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GET /api/t/?format=api&output=%22Sequence+alignment%22
{ "count": 232, "next": "?page=2", "previous": null, "list": [ { "name": "nallo", "description": "Nallo is a bioinformatics analysis pipeline for long-reads from both PacBio and (targeted) ONT-data, focused on rare-disease. The pipeline detects a wide range of genetic variants, performs genome assembly,\nand reports CpG methylation. 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Furthermore, advanced options, such as protein pocket detection (DoGSite), prediction of water molecule positions (WarPP), protein structure ensemble generation (SIENA), prediction of metal coordination (METALizer), the analysis of solvent channels in protein crystals (LifeSoaks), or the categorization of protein-protein-interfaces (HyPPI) are supported.", "homepage": "https://proteins.plus", "biotoolsID": "proteinsplus", "biotoolsCURIE": "biotools:proteinsplus", "version": [], "otherID": [], "relation": [ { "biotoolsID": "dogsitescorer", "type": "includes" }, { "biotoolsID": "dogsite3", "type": "includes" }, { "biotoolsID": "edia", "type": "includes" }, { "biotoolsID": "siena", "type": "includes" }, { "biotoolsID": "metalizer", "type": "includes" }, { "biotoolsID": "structureprofiler", "type": "includes" }, { "biotoolsID": "jamda", "type": "includes" }, { "biotoolsID": "geomine", "type": "includes" }, { "biotoolsID": "microminer", "type": "includes" }, { "biotoolsID": "poseedit", 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"term": "Small molecule structure" }, "format": [ { "uri": "http://edamontology.org/format_3814", "term": "SDF" } ] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_1460", "term": "Protein structure" }, "format": [ { "uri": "http://edamontology.org/format_1476", "term": "PDB" } ] }, { "data": { "uri": "http://edamontology.org/data_1461", "term": "Protein-ligand complex" }, "format": [ { "uri": "http://edamontology.org/format_1476", "term": "PDB" }, { "uri": "http://edamontology.org/format_3814", "term": "SDF" } ] }, { "data": { "uri": "http://edamontology.org/data_1463", "term": "Small molecule structure" }, "format": [ { "uri": "http://edamontology.org/format_3814", "term": "SDF" } ] } ], "note": "prediction of protonation states and tautomers and placement of hydrogen atoms", "cmd": null }, { "operation": [ { "uri": "http://edamontology.org/operation_0321", "term": "Protein structure validation" }, { "uri": "http://edamontology.org/operation_2406", "term": "Protein 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Pangenomes may be represented as graphical structures, e.g. compacted colored de Bruijn graphs, which offer a low memory usage and facilitate reference-free sequence comparisons. While sequence-to-graph mapping to graphical pangenomes has been studied for some time, no local alignment search tool in the vein of BLAST has been proposed yet. Results: We present a new heuristic method to find maximum scoring local alignments of a DNA query sequence to a pangenome represented as a compacted colored de Bruijn graph. Our approach additionally allows a comparison of similarity among sequences within the pangenome. We show that local alignment scores follow an exponential-tail distribution similar to BLAST scores, and we discuss how to estimate its parameters to separate local alignments representing sequence homology from spurious findings. An implementation of our method is presented, and its performance and usability are shown. 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The referred database release 111 (July 2012) contains 3194 778 small subunit and 288717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches. © The Author(s) 2012.", "date": "2013-01-01T00:00:00Z", "citationCount": 22633, "authors": [ { "name": "Quast C." }, { "name": "Pruesse E." }, { "name": "Yilmaz P." }, { "name": "Gerken J." }, { "name": "Schweer T." }, { "name": "Yarza P." }, { "name": "Peplies J." }, { "name": "Glockner F.O." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/nar/gkt1209", "pmid": "24293649", "pmcid": "PMC3965112", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "The SILVA and \"all-species Living Tree Project (LTP)\" taxonomic frameworks", "abstract": "SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive resource for up-to-date quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. SILVA provides a manually curated taxonomy for all three domains of life, based on representative phylogenetic trees for the small- and large-subunit rRNA genes. This article describes the improvements the SILVA taxonomy has undergone in the last 3 years. Specifically we are focusing on the curation process, the various resources used for curation and the comparison of the SILVA taxonomy with Greengenes and RDP-II taxonomies. Our comparisons not only revealed a reasonable overlap between the taxa names, but also points to significant differences in both names and numbers of taxa between the three resources. © 2013 The Author(s). Published by Oxford University Press.", "date": "2014-01-01T00:00:00Z", "citationCount": 2590, "authors": [ { "name": "Yilmaz P." }, { "name": "Parfrey L.W." }, { "name": "Yarza P." }, { "name": "Gerken J." }, { "name": "Pruesse E." }, { "name": "Quast C." }, { "name": "Schweer T." }, { "name": "Peplies J." }, { "name": "Ludwig W." }, { "name": "Glockner F.O." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/nar/gkm864", "pmid": "17947321", "pmcid": "PMC2175337", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "SILVA: A comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB", "abstract": "Sequencing ribosomal RNA (rRNA) genes is currently the method of choice for phylogenetic reconstruction, nucleic acid based detection and quantification of microbial diversity. The ARB software suite with its corresponding rRNA datasets has been accepted by researchers worldwide as a standard tool for large scale rRNA analysis. However, the rapid increase of publicly available rRNA sequence data has recently hampered the maintenance of comprehensive and curated rRNA knowledge databases. A new system, SILVA (from Latin silva, forest), was implemented to provide a central comprehensive web resource for up to date, quality controlled databases of aligned rRNA sequences from the Bacteria, Archaea and Eukarya domains. All sequences are checked for anomalies, carry a rich set of sequence associated contextual information, have multiple taxonomic classifications, and the latest validly described nomenclature. Furthermore, two precompiled sequence datasets compatible with ARB are offered for download on the SILVA website: (i) the reference (Ref) datasets, comprising only high quality, nearly full length sequences suitable for in-depth phylogenetic analysis and probe design and (ii) the comprehensive Parc datasets with all publicly available rRNA sequences longer than 300 nucleotides suitable for biodiversity analyses. The latest publicly available database release 91 (August 2007) hosts 547 521 sequences split into 461 823 small subunit and 85 689 large subunit rRNAs. © 2007 The Author(s).", "date": "2007-12-01T00:00:00Z", "citationCount": 5291, "authors": [ { "name": "Pruesse E." }, { "name": "Quast C." }, { "name": "Knittel K." }, { "name": "Fuchs B.M." }, { "name": "Ludwig W." }, { "name": "Peplies J." }, { "name": "Glockner F.O." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/bioinformatics/bts252", "pmid": "22556368", "pmcid": "PMC3389763", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "SINA: Accurate high-throughput multiple sequence alignment of ribosomal RNA genes", "abstract": "Motivation: In the analysis of homologous sequences, computation of multiple sequence alignments (MSAs) has become a bottleneck. This is especially troublesome for marker genes like the ribosomal RNA (rRNA) where already millions of sequences are publicly available and individual studies can easily produce hundreds of thousands of new sequences. Methods have been developed to cope with such numbers, but further improvements are needed to meet accuracy requirements.Results: In this study, we present the SILVA Incremental Aligner (SINA) used to align the rRNA gene databases provided by the SILVA ribosomal RNA project. SINA uses a combination of k-mer searching and partial order alignment (POA) to maintain very high alignment accuracy while satisfying high throughput performance demands. SINA was evaluated in comparison with the commonly used high throughput MSA programs PyNAST and mothur. The three BRAliBase III benchmark MSAs could be reproduced with 99.3, 97.6 and 96.1 accuracy. A larger benchmark MSA comprising 38 772 sequences could be reproduced with 98.9 and 99.3% accuracy using reference MSAs comprising 1000 and 5000 sequences. SINA was able to achieve higher accuracy than PyNAST and mothur in all performed benchmarks. © The Author(s) 2012. Published by Oxford University Press.", "date": "2012-07-01T00:00:00Z", "citationCount": 2408, "authors": [ { "name": "Pruesse E." }, { "name": "Peplies J." }, { "name": "Glockner F.O." } ], "journal": "Bioinformatics" } }, { "doi": "10.1016/j.jbiotec.2017.06.1198", "pmid": "28648396", "pmcid": null, "type": [ "Review" ], "version": null, "note": null, "metadata": { "title": "25 years of serving the community with ribosomal RNA gene reference databases and tools", "abstract": "SILVA (lat. forest) is a comprehensive web resource, providing services around up to date, high-quality datasets of aligned ribosomal RNA gene (rDNA) sequences from the Bacteria, Archaea, and Eukaryota domains. SILVA dates back to the year 1991 when Dr. Wolfgang Ludwig from the Technical University Munich started the integrated software workbench ARB (lat. tree) to support high-quality phylogenetic inference and taxonomy based on the SSU and LSU rDNA marker genes. At that time, the ARB project maintained both, the sequence reference datasets and the software package for data analysis. In 2005, with the massive increase of DNA sequence data, the maintenance of the software system ARB and the corresponding rRNA databases SILVA was split between Munich and the Microbial Genomics and Bioinformatics Research Group in Bremen. ARB has been continuously developed to include new features and improve the usability of the workbench. Thousands of users worldwide appreciate the seamless integration of common analysis tools under a central graphical user interface, in combination with its versatility. The first SILVA release was deployed in February 2007 based on the EMBL-EBI/ENA release 89. Since then, full SILVA releases offering the database content in various flavours are published at least annually, complemented by intermediate web-releases where only the SILVA web dataset is updated. SILVA is the only rDNA database project worldwide where special emphasis is given to the consistent naming of clades of uncultivated (environmental) sequences, where no validly described cultivated representatives are available. Also exclusive for SILVA is the maintenance of both comprehensive aligned 16S/18S rDNA and 23S/28S rDNA sequence datasets. Furthermore, the SILVA alignments and trees were designed to include Eukaryota, another unique feature among rDNA databases. With the termination of the European Ribosomal RNA Database Project in 2007, the SILVA database has become the authoritative rDNA database project for Europe. The application spectrum of ARB and SILVA ranges from biodiversity analysis, medical diagnostics, to biotechnology and quality control for academia and industry.", "date": "2017-11-10T00:00:00Z", "citationCount": 635, "authors": [ { "name": "Glockner F.O." }, { "name": "Yilmaz P." }, { "name": "Quast C." }, { "name": "Gerken J." }, { "name": "Beccati A." }, { "name": "Ciuprina A." }, { "name": "Bruns G." }, { "name": "Yarza P." }, { "name": "Peplies J." }, { "name": "Westram R." }, { "name": "Ludwig W." } ], "journal": "Journal of Biotechnology" } }, { "doi": "10.1186/s12859-017-1841-3", "pmid": null, "pmcid": null, "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "SILVA tree viewer: Interactive web browsing of the SILVA phylogenetic guide trees", "abstract": "Background: Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. Results: The SILVA Tree Viewer is a web application designed for visualizing large phylogenetic trees without requiring the download of any software tool or data files. The SILVA Tree Viewer is based on Web Geographic Information Systems (Web-GIS) technology with a PostgreSQL backend. It enables zoom and pan functionalities similar to Google Maps. The SILVA Tree Viewer enables access to two phylogenetic (guide) trees provided by the SILVA database: the SSU Ref NR99 inferred from high-quality, full-length small subunit sequences, clustered at 99% sequence identity and the LSU Ref inferred from high-quality, full-length large subunit sequences. Conclusions: The Tree Viewer provides tree navigation, search and browse tools as well as an interactive feedback system to collect any kinds of requests ranging from taxonomy to data curation and improving the tool itself.", "date": "2017-09-30T00:00:00Z", "citationCount": 29, "authors": [ { "name": "Beccati A." }, { "name": "Gerken J." }, { "name": "Quast C." }, { "name": "Yilmaz P." }, { "name": "Glockner F.O." } ], "journal": "BMC Bioinformatics" } } ], "credit": [ { "name": "Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures", "email": "hub@dsmz.de", "url": "https://www.dsmz.de", "orcidid": null, "gridid": "grid.420081.f", "rorid": "02tyer376", "fundrefid": null, "typeEntity": "Institute", "typeRole": [ "Provider" ], "note": null }, { "name": "SILVA Team", "email": "contact@arb-silva.de", "url": "https://www.arb-silva.de/contact/team/", "orcidid": null, "gridid": "grid.507782.f", "rorid": "027z9pz32", "fundrefid": null, "typeEntity": "Division", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "silva", "additionDate": "2016-09-30T15:59:05Z", "lastUpdate": "2025-06-30T13:26:42.882897Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": "tool" }, { "name": "Zoonomia", "description": "The Zoonomia Project provides access to genomic data including assemblies, annotations and alignments for 240 mammalian species.", "homepage": "https://zoonomiaproject.org/", "biotoolsID": "zoonomiaproject", "biotoolsCURIE": "biotools:zoonomiaproject", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2422", "term": "Data retrieval" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_2909", "term": "Organism name" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_1045", "term": "Species name" }, "format": [] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_1383", "term": "Nucleic acid sequence alignment" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_3002", "term": "Annotation track" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_0925", "term": "Sequence assembly" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_3050", "term": "Biodiversity" } ], "operatingSystem": [], "language": [], "license": null, "collectionID": [], "maturity": "Mature", "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [], "publication": [], "credit": [], "owner": "adriaan", "additionDate": "2025-06-16T13:44:36.983992Z", "lastUpdate": "2025-06-16T13:51:19.876113Z", "editPermission": { "type": "private", "authors": [] }, "validated": 0, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "MuGVRE", "description": "The MuG Virtual Research Environment is an analysis platform for 3D/4D genomics analyses. 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"term": "Gene symbol" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_1027", "term": "Gene ID (NCBI)" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_2299", "term": "Gene name" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_3494", "term": "DNA sequence" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_3297", "term": "Biotechnology" }, { "uri": "http://edamontology.org/topic_3301", "term": "Microbiology" }, { "uri": "http://edamontology.org/topic_0821", "term": "Enzymes" } ], "operatingSystem": [], "language": [], "license": null, "collectionID": [], "maturity": "Mature", "cost": "Free of charge", "accessibility": "Open access", "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [], "publication": [ { "doi": "10.1093/database/bav033", "pmid": null, "pmcid": null, "type": [ "Primary" ], "version": null, "note": null, "metadata": { "title": "BioSurfDB: Knowledge and algorithms to support biosurfactants and biodegradation studies", "abstract": "Crude oil extraction, transportation and use provoke the contamination of countless ecosystems. Therefore, bioremediation through surfactants mobilization or biodegradation is an important subject, both economically and environmentally. Bioremediation research had a great boost with the recent advances in Metagenomics, as it enabled the sequencing of uncultured microorganisms providing new insights on surfactant-producing and/or oil-degrading bacteria. Many research studies are making available genomic data from unknown organisms obtained from metagenomics analysis of oil-contaminated environmental samples. These new datasets are presently demanding the development of new tools and data repositories tailored for the biological analysis in a context of bioremediation data analysis. This work presents BioSurfDB, www.biosurfdb.org, a curated relational information system integrating data from: (i) metagenomes; (ii) organisms; (iii) biodegradation relevant genes; proteins and their metabolic pathways; (iv) bioremediation experiments results, with specific pollutants treatment efficiencies by surfactant producing organisms; and (v) a biosurfactant-curated list, grouped by producing organism, surfactant name, class and reference. The main goal of this repository is to gather information on the characterization of biological compounds and mechanisms involved in biosurfactant production and/or biodegradation and make it available in a curated way and associated with a number of computational tools to support studies of genomic and metagenomic data.", "date": "2015-01-01T00:00:00Z", "citationCount": 30, "authors": [ { "name": "Oliveira J.S." }, { "name": "Araujo W." }, { "name": "Sales A.I.L." }, { "name": "De Brito Guerra A." }, { "name": "Da Silva Araujo S.C." }, { "name": "De Vasconcelos A.T.R." }, { "name": "Agnez-Lima L.F." }, { "name": "Freitas A.T." } ], "journal": "Database" } } ], "credit": [ { "name": "Jorge S. 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Each of these steps requires a separate computational task and sets of tools. Currently in order to relate protein features and gene neighborhoods information to phylogeny, researchers need to prepare all the necessary data and combine them by hand, which is time-consuming and error-prone. Here, we present a new platform, TREND (tree-based exploration of neighborhoods and domains), which can perform all the necessary steps in automated fashion and put the derived information into phylogenomic context, thus making evolutionary based protein function analysis more efficient. A rich set of adjustable components allows a user to run the computational steps specific to his task. TREND is freely available at http://trend.zhulinlab.org.", "date": "2021-01-01T00:00:00Z", "citationCount": 33, "authors": [ { "name": "Gumerov V.M." }, { "name": "Zhulin I.B." } ], "journal": "Nucleic Acids Research" } }, { "doi": "10.1093/nar/gkac034", "pmid": "35100406", "pmcid": "PMC8860576", "type": [ "Other" ], "version": null, "note": "Can be also accessed at this URL: https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac034/6517937", "metadata": { "title": "Erratum: TREND: A platform for exploring protein function in prokaryotes based on phylogenetic, domain architecture and gene neighborhood analyses (Nucleic Acids Research DOI: 10.1093/nar/gkaa243)", "abstract": "TheURL address of the web server published in this article has been changed fromhttp://trend.zhulinlab.org to http://trend. evobionet.com/.", "date": "2022-02-22T00:00:00Z", "citationCount": 6, "authors": [ { "name": "Gumerov V.M." }, { "name": "Zhulin I.B." } ], "journal": "Nucleic Acids Research" } } ], "credit": [ { "name": "Vadim Gumerov", "email": "gumerov.1@osu.edu", "url": null, "orcidid": "https://orcid.org/0000-0003-1670-7679", "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": null, "typeRole": [], "note": null } ], "owner": "vadim", "additionDate": "2020-11-09T21:38:53Z", "lastUpdate": "2024-12-17T20:42:49.942166Z", "editPermission": { "type": "private", "authors": [] }, "validated": 0, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "msa", "description": "Display multiple-sequence alignment. 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"General" ], "note": "A Github wiki" } ], "publication": [ { "doi": "10.1038/s41592-018-0002-6", "pmid": "29713081", "pmcid": "PMC5990454", "type": [], "version": null, "note": null, "metadata": { "title": "Picky comprehensively detects high-resolution structural variants in nanopore long reads", "abstract": "Acquired genomic structural variants (SVs) are major hallmarks of cancer genomes, but they are challenging to reconstruct from short-read sequencing data. Here we exploited the long reads of the nanopore platform using our customized pipeline, Picky (https://github.com/TheJacksonLaboratory/Picky) to reveal SVs of diverse architecture in a breast cancer model. We identified the full spectrum of SVs with superior specificity and sensitivity relative to short-read analyses, and uncovered repetitive DNA as the major source of variation. Examination of genome-wide breakpoints at nucleotide resolution uncovered micro-insertions as the common structural features associated with SVs. Breakpoint density across the genome is associated with the propensity for interchromosomal connectivity and was found to be enriched in promoters and transcribed regions of the genome. Furthermore, we observed an over-representation of reciprocal translocations from chromosomal double-crossovers through phased SVs. We demonstrate that Picky analysis is an effective tool for comprehensive detection of SVs in cancer genomes from long-read data.", "date": "2018-06-01T00:00:00Z", "citationCount": 70, "authors": [ { "name": "Gong L." }, { "name": "Wong C.-H." }, { "name": "Cheng W.-C." }, { "name": "Tjong H." }, { "name": "Menghi F." }, { "name": "Ngan C.Y." }, { "name": "Liu E.T." }, { "name": "Wei C.-L." } ], "journal": "Nature Methods" } } ], "credit": [ { "name": "Chia-Lin Wei", "email": null, "url": "https://www.nature.com/articles/s41592-018-0002-6/email/correspondent/c1/new", "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "ELIXIR-EE", "additionDate": "2018-05-15T16:14:12Z", "lastUpdate": "2024-11-25T14:49:38.684177Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "cellAlign", "description": "A method for comparing expression dynamics within and between single-cell differentiation trajectories.", "homepage": "https://github.com/shenorrLab/cellAlign", "biotoolsID": "cellalign", "biotoolsCURIE": "biotools:cellalign", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_3439", "term": "Pathway or network prediction" }, { "uri": "http://edamontology.org/operation_3223", "term": "Differential gene expression analysis" }, { "uri": "http://edamontology.org/operation_0314", "term": "Gene expression profiling" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_3112", "term": "Gene expression matrix" }, "format": [ { "uri": "http://edamontology.org/format_3033", "term": "Matrix format" } ] }, { "data": { "uri": "http://edamontology.org/data_2337", "term": "Resource metadata" }, "format": [ { "uri": "http://edamontology.org/format_3326", "term": "Data index format" } ] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_0867", "term": "Sequence alignment report" }, "format": [ { "uri": "http://edamontology.org/format_2032", "term": "Workflow format" } ] } ], "note": null, "cmd": null } ], "toolType": [ "Plug-in" ], "topic": [ { "uri": "http://edamontology.org/topic_0203", "term": "Gene expression" }, { "uri": "http://edamontology.org/topic_2229", "term": "Cell biology" }, { "uri": "http://edamontology.org/topic_3064", "term": "Developmental biology" } ], "operatingSystem": [ "Windows" ], "language": [ "R" ], "license": "Other", "collectionID": [], "maturity": "Mature", "cost": "Free of charge", "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [ { "url": "https://github.com/shenorrLab/cellAlign", "type": "Software package", "note": null, "version": null } ], "documentation": [ { "url": "https://github.com/shenorrLab/cellAlign", "type": [ "General" ], "note": null } ], "publication": [ { "doi": "10.1038/nmeth.4628", "pmid": "29529018", "pmcid": null, "type": [], "version": null, "note": null, "metadata": { "title": "Alignment of single-cell trajectories to compare cellular expression dynamics", "abstract": "Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.", "date": "2018-04-03T00:00:00Z", "citationCount": 55, "authors": [ { "name": "Alpert A." }, { "name": "Moore L.S." }, { "name": "Dubovik T." }, { "name": "Shen-Orr S.S." } ], "journal": "Nature Methods" } } ], "credit": [ { "name": "Ayelet Alpert", "email": null, "url": "https://www.linkedin.com/in/ayelet-alpert-5a525167/", "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "ELIXIR-EE", "additionDate": "2018-05-29T14:26:15Z", "lastUpdate": "2024-11-25T14:35:34.209960Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "Biostrings", "description": "Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.", "homepage": "http://bioconductor.org/packages/release/bioc/html/Biostrings.html", "biotoolsID": "biostrings", "biotoolsCURIE": "biotools:biostrings", "version": [ "2.42.1" ], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_1812", "term": "Loading" }, { "uri": "http://edamontology.org/operation_2403", "term": "Sequence analysis" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_3115", "term": "Microarray metadata" }, "format": [ { "uri": "http://edamontology.org/format_2061", "term": "Nucleic acid features (primers) format" }, { "uri": "http://edamontology.org/format_2554", "term": "Alignment format (text)" }, { "uri": "http://edamontology.org/format_1919", "term": "Sequence record format" } ] }, { "data": { "uri": "http://edamontology.org/data_0849", "term": "Sequence record" }, "format": [ { "uri": "http://edamontology.org/format_2061", "term": "Nucleic acid features (primers) format" }, { "uri": "http://edamontology.org/format_2554", "term": "Alignment format (text)" }, { "uri": "http://edamontology.org/format_1919", "term": "Sequence record format" } ] }, { "data": { "uri": "http://edamontology.org/data_0863", "term": "Sequence alignment" }, "format": [ { "uri": "http://edamontology.org/format_2061", "term": "Nucleic acid features (primers) format" }, { "uri": "http://edamontology.org/format_2554", "term": "Alignment format (text)" }, { "uri": "http://edamontology.org/format_1919", "term": "Sequence record format" } ] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_3115", "term": "Microarray metadata" }, "format": [ { "uri": "http://edamontology.org/format_2330", "term": "Textual format" } ] }, { "data": { "uri": "http://edamontology.org/data_0849", "term": "Sequence record" }, "format": [ { "uri": "http://edamontology.org/format_2330", "term": "Textual format" } ] }, { "data": { "uri": "http://edamontology.org/data_0863", "term": "Sequence alignment" }, "format": [ { "uri": "http://edamontology.org/format_2330", "term": "Textual format" } ] } ], "note": null, "cmd": null } ], "toolType": [ "Command-line tool", "Library" ], "topic": [ { "uri": "http://edamontology.org/topic_0080", "term": "Sequence analysis" }, { "uri": "http://edamontology.org/topic_3071", "term": "Data management" } ], "operatingSystem": [ "Linux", "Windows", "Mac" ], "language": [ "R" ], "license": "Artistic-2.0", "collectionID": [ "BioConductor" ], "maturity": null, "cost": "Free of charge", "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [ { "url": "http://bioconductor/packages/release/bioc/src/contrib/Biostrings_2.42.1.tar.gz", "type": "Source code", "note": null, "version": null } ], "documentation": [ { "url": "http://bioconductor.org/packages/release/bioc/html/Biostrings.html", "type": [ "User manual" ], "note": null } ], "publication": [ { "doi": "10.1038/nmeth.3252", "pmid": "25633503", "pmcid": "PMC4509590", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "Orchestrating high-throughput genomic analysis with Bioconductor", "abstract": "Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors.", "date": "2015-01-01T00:00:00Z", "citationCount": 2315, "authors": [ { "name": "Huber W." }, { "name": "Carey V.J." }, { "name": "Gentleman R." }, { "name": "Anders S." }, { "name": "Carlson M." }, { "name": "Carvalho B.S." }, { "name": "Bravo H.C." }, { "name": "Davis S." }, { "name": "Gatto L." }, { "name": "Girke T." }, { "name": "Gottardo R." }, { "name": "Hahne F." }, { "name": "Hansen K.D." }, { "name": "Irizarry R.A." }, { "name": "Lawrence M." }, { "name": "Love M.I." }, { "name": "MaCdonald J." }, { "name": "Obenchain V." }, { "name": "Oles A.K." }, { "name": "Pages H." }, { "name": "Reyes A." }, { "name": "Shannon P." }, { "name": "Smyth G.K." }, { "name": "Tenenbaum D." }, { "name": "Waldron L." }, { "name": "Morgan M." } ], "journal": "Nature Methods" } } ], "credit": [ { "name": "H. Pagès", "email": "hpages@fredhutch.org", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "bioconductor_import", "additionDate": "2017-01-17T14:57:29Z", "lastUpdate": "2024-11-25T14:35:14.288041Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "Phymyco-DB", "description": "A database designed to help the mycologist community to access to fungal DNA markers data for phylogenetic analyses.", "homepage": "http://phymycodb.genouest.org/", "biotoolsID": "phymyco-db", "biotoolsCURIE": "biotools:phymyco-db", "version": [], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_2928", "term": "Alignment" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_2977", "term": "Nucleic acid sequence" }, "format": [ { "uri": "http://edamontology.org/format_1929", "term": "FASTA" } ] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_0863", "term": "Sequence alignment" }, "format": [ { "uri": "http://edamontology.org/format_2330", "term": "Textual format" } ] } ], "note": "Sequence alignment", "cmd": null } ], "toolType": [ "Database portal" ], "topic": [ { "uri": "http://edamontology.org/topic_0623", "term": "Gene and protein families" } ], "operatingSystem": [ "Linux", "Windows", "Mac" ], "language": [], "license": null, "collectionID": [], "maturity": null, "cost": "Free of charge", "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [ { "url": "http://phymycodb.genouest.org/", "type": [ "General" ], "note": null } ], "publication": [ { "doi": "10.1371/journal.pone.0043117", "pmid": "23028445", "pmcid": "PMC3441585", "type": [ "Primary" ], "version": null, "note": null, "metadata": { "title": "PHYMYCO-DB: A Curated Database for Analyses of Fungal Diversity and Evolution", "abstract": "Background: In environmental sequencing studies, fungi can be identified based on nucleic acid sequences, using either highly variable sequences as species barcodes or conserved sequences containing a high-quality phylogenetic signal. For the latter, identification relies on phylogenetic analyses and the adoption of the phylogenetic species concept. Such analysis requires that the reference sequences are well identified and deposited in public-access databases. However, many entries in the public sequence databases are problematic in terms of quality and reliability and these data require screening to ensure correct phylogenetic interpretation. Methods and Principal Findings: To facilitate phylogenetic inferences and phylogenetic assignment, we introduce a fungal sequence database. The database PHYMYCO-DB comprises fungal sequences from GenBank that have been filtered to satisfy stringent sequence quality criteria. For the first release, two widely used molecular taxonomic markers were chosen: the nuclear SSU rRNA and EF1-α gene sequences. Following the automatic extraction and filtration, a manual curation is performed to remove problematic sequences while preserving relevant sequences useful for phylogenetic studies. As a result of curation, ~20% of the automatically filtered sequences have been removed from the database. To demonstrate how PHYMYCO-DB can be employed, we test a set of environmental Chytridiomycota sequences obtained from deep sea samples. Conclusion: PHYMYCO-DB offers the tools necessary to: (i) extract high quality fungal sequences for each of the 5 fungal phyla, at all taxonomic levels, (ii) extract already performed alignments, to act as 'reference alignments', (iii) launch alignments of personal sequences along with stored data. A total of 9120 SSU rRNA and 672 EF1-α high-quality fungal sequences are now available. The PHYMYCO-DB is accessible through the URL http://phymycodb.genouest.org. © 2012 Mahé et al.", "date": "2012-09-13T00:00:00Z", "citationCount": 37, "authors": [ { "name": "Mahe S." }, { "name": "Duhamel M." }, { "name": "Le Calvez T." }, { "name": "Guillot L." }, { "name": "Sarbu L." }, { "name": "Bretaudeau A." }, { "name": "Collin O." }, { "name": "Dufresne A." }, { "name": "Kiers E.T." }, { "name": "Vandenkoornhuyse P." } ], "journal": "PLoS ONE" } } ], "credit": [ { "name": "GenOuest", "email": null, "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Institute", "typeRole": [ "Provider" ], "note": null }, { "name": "GenOuest", "email": "support@genouest.org", "url": null, "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "GenOuest", "additionDate": "2015-01-21T15:12:26Z", "lastUpdate": "2024-11-25T14:25:53.229148Z", "editPermission": { "type": "group", "authors": [ "olivier.collin@irisa.fr" ] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null }, { "name": "Ensembl Genomes Fungi sequence search", "description": "Searches Ensembl Fungi sequences using Exonerate.", "homepage": "http://fungi.ensembl.org/Multi/enasearch", "biotoolsID": "ensembl_genomes_fungi_sequence_search", "biotoolsCURIE": "biotools:ensembl_genomes_fungi_sequence_search", "version": [ "1" ], "otherID": [], "relation": [], "function": [ { "operation": [ { "uri": "http://edamontology.org/operation_0346", "term": "Sequence similarity search" } ], "input": [ { "data": { "uri": "http://edamontology.org/data_2044", "term": "Sequence" }, "format": [ { "uri": "http://edamontology.org/format_1929", "term": "FASTA" } ] } ], "output": [ { "data": { "uri": "http://edamontology.org/data_0863", "term": "Sequence alignment" }, "format": [] }, { "data": { "uri": "http://edamontology.org/data_0857", "term": "Sequence search results" }, "format": [] } ], "note": null, "cmd": null } ], "toolType": [ "Web application" ], "topic": [ { "uri": "http://edamontology.org/topic_0080", "term": "Sequence analysis" } ], "operatingSystem": [ "Linux", "Windows", "Mac" ], "language": [], "license": null, "collectionID": [ "Ensembl Tools", "Ensembl Genomes", "EBI Tools" ], "maturity": null, "cost": null, "accessibility": null, "elixirPlatform": [], "elixirNode": [], "elixirCommunity": [], "link": [], "download": [], "documentation": [ { "url": "http://www.ebi.ac.uk/about/terms-of-use", "type": [ "Terms of use" ], "note": null }, { "url": "http://fungi.ensembl.org/info/website/help/index.html", "type": [ "General" ], "note": null } ], "publication": [ { "doi": "10.1093/nar/gkv1157", "pmid": "26687719", "pmcid": "PMC4702834", "type": [ "Other" ], "version": null, "note": null, "metadata": { "title": "Ensembl 2016", "abstract": "The Ensembl project (http://www.ensembl.org) is a system for genome annotation, analysis, storage and dissemination designed to facilitate the access of genomic annotation from chordates and key model organisms. 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JABAWS:MSA provides services for five multiple sequence alignment (MSA) methods (Probcons, T-coffee, Muscle, Mafft and ClustalW), and is the system employed by the Jalview multiple sequence analysis workbench since version 2.6. A fully functional, easy to set up server is provided as a Virtual Appliance (VA), which can be run on most operating systems that support a virtualization environment such as VMware or Oracle VirtualBox. JABAWS is also distributed as a Web Application aRchive (WAR) and can be configured to run on a single computer and/or a cluster managed by Grid Engine, LSF or other queuing systems that support DRMAA. JABAWS:MSA provides clients full access to each application's parameters, allows administrators to specify named parameter preset combinations and execution limits for each application through simple configuration files. The JABAWS command-line client allows integration of JABAWS services into conventional scripts. © The Author(s) 2011. Published by Oxford University Press.", "date": "2011-07-01T00:00:00Z", "citationCount": 96, "authors": [ { "name": "Troshin P.V." }, { "name": "Procter J.B." }, { "name": "Barton G.J." } ], "journal": "Bioinformatics" } } ], "credit": [ { "name": "BioCatalogue", "email": null, "url": "https://www.biocatalogue.org", "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Project", "typeRole": [ "Documentor" ], "note": null }, { "name": null, "email": null, "url": "http://www.compbio.dundee.ac.uk/jabaws/contacts.html", "orcidid": null, "gridid": null, "rorid": null, "fundrefid": null, "typeEntity": "Person", "typeRole": [ "Primary contact" ], "note": null } ], "owner": "BioCatalogue", "additionDate": "2015-08-03T09:36:06Z", "lastUpdate": "2024-11-25T14:17:59.498371Z", "editPermission": { "type": "private", "authors": [] }, "validated": 1, "homepage_status": 0, "elixir_badge": 0, "confidence_flag": null } ] }