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There are two ways of using VISTA - you can submit your own sequences and alignments for analysis (VISTA servers) or examine pre-computed whole-genome alignments of different species.", "homepage": "http://genome.lbl.gov/vista/index.shtml", "biotoolsID": "vista", "biotoolsCURIE": "biotools:vista", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_0491", "term": "Pairwise sequence alignment" }, { "uri": "http://edamontology.org/operation_0492", "term": "Multiple sequence alignment" }, { "uri": "http://edamontology.org/operation_0495", "term": "Local alignment" }, { "uri": "http://edamontology.org/operation_0496", "term": "Global alignment" } ], "input": [], "output": [], "note": null, "cmd": null } ], "toolType": [ "Web application", "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_3512", "term": "Gene transcripts" }, { "uri": "http://edamontology.org/topic_0102", "term": "Mapping" }, { "uri": "http://edamontology.org/topic_0749", "term": "Transcription factors and regulatory sites" }, { "uri": "http://edamontology.org/topic_0654", "term": "DNA" }, { "uri": "http://edamontology.org/topic_0196", "term": "Sequence assembly" }, { "uri": "http://edamontology.org/topic_3325", "term": "Rare diseases" } ], "operatingSystem": [ "Linux", "Windows", "Mac" ], "language": [ "Java" ], "license": null, "collectionID": [ "Rare Disease" ], "maturity": "Mature", "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [ { "url": "http://genome.lbl.gov/vista/help.shtml", "type": [ "General" ], "note": null } ], "publication": [ { "doi": "10.1093/bioinformatics/btg459", "pmid": "15033870", "pmcid": null, "type": [], "version": null, "note": null, "metadata": { "title": "Phylo-VISTA: Interactive visualization of multiple DNA sequence alignments", "abstract": "Motivation: The power of multi-sequence comparison for biological discovery is well established. The need for new capabilities to visualize and compare cross-species alignment data is intensified by the growing number of genomic sequence datasets being generated for an ever-increasing number of organisms. To be efficient these visualization algorithms must support the ability to accommodate consistently a wide range of evolutionary distances in a comparison framework based upon phylogenetic relationships. Results: We have developed Phylo-VISTA, an interactive tool for analyzing multiple alignments by visualizing a similarity measure for multiple DNA sequences. The complexity of visual presentation is effectively organized using a framework based upon interspecies phylogenetic relationships. The phylogenetic organization supports rapid, user-guided interspecies comparison. To aid in navigation through large sequence datasets, Phylo-VISTA leverages concepts from VISTA that provide a user with the ability to select and view data at varying resolutions. The combination of multiresolution data visualization and analysis, combined with the phylogenetic framework for interspecies comparison, produces a highly flexible and powerful tool for visual data analysis of multiple sequence alignments. © Oxford University Press 2004; all rights reserved.", "date": "2004-03-22T00:00:00Z", "citationCount": 34, "authors": [ { "name": "Shah N." }, { "name": "Couronne O." }, { "name": "Pennacchio L.A." }, { "name": "Brudno M." }, { "name": "Batzoglou S." }, { "name": "Bethel E.W." }, { "name": "Rubin E.M." }, { "name": "Hamann B." }, { "name": "Dubchak I." } ], "journal": "Bioinformatics" } }, { "doi": "10.1093/nar/gkm279", "pmid": "17488840", "pmcid": "PMC1933192", "type": [], "version": null, "note": null, "metadata": { "title": "Multiple whole genome alignments and novel biomedical applications at the VISTA portal", "abstract": "The VISTA portal for comparative genomics is designed to give biomedical scientists a unified set of tools to lead them from the raw DNA sequences through the alignment and annotation to the visualization of the results. The VISTA portal also hosts the alignments of a number of genomes computed by our group, allowing users to study the regions of their interest without having to manually download the individual sequences. Here we describe various algorithmic and functional improvements implemented in the VISTA portal over the last 2 years. The VISTA Portal is accessible at http://genome.lbl.gov/vista. © 2007 The Author(s).", "date": "2007-07-01T00:00:00Z", "citationCount": 26, "authors": [ { "name": "Brudno M." }, { "name": "Poliakov A." }, { "name": "Minovitsky S." }, { "name": "Ratnere I." }, { "name": "Dubchak I." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/bioinformatics/btg1005", "pmid": "12855437", "pmcid": null, "type": [], "version": null, "note": null, "metadata": { "title": "Glocal alignment: Finding rearrangements during alignment", "abstract": "Motivation: To compare entire genomes from different species, biologists increasingly need alignment methods that are efficient enough to handle long sequences, and accurate enough to correctly align the conserved biological features between distant species. The two main classes of pain/vise alignments are global alignment, where one string is transformed into the other, and local alignment, where all locations of similarity between the two strings are returned. Global alignments are less prone to demonstrating false homology as each letter of one sequence is constrained to being aligned to only one letter of the other. Local alignments, on the other hand, can cope with rearrangements between non-syntenic, orthologous sequences by identifying similar regions in sequences; this, however, comes at the expense of a higher false positive rate due to the inability of local aligners to take into account overall conservation maps. Results: In this paper we introduce the notion of glocal alignment, a combination of global and local methods, where one creates a map that transforms one sequence into the other while allowing for rearrangement events. We present Shuffle-LAGAN, a glocal alignment algorithm that is based on the CHAOS local alignment algorithm and the LAGAN global aligner, and is able to align long genomic sequences. To test Shuffle-LAGAN we split the mouse genome into BAC-sized pieces, and aligned these pieces to the human genome. We demonstrate that Shuffle-LAGAN compares favorably in terms of sensitivity and specificity with standard local and global aligners. From the alignments we conclude that about 9% of human/mouse homology may be attributed to small rearrangements, 63% of which are duplications. Availability: Our systems, supplemental information, and the alignment of the human and mouse genomes using Shuffle-LAGAN are available at http://lagan.stanford.edu/glocal. © Oxford University Press 2003; all rights reserved.", "date": "2003-12-01T00:00:00Z", "citationCount": 238, "authors": [ { "name": "Brudno M." }, { "name": "Malde S." }, { "name": "Poliakov A." }, { "name": "Do C.B." }, { "name": "Couronne O." }, { "name": "Dubchak I." }, { "name": "Batzoglou S." } ], "journal": "Bioinformatics" } }, { "doi": "10.1093/bioinformatics/16.11.1046", "pmid": "11159318", "pmcid": null, "type": [], "version": null, "note": null, "metadata": { "title": "Vista: Visualizing global DNA sequence alignments of arbitrary length", "abstract": "VISTA is a program for visualizing global DNA sequence alignments of arbitrary length. It has a clean output, allowing for easy identification of similarity, and is easily configurable, enabling the visualization of alignments of various lengths at different levels of resolution. It is currently available on the web, thus allowing for easy access by all researchers.", "date": "2000-01-01T00:00:00Z", "citationCount": 736, "authors": [ { "name": "Mayor C." }, { "name": "Brudno M." }, { "name": "Schwartz J.R." }, { "name": "Poliakov A." }, { "name": "Rubin E.M." }, { "name": "Frazer K.A." }, { "name": "Pachter L.S." }, { "name": "Dubchak I." } ], "journal": "Bioinformatics" } }, { "doi": "10.1101/gr.789803", "pmid": "12529311", "pmcid": "PMC430967", "type": [], "version": null, "note": null, "metadata": { "title": "AVID: A global alignment program.", "abstract": "In this paper we describe a new global alignment method called AVID. The method is designed to be fast, memory efficient, and practical for sequence alignments of large genomic regions up to megabases long. We present numerous applications of the method, ranging from the comparison of assemblies to alignment of large syntenic genomic regions and whole genome human/mouse alignments. We have also performed a quantitative comparison of AVID with other popular alignment tools. To this end, we have established a format for the representation of alignments and methods for their comparison. These formats and methods should be useful for future studies. The tools we have developed for the alignment comparisons, as well as the AVID program, are publicly available. See Web Site References section for AVID Web address and Web addresses for other programs discussed in this paper.", "date": "2003-01-01T00:00:00Z", "citationCount": 350, "authors": [ { "name": "Bray N." }, { "name": "Dubchak I." }, { "name": "Pachter L." } ], "journal": "Genome research" } }, { "doi": "10.1101/gr.926603", "pmid": "12654723", "pmcid": "PMC430158", "type": [], "version": null, "note": null, "metadata": { "title": "LAGAN and Multi-LAGAN: Efficient tools for large-scale multiple alignment of genomic DNA", "abstract": "To compare entire genomes from different species, biologists increasingly need alignment methods that are efficient enough to handle long sequences, and accurate enough to correctly align the conserved biological features between distant species. We present LAGAN, a system for rapid global alignment of two homologous genomic sequences, and Multi-LAGAN, a system for multiple global alignment of genomic sequences. We tested our systems on a data set consisting of greater than 12 Mb of high-quality sequence from 12 vertebrate species. All the sequence was derived from the genomic region orthologous to an ∼1.5-Mb region on human chromosome 7q31.3. We found that both LAGAN and Multi-LAGAN compare favorably with other leading alignment methods in correctly aligning protein-coding exons, especially between distant homologs such as human and chicken, or human and fugu. Multi-LAGAN produced the most accurate alignments, while requiring just 75 minutes on a personal computer to obtain the multiple alignment of all 12 sequences. Multi-LAGAN is a practical method for generating multiple alignments of long genomic sequences at any evolutionary distance. Our systems are publicly available at http://lagan.stanford.edu.", "date": "2003-04-01T00:00:00Z", "citationCount": 803, "authors": [ { "name": "Brudno M." }, { "name": "Do C.B." }, { "name": "Cooper G.M." }, { "name": "Kim M.F." }, { "name": "Davydov E." }, { "name": "Green E.D." }, { "name": "Sidow A." }, { "name": "Batzoglou S." } ], "journal": "Genome Research" } }, { "doi": "10.1093/nar/gkh458", "pmid": "15215394", "pmcid": "PMC441596", "type": [], "version": null, "note": null, "metadata": { "title": "VISTA: Computational tools for comparative genomics", "abstract": "Comparison of DNA sequences from different species is a fundamental method for identifying functional elements in genomes. Here, we describe the VISTA family of tools created to assist biologists in carrying out this task. Our first VISTA server at http://www-gsd.Ibl.gov/vista/ was launched in the summer of 2000 and was designed to align long genomic sequences and visualize these alignments with associated functional annotations. Currently the VISTA site includes multiple comparative genomics tools and provides users with rich capabilities to browse pre-computed whole-genome alignments of large vertebrate genomes and other groups of organisms with VISTA Browser, to submit their own sequences of interest to several VISTA servers for various types of comparative analysis and to obtain detailed comparative analysis results for a set of cardiovascular genes. We illustrate capabilities of the VISTA site by the analysis of a 180 kb interval on human chromosome 5 that encodes for the kinesin family member 3A (KIF3A) protein. © Oxford University Press 2004; all rights reserved.", "date": "2004-07-01T00:00:00Z", "citationCount": 1303, "authors": [ { "name": "Frazer K.A." }, { "name": "Pachter L." }, { "name": "Poliakov A." }, { "name": "Rubin E.M." }, { "name": "Dubchak I." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/nar/gkl822", "pmid": "17130149", "pmcid": "PMC1716724", "type": [], "version": null, "note": null, "metadata": { "title": "VISTA Enhancer Browser - A database of tissue-specific human enhancers", "abstract": "Despite the known existence of distant-acting cis-regulatory elements in the human genome, only a small fraction of these elements has been identified and experimentally characterized in vivo. This paucity of enhancer collections with defined activities has thus hindered computational approaches for the genome-wide prediction of enhancers and their functions. To fill this void, we utilize comparative genome analysis to identify candidate enhancer elements in the human genome coupled with the experimental determination of their in vivo enhancer activity in transgenic mice [L. A. Pennacchio et al. (2006) Nature, in press]. These data are available through the VISTA Enhancer Browser (http://enhancer.lbl.gov) This growing database currently contains over 250 experimentally tested DNA fragments, of which more than 100 have been validated as tissue-specific enhancers. For each positive enhancer, we provide digital images of whole-mount embryo staining at embryonic day 11.5 and an anatomical description of the reporter gene expression pattern. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to a particular tissue, or download entire collections of enhancers with a defined tissue specificity or conservation depth. These experimentally validated training sets are expected to provide a basis for a wide range of downstream computational and functional studies of enhancer function. © 2007 Oxford University Press.", "date": "2007-01-01T00:00:00Z", "citationCount": 589, "authors": [ { "name": "Visel A." }, { "name": "Minovitsky S." }, { "name": "Dubchak I." }, { "name": "Pennacchio L.A." } ], "journal": "Nucleic Acids Research" } } ], "credit": [ { "name": "Vista Support", "email": "Vista@lbl.gov", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "ELIXIR-EE", "additionDate": "2017-03-24T09:34:05Z", "lastUpdate": "2026-02-17T10:10:39.922919Z", "editPermission": { "type": "group", "authors": [ "mojtaba5" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "CopySeq", "description": "A computational approach for the inference of copy-number genotypes from personal genome sequencing data.", "homepage": "http://www.embl.de/%7Ekorbel/CopySeq/", "biotoolsID": "copyseq", "biotoolsCURIE": "biotools:copyseq", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2238", "term": "Statistical calculation" }, { "uri": "http://edamontology.org/operation_3233", "term": "Copy number estimation" }, { "uri": "http://edamontology.org/operation_3197", "term": "Genetic variation analysis" } ], "input": [], "output": [], "note": null, "cmd": null } ], "toolType": [ "Command-line tool" ], "topic": [ { "uri": "http://edamontology.org/topic_3175", "term": "DNA structural variation" }, { "uri": "http://edamontology.org/topic_0625", "term": "Genotype and phenotype" }, { "uri": "http://edamontology.org/topic_3577", "term": "Personalised medicine" }, { "uri": "http://edamontology.org/topic_3574", "term": "Human genetics" }, { "uri": "http://edamontology.org/topic_0080", "term": "Sequence analysis" } ], "operatingSystem": [ "Linux", "Mac" ], "language": [ "Java", "R" ], "license": null, "collectionID": [], "maturity": "Mature", "cost": null, "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [], "publication": [ { "doi": "10.1371/journal.pcbi.1000988", "pmid": "21085617", "pmcid": "PMC2978733", "type": [], "version": null, "note": null, "metadata": null } ], "credit": [], "owner": "seqwiki_import", "additionDate": "2017-01-13T13:14:11Z", "lastUpdate": "2026-01-21T15:36:21.848693Z", "editPermission": { "type": "group", "authors": [ "ELIXIR-EE" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "GWASTool", "description": "GWASTool is a web pipeline designed for detecting SNP-phenotype associations, offering a unified framework that simplifies GWAS analysis by encapsulating the heterogeneity of various algorithms and providing tools for 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"download": [], "documentation": [], "publication": [ { "doi": "10.1016/J.FMRE.2024.03.005", "pmid": "39660349", "pmcid": "PMC11630686", "type": [], "version": null, "note": null, "metadata": null } ], "credit": [ { "name": "Guoxian Yu", "email": "gxyu@sdu.edu.cn", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [], "note": null }, { "name": "Jun Wang", "email": "kingjun@sdu.edu.cn", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [], "note": null } ], "owner": "pub2tools2024", "additionDate": "2026-01-15T12:21:32.742056Z", "lastUpdate": "2026-01-15T12:21:32.743974Z", "editPermission": { "type": "private", "authors": [] }, "validated": 0, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "Proteo Visualizer", "description": "Proteo Visualizer is a Cytoscape app designed to retrieve protein interaction networks from STRING using protein groups as input, allowing visualization and network analysis of MS-based proteomics data.", "homepage": "https://apps.cytoscape.org/apps/ProteoVisualizer", "biotoolsID": "proteo_visualizer", "biotoolsCURIE": "biotools:proteo_visualizer", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_0276", "term": "Protein interaction network analysis" }, { "uri": "http://edamontology.org/operation_3925", "term": "Network visualisation" }, { "uri": "http://edamontology.org/operation_2436", "term": "Gene-set enrichment analysis" }, { "uri": "http://edamontology.org/operation_3630", "term": "Protein quantification" }, { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" } ], "input": [], "output": [], "note": null, "cmd": null } ], "toolType": [], "topic": [ { "uri": "http://edamontology.org/topic_0121", "term": "Proteomics" }, { "uri": "http://edamontology.org/topic_3520", "term": "Proteomics 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} ], "toolType": [ "Command-line tool" ], "topic": [ { "uri": "http://edamontology.org/topic_3520", "term": "Proteomics experiment" }, { "uri": "http://edamontology.org/topic_3172", "term": "Metabolomics" }, { "uri": "http://edamontology.org/topic_0154", "term": "Small molecules" }, { "uri": "http://edamontology.org/topic_3474", "term": "Machine learning" }, { "uri": "http://edamontology.org/topic_0153", "term": "Lipids" } ], "operatingSystem": [ "Mac", "Linux", "Windows" ], "language": [ "Python", "Java" ], "license": "AGPL-3.0", "collectionID": [], "maturity": null, "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [], "publication": [ { "doi": "10.1038/S41592-022-01486-3", "pmid": "35637304", "pmcid": "PMC9262714", "type": [], "version": null, "note": null, "metadata": { "title": "MSNovelist: de novo structure generation from mass spectra", "abstract": "© 2022, The Author(s).Current methods for structure elucidation of small molecules rely on finding similarity with spectra of known compounds, but do not predict structures de novo for unknown compound classes. We present MSNovelist, which combines fingerprint prediction with an encoder–decoder neural network to generate structures de novo solely from tandem mass spectrometry (MS2) spectra. In an evaluation with 3,863 MS2 spectra from the Global Natural Product Social Molecular Networking site, MSNovelist predicted 25% of structures correctly on first rank, retrieved 45% of structures overall and reproduced 61% of correct database annotations, without having ever seen the structure in the training phase. Similarly, for the CASMI 2016 challenge, MSNovelist correctly predicted 26% and retrieved 57% of structures, recovering 64% of correct database annotations. Finally, we illustrate the application of MSNovelist in a bryophyte MS2 dataset, in which de novo structure prediction substantially outscored the best database candidate for seven spectra. MSNovelist is ideally suited to complement library-based annotation in the case of poorly represented analyte classes and novel compounds.", "date": "2022-07-01T00:00:00Z", "citationCount": 1, "authors": [ { "name": "Stravs M.A." }, { "name": "Duhrkop K." }, { "name": "Bocker S." }, { "name": "Zamboni N." } ], "journal": "Nature Methods" } } ], "credit": [ { "name": "Nicola Zamboni", "email": "zamboni@imsb.biol.ethz.ch", "url": null, "orcidid": "https://orcid.org/0000-0003-1271-1021", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [], "note": null }, { "name": "Sebastian Böcker", "email": null, "url": null, "orcidid": "https://orcid.org/0000-0002-9304-8091", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null }, { "name": "Kai Dührkop", "email": null, "url": null, "orcidid": "https://orcid.org/0000-0002-9056-0540", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null }, { "name": "Michael A. Stravs", "email": null, "url": null, "orcidid": "https://orcid.org/0000-0002-1426-8572", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null } ], "owner": "Jennifer", "additionDate": "2022-09-05T21:19:03.847868Z", "lastUpdate": "2025-11-03T16:47:18.329938Z", "editPermission": { "type": "group", "authors": [ "recetox-specdatri" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": "tool" }, { "name": "PeakForest", "description": "A multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management.", "homepage": "https://peakforest.org", "biotoolsID": "peakforest", "biotoolsCURIE": "biotools:peakforest", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_3803", "term": "Natural product identification" }, { "uri": "http://edamontology.org/operation_3801", "term": "Spectral library search" }, { "uri": "http://edamontology.org/operation_3431", "term": "Deposition" }, { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" } ], "input": [], "output": [], "note": null, "cmd": null } ], "toolType": [ "Web application", "Command-line tool" ], "topic": [ { "uri": "http://edamontology.org/topic_3172", "term": "Metabolomics" }, { "uri": "http://edamontology.org/topic_0154", "term": "Small molecules" }, { "uri": "http://edamontology.org/topic_0593", "term": "NMR" }, { "uri": "http://edamontology.org/topic_3520", "term": "Proteomics experiment" }, { "uri": "http://edamontology.org/topic_0219", "term": "Data submission, annotation and curation" } ], "operatingSystem": [ "Mac", "Linux", "Windows" ], "language": [ "Java", "JavaScript" ], "license": "Other", "collectionID": [], "maturity": null, "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [ { "url": "https://github.com/peakforest", "type": [ "Repository" ], "note": null } ], "download": [], "documentation": [], "publication": [ { "doi": "10.1007/S11306-022-01899-3", "pmid": "35699774", "pmcid": "PMC9197906", "type": [], "version": null, "note": null, "metadata": { "title": "PeakForest: a multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management", "abstract": "© 2022, The Author(s).Introduction: Accuracy of feature annotation and metabolite identification in biological samples is a key element in metabolomics research. However, the annotation process is often hampered by the lack of spectral reference data in experimental conditions, as well as logistical difficulties in the spectral data management and exchange of annotations between laboratories. Objectives: To design an open-source infrastructure allowing hosting both nuclear magnetic resonance (NMR) and mass spectra (MS), with an ergonomic Web interface and Web services to support metabolite annotation and laboratory data management. Methods: We developed the PeakForest infrastructure, an open-source Java tool with automatic programming interfaces that can be deployed locally to organize spectral data for metabolome annotation in laboratories. Standardized operating procedures and formats were included to ensure data quality and interoperability, in line with international recommendations and FAIR principles. Results: PeakForest is able to capture and store experimental spectral MS and NMR metadata as well as collect and display signal annotations. This modular system provides a structured database with inbuilt tools to curate information, browse and reuse spectral information in data treatment. PeakForest offers data formalization and centralization at the laboratory level, facilitating shared spectral data across laboratories and integration into public databases. Conclusion: PeakForest is a comprehensive resource which addresses a technical bottleneck, namely large-scale spectral data annotation and metabolite identification for metabolomics laboratories with multiple instruments. PeakForest databases can be used in conjunction with bespoke data analysis pipelines in the Galaxy environment, offering the opportunity to meet the evolving needs of metabolomics research. Developed and tested by the French metabolomics community, PeakForest is freely-available at https://github.com/peakforest.", "date": "2022-06-01T00:00:00Z", "citationCount": 0, "authors": [ { "name": "Paulhe N." }, { "name": "Canlet C." }, { "name": "Damont A." }, { "name": "Peyriga L." }, { "name": "Durand S." }, { "name": "Deborde C." }, { "name": "Alves S." }, { "name": "Bernillon S." }, { "name": "Berton T." }, { "name": "Bir R." }, { "name": "Bouville A." }, { "name": "Cahoreau E." }, { "name": "Centeno D." }, { "name": "Costantino R." }, { "name": "Debrauwer L." }, { "name": "Delabriere A." }, { "name": "Duperier C." }, { "name": "Emery S." }, { "name": "Flandin A." }, { "name": "Hohenester U." }, { "name": "Jacob D." }, { "name": "Joly C." }, { "name": "Jousse C." }, { "name": "Lagree M." }, { "name": "Lamari N." }, { "name": "Lefebvre M." }, { "name": "Lopez-Piffet C." }, { "name": "Lyan B." }, { "name": "Maucourt M." }, { "name": "Migne C." }, { "name": "Olivier M.-F." }, { "name": "Rathahao-Paris E." }, { "name": "Petriacq P." }, { "name": "Pinelli J." }, { "name": "Roch L." }, { "name": "Roger P." }, { "name": "Roques S." }, { "name": "Tabet J.-C." }, { "name": "Tremblay-Franco M." }, { "name": "Traikia M." }, { "name": "Warnet A." }, { "name": "Zhendre V." }, { "name": "Rolin D." }, { "name": "Jourdan F." }, { "name": "Thevenot E." }, { "name": "Moing A." }, { "name": "Jamin E." }, { "name": "Fenaille F." }, { "name": "Junot C." }, { "name": "Pujos-Guillot E." }, { "name": "Giacomoni F." } ], "journal": "Metabolomics" } } ], "credit": [ { "name": "Franck Giacomoni", "email": "Franck.Giacomoni@inrae.fr", "url": null, "orcidid": "https://orcid.org/0000-0001-6063-4214", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [], "note": null }, { "name": "Estelle Pujos-Guillot", "email": null, "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null }, { "name": "Christophe Junot", "email": null, "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null }, { "name": "François Fenaille", "email": null, "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null } ], "owner": "Jennifer", "additionDate": "2022-09-04T23:10:37.868759Z", "lastUpdate": "2025-11-03T16:47:12.424836Z", "editPermission": { "type": "group", "authors": [ "recetox-specdatri" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": "tool" }, { "name": "MetaboAnalyst", "description": "Statistical, functional and integrative analysis of metabolomics data , interpretation, and integration with other omics data.", "homepage": "http://www.metaboanalyst.ca", "biotoolsID": "metaboanalyst", "biotoolsCURIE": "biotools:metaboanalyst", "version": [ "4.0", "5.0" ], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_3501", "term": "Enrichment analysis" } ], "input": [], "output": [], "note": null, "cmd": null }, { "operation": [ { "uri": "http://edamontology.org/operation_2409", "term": "Data handling" } ], "input": [], "output": [], "note": null, "cmd": null }, { "operation": [ { "uri": "http://edamontology.org/operation_2238", "term": "Statistical calculation" } ], "input": [], "output": [], "note": null, "cmd": null }, { "operation": [ { "uri": "http://edamontology.org/operation_2497", "term": "Pathway or network analysis" } ], "input": [], "output": [], "note": null, "cmd": null } ], "toolType": [ "Web application" ], "topic": [ { "uri": "http://edamontology.org/topic_3172", "term": "Metabolomics" }, { "uri": "http://edamontology.org/topic_3174", "term": "Metagenomics" }, { "uri": "http://edamontology.org/topic_0154", "term": "Small molecules" } ], "operatingSystem": [], "language": [ "R", "Java" ], "license": "GPL-3.0", "collectionID": [], "maturity": null, "cost": null, "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [ { "url": "http://www.metaboanalyst.ca/faces/docs/Resources.xhtml", "type": "Source code", "note": null, "version": null } ], "documentation": [ { "url": "http://www.metaboanalyst.ca/faces/docs/Faqs.xhtml", "type": [ "General" ], "note": null }, { "url": "http://www.metaboanalyst.ca/faces/docs/Tutorial.xhtml", "type": [ "Training material" ], "note": null }, { "url": "http://www.metaboanalyst.ca/faces/docs/Contact.xhtml", "type": [ "General" ], "note": null } ], "publication": [ { "doi": "10.1093/nar/gky310", "pmid": "29762782", "pmcid": "PMC6030889", "type": [], "version": null, "note": null, "metadata": { "title": "MetaboAnalyst 4.0: Towards more transparent and integrative metabolomics analysis", "abstract": "We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four newkey features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using themummichog algorithm; (3) a Biomarker Metaanalysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of Metabo-Analyst.", "date": "2018-07-02T00:00:00Z", "citationCount": 2833, "authors": [ { "name": "Chong J." }, { "name": "Soufan O." }, { "name": "Li C." }, { "name": "Caraus I." }, { "name": "Li S." }, { "name": "Bourque G." }, { "name": "Wishart D.S." }, { "name": "Xia J." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1038/s41596-022-00710-w", "pmid": "35715522", "pmcid": null, "type": [], "version": null, "note": null, "metadata": { "title": "Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data", "abstract": "Liquid chromatography coupled with high-resolution mass spectrometry (LC–HRMS) has become a workhorse in global metabolomics studies with growing applications across biomedical and environmental sciences. However, outstanding bioinformatics challenges in terms of data processing, statistical analysis and functional interpretation remain critical barriers to the wider adoption of this technology. To help the user community overcome these barriers, we have made major updates to the well-established MetaboAnalyst platform (www.metaboanalyst.ca) This protocol extends the previous 2011 Nature Protocol by providing stepwise instructions on how to use MetaboAnalyst 5.0 to: optimize parameters for LC–HRMS spectra processing; obtain functional insights from peak list data; integrate metabolomics data with transcriptomics data or combine multiple metabolomics datasets; conduct exploratory statistical analysis with complex metadata. 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In particular, XNAT enables qualitycontrol procedures and provides secure access to and storage of data. XNAT follows a threetiered architecture that includes a data archive, user interface, and middleware engine. Data can be entered into the archive as XML or through data entry forms. Newly added data are stored in a virtual quarantine until an authorized user has validated it. XNAT subsequently maintains a history profile to track all changes made to the managed data. User access to the archive is provided by a secure web application. The web application provides a number of quality control and productivity features, including data entry forms, data-type-specific searches, searches that combine across data types, detailed reports, and listings of experimental data, upload/download tools, access to standard laboratory workflows, and administration and security tools. XNAT also includes an online image viewer that supports a number of common neuroimaging formats, including DICOM and Analyze. The viewer can be extended to support additional formats and to generate custom displays. By managing data with XNAT, laboratories are prepared to better maintain the long-term integrity of their data, to explore emergent relations across data types, and to share their data with the broader neuroimaging community. © Copyright 2007 by Humana Press Inc. All rights of any nature whatsoever are reserved.", "date": "2007-03-01T00:00:00Z", "citationCount": 378, "authors": [ { "name": "Marcus D.S." }, { "name": "Olsen T.R." }, { "name": "Ramaratnam M." }, { "name": "Buckner R.L." } ], "journal": "Neuroinformatics" } }, { "doi": "10.1162/jocn.2009.21407", "pmid": "19929323", "pmcid": "PMC2895005", "type": [ "Usage" ], "version": null, "note": null, "metadata": { "title": "Open access series of imaging studies: Longitudinal MRI data in nondemented and demented older adults", "abstract": "The Open Access Series of Imaging Studies is a series of neuroimaging data sets that are publicly available for study and analysis. The present MRI data set consists of a longitudinal collection of 150 subjects aged 60 to 96 years all acquired on the same scanner using identical sequences. Each subject was scanned on two or more visits, separated by at least 1 year for a total of 373 imaging sessions. Subjects were characterized using the Clinical Dementia Rating (CDR) as either nondemented or with very mild tomild Alzheimer's disease. Seventy-two of the subjects were characterized as nondemented throughout the study. Sixty-four of the included subjects were characterized as demented at the time of their initial visits and remained so for subsequent scans, including 51 individuals with CDR 0.5 similar level of impairment to individuals elsewhere considered to have \"mild cognitive impairment.\" Another 14 subjects were characterized as nondemented at the time of their initial visit (CDR 0) and were subsequently characterized as demented at a later visit (CDR > 0). The subjects were all right-handed and include bothmen (n=62) and women (n = 88). For each scanning session, three or four individual T1-weighted MRI scans were obtained. Multiple withinsession acquisitions provide extremely high contrast to noise, making the data amenable to a wide range of analytic approaches including automated computational analysis. Automated calculation of whole-brain volume is presented to demonstrate use of the data for measuring differences associated with normal aging and Alzheimer's disease. © 2010 Massachusetts Institute of Technology.", "date": "2010-12-01T00:00:00Z", "citationCount": 461, "authors": [ { "name": "Marcus D.S." }, { "name": "Fotenos A.F." }, { "name": "Csernansky J.G." }, { "name": "Morris J.C." }, { "name": "Buckner R.L." } ], "journal": "Journal of Cognitive Neuroscience" } } ], "credit": [ { "name": "Daniel Marcus", "email": "dmarcus@wustl.edu", "url": "https://profiles.wustl.edu/en/persons/daniel-marcus", "orcidid": "https://orcid.org/0000-0001-5662-5358", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "hachterberg", "additionDate": "2025-07-24T08:48:17.637773Z", "lastUpdate": "2025-09-30T08:14:29.721796Z", "editPermission": { "type": "group", "authors": [ "vedrankasalica", "VKasalica" ] }, 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Its current implementations supported by URGI are: WheatIS, Plant, RARe.", "homepage": "https://urgi.versailles.inrae.fr/data-discovery/", "biotoolsID": "DataDiscovery", "biotoolsCURIE": "biotools:DataDiscovery", "version": [], "otherID": [], "relation": [ { "biotoolsID": "wheatis", "type": "usedBy" }, { "biotoolsID": "RARe", "type": "usedBy" }, { "biotoolsID": "Plant_DataDiscovery", "type": "usedBy" } ], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2421", "term": "Database search" }, { "uri": "http://edamontology.org/operation_3625", "term": "Relation extraction" }, { "uri": "http://edamontology.org/operation_0227", "term": "Indexing" }, { "uri": "http://edamontology.org/operation_3908", "term": "Information retrieval" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_0968", "term": "Keyword" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_2353", "term": "Ontology data" }, "format": [] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_2080", "term": "Database search results" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_2093", "term": "Data reference" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_0842", "term": "Identifier" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Web API", "Web application", "Web service", "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_0780", "term": "Plant biology" }, { "uri": "http://edamontology.org/topic_0610", "term": "Ecology" }, { "uri": "http://edamontology.org/topic_3071", "term": "Biological databases" }, { "uri": "http://edamontology.org/topic_0091", "term": "Bioinformatics" }, { "uri": "http://edamontology.org/topic_3810", "term": "Agricultural science" } ], "operatingSystem": [ "Linux" ], "language": [ "JavaScript", "Java", "Bash" ], "license": "BSD-3-Clause", "collectionID": [ "elixir-fr-sdp-2019", "URGI" ], "maturity": "Emerging", "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [ "Data", "Tools", "Interoperability" ], "elixirNode": [ "France" ], "elixirCommunity": [], "link": [ { "url": "https://forgemia.inra.fr/urgi-is/data-discovery", "type": [ "Repository" ], "note": "GitLab code repository for DataDiscovery" }, { "url": "https://github.com/gnpis/DataDiscovery/", "type": [ "Mirror" ], "note": "Code repository mirror link for DataDiscovery" } ], "download": [], "documentation": [ { "url": "https://forgemia.inra.fr/urgi-is/data-discovery/blob/master/LEGAL-MENTIONS.md", "type": [ "Terms of use" ], "note": "General terms of use" }, { "url": "https://forgemia.inra.fr/urgi-is/data-discovery/blob/master/README.md#contribute", "type": [ "Contributions policy" ], "note": "How to contribute" }, { "url": "https://forgemia.inra.fr/urgi-is/data-discovery/blob/master/HELP.md", "type": [ "User manual" ], "note": "How to use" }, { "url": "https://forgemia.inra.fr/urgi-is/data-discovery/blob/master/README.md#setup", "type": [ "Installation instructions" ], "note": "How to install" } ], "publication": [ { "doi": "10.3835/plantgenome2015.06.0038", "pmid": null, "pmcid": null, "type": [ "Primary" ], "version": null, "note": "1-\tSpannagl, M., Alaux, M., Lange, M., Bolser, D. M., Bader, K. C., Letellier, T., Kimmel, E., Flores, R.-G., Pommier, C., Kerhornou, A., Walts, B., Nussbaumer, T., Grabmuller, C., Chen, J., Colmsee, C., Beier, S., Mascher, M., Schmutzer, T., Arend, D., Thanki, A., Ramirez-Gonzalez, R., Ayling, M., Ayling, S., Caccamo, M., Mayer, K. F. X., Scholz, U., Steinbach, D., Quesneville, H., Kersey, P. (2016). TransPLANT resources for triticeae genomic data. Plant Genome, 9 (1), 13 p.", "metadata": { "title": "TransPLANT resources for triticeae genomic data", "abstract": "The genome sequences of many important Triticeae species, including bread wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.), remained uncharacterized for a long time because their high repeat content, large sizes, and polyploidy. As a result of improvements in sequencing technologies and novel analyses strategies, several of these have recently been deciphered. These efforts have generated new insights into Triticeae biology and genome organization and have important implications for downstream usage by breeders, experimental biologists, and comparative genomicists. transPLANT (http://www.transplantdb.eu) is an EU-funded project aimed at constructing hardware, software, and data infrastructure for genome-scale research in the life sciences. Since the Triticeae data are intrinsically complex, heterogenous, and distributed, the transPLANT consortium has undertaken efforts to develop common data formats and tools that enable the exchange and integration of data from distributed resources. Here we present an overview of the individual Triticeae genome resources hosted by transPLANT partners, introduce the objectives of transPLANT, and outline common developments and interfaces supporting integrated data access.", "date": "2016-03-01T00:00:00Z", "citationCount": 6, "authors": [ { "name": "Spannagl M." }, { "name": "Alaux M." }, { "name": "Lange M." }, { "name": "Bolser D.M." }, { "name": "Bader K.C." }, { "name": "Letellier T." }, { "name": "Kimmel E." }, { "name": "Flores R." }, { "name": "Pommier C." }, { "name": "Kerhornou A." }, { "name": "Walts B." }, { "name": "Nussbaumer T." }, { "name": "Grabmuller C." }, { "name": "Chen J." }, { "name": "Colmsee C." }, { "name": "Beier S." }, { "name": "Mascher M." }, { "name": "Schmutzer T." }, { "name": "Arend D." }, { "name": "Thanki A." }, { "name": "Ramirez-Gonzalez R." }, { "name": "Ayling M." }, { "name": "Ayling S." }, { "name": "Caccamo M." }, { "name": "Mayer K.F.X." }, { "name": "Scholz U." }, { "name": "Steinbach D." }, { "name": "Quesneville H." }, { "name": "Kersey P.J." } ], "journal": "Plant Genome" } }, { "doi": "10.1038/hortres.2016.56", "pmid": null, "pmcid": null, "type": [], "version": null, "note": "2-\tAdam-Blondon, A.-F., Alaux, M., Pommier, C., Cantu, D., Cheng, Z.-M., Cramer, G. R., Davies, C., Delrot, S., Deluc, L., di Gaspero, G., Grimplet, J., Fennell, A., Londo, J. P., Kersey, P., Mattivi, F., Naithani, S., Neveu, P., Nikolski, M., Pezzotti, M., Reisch, B. I., Topfer, R., Vivier, M., Ware, D., Quesneville, H. (2016). Towards an open grapevine information system. Horticulture Research, 3, 8 p. , DOI : 10.1038/hortres.2016.56", "metadata": { "title": "Towards an open grapevine information system", "abstract": "Viticulture, like other fields of agriculture, is currently facing important challenges that will be addressed only through sustained, dedicated and coordinated research. Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature, in many domains of study, including grapevine research, there is a need to improve the findability, accessibility, interoperability and reusability (FAIR-ness) of these data. Considering the heterogeneous nature of the data produced, the transnational nature of the scientific community and the experience gained elsewhere, we have formed an open working group, in the framework of the International Grapevine Genome Program (www.vitaceae.org) to construct a coordinated federation of information systems holding grapevine data distributed around the world, providing an integrated set of interfaces supporting advanced data modeling, rich semantic integration and the next generation of data mining tools. To achieve this goal, it will be critical to develop, implement and adopt appropriate standards for data annotation and formatting. The development of this system, the GrapeIS, linking genotypes to phenotypes, and scientific research to agronomical and oeneological data, should provide new insights into grape biology, and allow the development of new varieties to meet the challenges of biotic and abiotic stress, environmental change, and consumer demand.", "date": "2016-11-23T00:00:00Z", "citationCount": 37, "authors": [ { "name": "Adam-Blondon A.-F." }, { "name": "Alaux M." }, { "name": "Pommier C." }, { "name": "Cantu D." }, { "name": "Cheng Z.-M." }, { "name": "Cramer G." }, { "name": "Davies C." }, { "name": "Delrot S." }, { "name": "Deluc L." }, { "name": "Di Gaspero G." }, { "name": "Grimplet J." }, { "name": "Fennell A." }, { "name": "Londo J." }, { "name": "Kersey P." }, { "name": "Mattivi F." }, { "name": "Naithani S." }, { "name": "Neveu P." }, { "name": "Nikolski M." }, { "name": "Pezzotti M." }, { "name": "Reisch B." }, { "name": "Topfer R." }, { "name": "Vivier M." }, { "name": "Ware D." }, { "name": "Quesneville H." } ], "journal": "Horticulture Research" } }, { "doi": "10.1186/s13059-018-1491-4", "pmid": null, "pmcid": null, "type": [], "version": null, "note": "3-\tAlaux M, Rogers J, Letellier T, Flores R, Alfama F, Pommier C, Mohellibi N, Durand S, Kimmel E, Michotey C, Guerche C, Loaec M, Lainé M, Steinbach D, Choulet F, Rimbert H, Leroy P, Guilhot N, Salse J, Feuillet C, International Wheat Genome Sequencing Consortium, Paux E, Eversole K, Adam-Blondon A-F, Quesneville H (2018) Linking the International Wheat Genome Sequencing Consortium bread wheat reference genome sequence to wheat genetic and phenomic data. Genome Biology, 19:111.", "metadata": { "title": "Linking the International Wheat Genome Sequencing Consortium bread wheat reference genome sequence to wheat genetic and phenomic data", "abstract": "The Wheat@URGI portal has been developed to provide the international community of researchers and breeders with access to the bread wheat reference genome sequence produced by the International Wheat Genome Sequencing Consortium. Genome browsers, BLAST, and InterMine tools have been established for in-depth exploration of the genome sequence together with additional linked datasets including physical maps, sequence variations, gene expression, and genetic and phenomic data from other international collaborative projects already stored in the GnpIS information system. The portal provides enhanced search and browser features that will facilitate the deployment of the latest genomics resources in wheat improvement.", "date": "2018-08-17T00:00:00Z", "citationCount": 181, "authors": [ { "name": "Alaux M." }, { "name": "Rogers J." }, { "name": "Letellier T." }, { "name": "Flores R." }, { "name": "Alfama F." }, { "name": "Pommier C." }, { "name": "Mohellibi N." }, { "name": "Durand S." }, { "name": "Kimmel E." }, { "name": "Michotey C." }, { "name": "Guerche C." }, { "name": "Loaec M." }, { "name": "Laine M." }, { "name": "Steinbach D." }, { "name": "Choulet F." }, { "name": "Rimbert H." }, { "name": "Leroy P." }, { "name": "Guilhot N." }, { "name": "Salse J." }, { "name": "Feuillet C." }, { "name": "Paux E." }, { "name": "Eversole K." }, { "name": "Adam-Blondon A.-F." }, { "name": "Quesneville H." } ], "journal": "Genome Biology" } } ], "credit": [ { "name": "urgi-support", "email": "urgi-support@inrae.fr", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [ "Primary contact", "Support" ], "note": null } ], "owner": "nfrancillon", "additionDate": "2020-01-21T16:40:38Z", "lastUpdate": "2025-07-29T13:42:39.375595Z", "editPermission": { "type": "group", "authors": [ "urgi-contact", "cpommier", "cmichotey", "erlefloch", "raphael.flores" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "OakMine", "description": "Quercus robur annotation database", "homepage": "https://urgi.versailles.inra.fr/OakMine_PM1N", "biotoolsID": "OakMine", "biotoolsCURIE": "biotools:OakMine", "version": [ "2.3" ], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" }, { "uri": "http://edamontology.org/operation_0337", "term": "Visualisation" }, { "uri": "http://edamontology.org/operation_2436", "term": "Gene-set enrichment analysis" }, { "uri": "http://edamontology.org/operation_0224", "term": "Query and retrieval" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_1255", "term": "Sequence features" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_2353", "term": "Ontology data" }, "format": [] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_3753", "term": "Over-representation data" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_3786", "term": "Query script" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_1255", "term": "Sequence features" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Web application", "Web service", "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_3071", "term": "Data management" }, { "uri": "http://edamontology.org/topic_0622", "term": "Genomics" }, { "uri": "http://edamontology.org/topic_0121", "term": "Proteomics" } ], "operatingSystem": [ "Linux", "Mac" ], "language": [ "R", "Ruby", "Java", "Python", "JavaScript", "Perl" ], "license": "LGPL-2.1", "collectionID": [], "maturity": "Mature", "cost": "Free of charge", "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [ { "url": "https://registry.intermine.org", "type": [ "Software catalogue" ], "note": null }, { "url": "http://intermine.org", "type": [ "Other" ], "note": null } ], "download": [], "documentation": [ { "url": "http://intermine.readthedocs.org/en/latest/web-services/", "type": [ "API documentation" ], "note": null }, { "url": "https://flymine.readthedocs.io/en/latest/", "type": [ "User manual" ], "note": null } ], "publication": [ { "doi": "10.1093/bioinformatics/bts577", "pmid": "23023984", "pmcid": "PMC3516146", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "InterMine: A flexible data warehouse system for the integration and analysis of heterogeneous biological data", "abstract": "InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. © The Author 2012. Published by Oxford University Press. All rights reserved.", "date": "2012-12-01T00:00:00Z", "citationCount": 202, "authors": [ { "name": "Smith R.N." }, { "name": "Aleksic J." }, { "name": "Butano D." }, { "name": "Carr A." }, { "name": "Contrino S." }, { "name": "Hu F." }, { "name": "Lyne M." }, { "name": "Lyne R." }, { "name": "Kalderimis A." }, { "name": "Rutherford K." }, { "name": "Stepan R." }, { "name": "Sullivan J." }, { "name": "Wakeling M." }, { "name": "Watkins X." }, { "name": "Micklem G." } ], "journal": "Bioinformatics" } } ], "credit": [], "owner": "InterMine", "additionDate": "2019-11-27T10:47:08Z", "lastUpdate": "2025-07-29T13:42:35.424110Z", "editPermission": { "type": "group", "authors": [ "cmichotey" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "WheatMine", "description": "Wheat IWGSC RefSeq v1.0", "homepage": "https://urgi.versailles.inra.fr/WheatMine", "biotoolsID": "WheatMine", "biotoolsCURIE": "biotools:WheatMine", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" }, { "uri": "http://edamontology.org/operation_0337", "term": "Visualisation" }, { "uri": "http://edamontology.org/operation_2436", "term": "Gene-set enrichment analysis" }, { "uri": "http://edamontology.org/operation_0224", "term": "Query and retrieval" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_1255", "term": "Sequence features" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_2353", "term": "Ontology data" }, "format": [] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_3753", "term": "Over-representation data" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_3786", "term": "Query script" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_1255", "term": "Sequence features" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Web application", "Web service", "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_3071", "term": "Data management" }, { "uri": "http://edamontology.org/topic_0622", "term": "Genomics" }, { "uri": "http://edamontology.org/topic_0121", "term": "Proteomics" } ], "operatingSystem": [ "Linux", "Mac" ], "language": [ "R", "Ruby", "Java", "Python", "JavaScript", "Perl" ], "license": "LGPL-2.1", "collectionID": [], "maturity": "Mature", "cost": "Free of charge", "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [ { "url": "https://registry.intermine.org", "type": [ "Software catalogue" ], "note": null }, { "url": "http://intermine.org", "type": [ "Other" ], "note": null } ], "download": [], "documentation": [ { "url": "http://intermine.readthedocs.org/en/latest/web-services/", "type": [ "API documentation" ], "note": null }, { "url": "https://flymine.readthedocs.io/en/latest/", "type": [ "User manual" ], "note": null } ], "publication": [ { "doi": "10.1093/bioinformatics/bts577", "pmid": "23023984", "pmcid": "PMC3516146", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "InterMine: A flexible data warehouse system for the integration and analysis of heterogeneous biological data", "abstract": "InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. © The Author 2012. Published by Oxford University Press. All rights reserved.", "date": "2012-12-01T00:00:00Z", "citationCount": 202, "authors": [ { "name": "Smith R.N." }, { "name": "Aleksic J." }, { "name": "Butano D." }, { "name": "Carr A." }, { "name": "Contrino S." }, { "name": "Hu F." }, { "name": "Lyne M." }, { "name": "Lyne R." }, { "name": "Kalderimis A." }, { "name": "Rutherford K." }, { "name": "Stepan R." }, { "name": "Sullivan J." }, { "name": "Wakeling M." }, { "name": "Watkins X." }, { "name": "Micklem G." } ], "journal": "Bioinformatics" } } ], "credit": [], "owner": "InterMine", "additionDate": "2019-11-27T10:47:40Z", "lastUpdate": "2025-07-29T13:42:33.209390Z", "editPermission": { "type": "group", "authors": [ "cmichotey" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "Online SBML Validator", "description": "Check the syntax and internal consistency of files in SBML (The Systems Biology Markup Language) format.", "homepage": "https://sbml.bioquant.uni-heidelberg.de/validator_servlet/", "biotoolsID": "online_sbml_validator", "biotoolsCURIE": "biotools:online_sbml_validator", "version": [ "1" ], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" }, { "uri": "http://edamontology.org/operation_0336", "term": "Format validation" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_0950", "term": "Mathematical model" }, "format": [ { "uri": "http://edamontology.org/format_3686", "term": "COMBINE OMEX" }, { "uri": "http://edamontology.org/format_2585", "term": "SBML" } ] } ], "output": [], "note": null, "cmd": null } ], "toolType": [ "Web API", "Web application" ], "topic": [ { "uri": "http://edamontology.org/topic_2259", "term": "Systems biology" }, { "uri": "http://edamontology.org/topic_3071", "term": "Data management" } ], "operatingSystem": [ "Linux", "Windows", "Mac" ], "language": [ "Java", "Python" ], "license": "LGPL-2.0", "collectionID": [], "maturity": null, "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [ { "url": "https://sbml.org/facilities/", "type": [ "Service" ], "note": null } ], "download": [], "documentation": [ { "url": "https://web.archive.org/web/20210507040418/http://sbml.org/Facilities/Documentation/Validator_Web_API", "type": [ "API documentation" ], "note": null } ], "publication": [], "credit": [ { "name": "Frank Bergmann", "email": null, "url": "https://www.biocatalogue.org", "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Project", "typeRole": [ "Documentor" ], "note": null }, { "name": "Frank Bergmann", "email": "frank.bergmann@bioquant.uni-heidelberg.de", "url": null, "orcidid": "https://orcid.org/0000-0001-5553-4702", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "frankbergmann", "additionDate": "2015-08-03T09:36:21Z", "lastUpdate": "2025-07-07T11:10:03.422874Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null } ] }