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        {
            "name": "NaviKey",
            "description": "NaviKey is a tool for querying descriptive data and has been implemented as (a) a Java applet providing the contents of DELTA files (see example with the DELTA sample data files), (b) a stand-alone Java application for accessing DELTA files or PostgreSQL versions of DiversityDescriptions databases, respectively (c) a module (\"plug-in\") of the Java-based Diversity Navigator database client for accessing DELTA files or PostgreSQL versions of DiversityDescriptions databases, respectively.",
            "homepage": "http://www.navikey.net/",
            "biotoolsID": "NaviKey",
            "biotoolsCURIE": "biotools:NaviKey",
            "version": [],
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            "relation": [],
            "function": [
                {
                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_2945",
                            "term": "Analysis"
                        },
                        {
                            "uri": "http://edamontology.org/operation_2409",
                            "term": "Data handling"
                        }
                    ],
                    "input": [
                        {
                            "data": {
                                "uri": "http://edamontology.org/data_2526",
                                "term": "Text data"
                            },
                            "format": [
                                {
                                    "uri": "http://edamontology.org/format_2332",
                                    "term": "XML"
                                },
                                {
                                    "uri": "http://edamontology.org/format_2330",
                                    "term": "Textual format"
                                }
                            ]
                        }
                    ],
                    "output": [
                        {
                            "data": {
                                "uri": "http://edamontology.org/data_2080",
                                "term": "Database search results"
                            },
                            "format": [
                                {
                                    "uri": "http://edamontology.org/format_2331",
                                    "term": "HTML"
                                },
                                {
                                    "uri": "http://edamontology.org/format_2330",
                                    "term": "Textual format"
                                }
                            ]
                        }
                    ],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Web application",
                "Desktop application"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_3070",
                    "term": "Biology"
                },
                {
                    "uri": "http://edamontology.org/topic_3071",
                    "term": "Data management"
                }
            ],
            "operatingSystem": [
                "Linux",
                "Windows",
                "Mac"
            ],
            "language": [
                "Java"
            ],
            "license": "GPL-2.0",
            "collectionID": [],
            "maturity": "Mature",
            "cost": "Free of charge",
            "accessibility": "Open access",
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            "link": [
                {
                    "url": "http://www.navikey.net/",
                    "type": [
                        "Other"
                    ],
                    "note": null
                },
                {
                    "url": "http://www.navikey.net/webprojects.html",
                    "type": [
                        "Other"
                    ],
                    "note": "Web Projects with NaviKey in Service. Keep in mind that Java is no longer supported by recent browser versions"
                }
            ],
            "download": [
                {
                    "url": "http://www.navikey.net/",
                    "type": "Downloads page",
                    "note": null,
                    "version": null
                },
                {
                    "url": "http://www.navikey.net/",
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            ],
            "documentation": [
                {
                    "url": "http://www.navikey.net/",
                    "type": [
                        "Installation instructions"
                    ],
                    "note": null
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                {
                    "url": "http://www.navikey.net/DeltaSampleData/index.html",
                    "type": [
                        "Training material"
                    ],
                    "note": null
                },
                {
                    "url": "http://www.diversitynavigator.net/NaviKey.html",
                    "type": [
                        "API documentation"
                    ],
                    "note": null
                }
            ],
            "publication": [],
            "credit": [
                {
                    "name": "Universität Bayreuth, Department of Mycology",
                    "email": "navikey@snsb.de",
                    "url": "http://www.mycology.uni-bayreuth.de/mycology/index.php?lang=en",
                    "orcidid": null,
                    "gridid": null,
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                    "typeEntity": "Division",
                    "typeRole": [
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                        "Primary contact"
                    ],
                    "note": null
                },
                {
                    "name": "SNSB IT Center",
                    "email": "it-center@snsb.de",
                    "url": "http://www.snsb.info/",
                    "orcidid": null,
                    "gridid": null,
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                        "Provider",
                        "Contributor"
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                }
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        },
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            "name": "sORFs",
            "description": "Repository of small open reading frames identified by ribosome profiling in a database of over 3 million sORFs across 78 datasets from six species.",
            "homepage": "http://www.sorfs.org/",
            "biotoolsID": "sORFs",
            "biotoolsCURIE": "biotools:sORFs",
            "version": [],
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            "function": [
                {
                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_2422",
                            "term": "Data retrieval"
                        },
                        {
                            "uri": "http://edamontology.org/operation_2929",
                            "term": "Protein fragment weight comparison"
                        },
                        {
                            "uri": "http://edamontology.org/operation_3631",
                            "term": "Peptide identification"
                        }
                    ],
                    "input": [],
                    "output": [],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Web application",
                "Database portal"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_0154",
                    "term": "Small molecules"
                },
                {
                    "uri": "http://edamontology.org/topic_3512",
                    "term": "Gene transcripts"
                },
                {
                    "uri": "http://edamontology.org/topic_0659",
                    "term": "Functional, regulatory and non-coding RNA"
                }
            ],
            "operatingSystem": [
                "Linux",
                "Windows",
                "Mac"
            ],
            "language": [
                "PHP",
                "JavaScript",
                "SQL"
            ],
            "license": null,
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            "cost": "Free of charge",
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            "link": [
                {
                    "url": "http://www.sorfs.org/database",
                    "type": [
                        "Other"
                    ],
                    "note": "Default query interface"
                },
                {
                    "url": "http://www.sorfs.org/BioMart",
                    "type": [
                        "Other"
                    ],
                    "note": "BioMart query interface"
                }
            ],
            "download": [],
            "documentation": [
                {
                    "url": "http://www.sorfs.org/info",
                    "type": [
                        "General"
                    ],
                    "note": null
                },
                {
                    "url": "http://www.sorfs.org/defaultDB_manual",
                    "type": [
                        "User manual"
                    ],
                    "note": "Database manual"
                },
                {
                    "url": "http://www.sorfs.org/biomart_manual",
                    "type": [
                        "User manual"
                    ],
                    "note": "BioMart manual"
                }
            ],
            "publication": [
                {
                    "doi": "10.1093/nar/gkv1175",
                    "pmid": "26527729",
                    "pmcid": "PMC4702841",
                    "type": [
                        "Primary"
                    ],
                    "version": null,
                    "note": null,
                    "metadata": {
                        "title": "SORFs.org: A repository of small ORFs identified by ribosome profiling",
                        "abstract": "© The Author(s) 2015.With the advent of ribosome profiling, a next generation sequencing technique providing a \"snapshot\" of translated mRNA in a cell, many short open reading frames (sORFs) with ribosomal activity were identified. Follow-up studies revealed the existence of functional peptides, so-called micropeptides, translated from these 'sORFs', indicating a new class of bio-active peptides. Over the last few years, several micropeptides exhibiting important cellular functions were discovered. However, ribosome occupancy does not necessarily imply an actual function of the translated peptide, leading to the development of various tools assessing the coding potential of sORFs. Here, we introduce sORFs.org (http://www.sorfs.org), a novel database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating fromthree different cell lines: HCT116 (human), E14 mESC (mouse) and S2 (fruit fly). sORFs.org aims to provide an extensive sORFs database accessible to researchers with limited bioinformatics knowledge, thus enabling easy integration into personal projects.",
                        "date": "2016-01-01T00:00:00Z",
                        "citationCount": 69,
                        "authors": [
                            {
                                "name": "Olexiouk V."
                            },
                            {
                                "name": "Crappe J."
                            },
                            {
                                "name": "Verbruggen S."
                            },
                            {
                                "name": "Verhegen K."
                            },
                            {
                                "name": "Martens L."
                            },
                            {
                                "name": "Menschaert G."
                            }
                        ],
                        "journal": "Nucleic Acids Research"
                    }
                },
                {
                    "doi": "10.1093/nar/gkx1130",
                    "pmid": null,
                    "pmcid": null,
                    "type": [
                        "Primary"
                    ],
                    "version": null,
                    "note": null,
                    "metadata": {
                        "title": "An update on sORFs.org: A repository of small ORFs identified by ribosome profiling",
                        "abstract": "© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.sORFs.org (http://www.sorfs.org) is a public repository of small open reading frames (sORFs) identified by ribosome profiling (RIBO-seq). This update elaborates on the major improvements implemented since its initial release. sORFs.org now additionally supports three more species (zebrafish, rat and Caenorhabditis elegans) and currently includes 78 RIBO-seq datasets, a vast increase compared to the three that were processed in the initial release. Therefore, a novel pipeline was constructed that also enables sORF detection in RIBO-seq datasets comprising solely elongating RIBO-seq data while previously, matching initiating RIBO-seq data was necessary to delineate the sORFs. Furthermore, a novel noise filtering algorithm was designed, able to distinguish sORFs with true ribosomal activity from simulated noise, consequently reducing the false positive identification rate. The inclusion of other species also led to the development of an inner BLAST pipeline, assessing sequence similarity between sORFs in the repository. Building on the proof of concept model in the initial release of sORFs.org, a full PRIDE-ReSpin pipeline was now released, reprocessing publicly available MS-based proteomics PRIDE datasets, reporting on true translation events. Next to reporting those identified peptides, sORFs.org allows visual inspection of the annotated spectra within the Lorikeet MS/MS viewer, thus enabling detailed manual inspection and interpretation.",
                        "date": "2018-01-01T00:00:00Z",
                        "citationCount": 65,
                        "authors": [
                            {
                                "name": "Olexiouk V."
                            },
                            {
                                "name": "Van Criekinge W."
                            },
                            {
                                "name": "Menschaert G."
                            }
                        ],
                        "journal": "Nucleic Acids Research"
                    }
                }
            ],
            "credit": [
                {
                    "name": null,
                    "email": null,
                    "url": "http://www.sorfs.org/contact",
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                    "gridid": null,
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                    "typeRole": [
                        "Primary contact"
                    ],
                    "note": null
                }
            ],
            "community": null,
            "owner": "Ruta",
            "additionDate": "2019-06-24T07:12:54Z",
            "lastUpdate": "2021-12-08T20:11:09.295625Z",
            "editPermission": {
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                "authors": []
            },
            "validated": 1,
            "homepage_status": 0,
            "elixir_badge": 0,
            "confidence_flag": null
        },
        {
            "name": "PPB",
            "description": "PolyPharmacology Browser (PPB) - Web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data",
            "homepage": "http://gdbtools.unibe.ch:8080/PPB/",
            "biotoolsID": "PolyPharmacology_Browser",
            "biotoolsCURIE": "biotools:PolyPharmacology_Browser",
            "version": [],
            "otherID": [],
            "relation": [],
            "function": [
                {
                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_3501",
                            "term": "Enrichment analysis"
                        },
                        {
                            "uri": "http://edamontology.org/operation_2929",
                            "term": "Protein fragment weight comparison"
                        },
                        {
                            "uri": "http://edamontology.org/operation_2489",
                            "term": "Subcellular localisation prediction"
                        }
                    ],
                    "input": [],
                    "output": [],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Web application"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_0154",
                    "term": "Small molecules"
                },
                {
                    "uri": "http://edamontology.org/topic_3336",
                    "term": "Drug discovery"
                },
                {
                    "uri": "http://edamontology.org/topic_3377",
                    "term": "Safety sciences"
                }
            ],
            "operatingSystem": [
                "Linux",
                "Windows",
                "Mac"
            ],
            "language": [
                "JavaScript"
            ],
            "license": null,
            "collectionID": [],
            "maturity": "Mature",
            "cost": "Free of charge",
            "accessibility": "Open access",
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            "elixirCommunity": [],
            "link": [
                {
                    "url": "http://gdbtools.unibe.ch:8080/PPB/browser.html",
                    "type": [
                        "Other"
                    ],
                    "note": null
                }
            ],
            "download": [
                {
                    "url": "http://gdbtools.unibe.ch:8080/PPB/data.zip",
                    "type": "Source code",
                    "note": null,
                    "version": null
                }
            ],
            "documentation": [
                {
                    "url": "http://gdbtools.unibe.ch:8080/PPB/help.html",
                    "type": [
                        "General"
                    ],
                    "note": null
                }
            ],
            "publication": [
                {
                    "doi": "10.1186/s13321-017-0199-x",
                    "pmid": "28270862",
                    "pmcid": "PMC5319934",
                    "type": [
                        "Primary"
                    ],
                    "version": null,
                    "note": null,
                    "metadata": {
                        "title": "The polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data",
                        "abstract": "© 2017 The Author(s).Background: Several web-based tools have been reported recently which predict the possible targets of a small molecule by similarity to compounds of known bioactivity using molecular fingerprints (fps), however predictions in each case rely on similarities computed from only one or two fps. Considering that structural similarity and therefore the predicted targets strongly depend on the method used for comparison, it would be highly desirable to predict targets using a broader set of fps simultaneously. Results: Herein, we present the polypharmacology browser (PPB), a web-based platform which predicts possible targets for small molecules by searching for nearest neighbors using ten different fps describing composition, substructures, molecular shape and pharmacophores. PPB searches through 4613 groups of at least 10 same target annotated bioactive molecules from ChEMBL and returns a list of predicted targets ranked by consensus voting scheme and p value. A validation study across 670 drugs with up to 20 targets showed that combining the predictions from all 10 fps gives the best results, with on average 50% of the known targets of a drug being correctly predicted with a hit rate of 25%. Furthermore, when profiling a new inhibitor of the calcium channel TRPV6 against 24 targets taken from a safety screen panel, we observed inhibition in 5 out of 5 targets predicted by PPB and in 7 out of 18 targets not predicted by PPB. The rate of correct (5/12) and incorrect (0/12) predictions for this compound by PPB was comparable to that of other web-based prediction tools. Conclusion: PPB offers a versatile platform for target prediction based on multi-fingerprint comparisons, and is freely accessible at www.gdb.unibe.ch as a valuable support for drug discovery.",
                        "date": "2017-02-21T00:00:00Z",
                        "citationCount": 56,
                        "authors": [
                            {
                                "name": "Awale M."
                            },
                            {
                                "name": "Reymond J.-L."
                            }
                        ],
                        "journal": "Journal of Cheminformatics"
                    }
                }
            ],
            "credit": [
                {
                    "name": "Mahendra Awale",
                    "email": "awale@dcb.unibe.ch",
                    "url": null,
                    "orcidid": null,
                    "gridid": null,
                    "rorid": null,
                    "fundrefid": null,
                    "typeEntity": "Person",
                    "typeRole": [
                        "Primary contact"
                    ],
                    "note": null
                },
                {
                    "name": "Prof. Jean Louis Reymond",
                    "email": "jean-louis.reymond@dcb.unibe.ch",
                    "url": null,
                    "orcidid": null,
                    "gridid": null,
                    "rorid": null,
                    "fundrefid": null,
                    "typeEntity": "Person",
                    "typeRole": [
                        "Primary contact"
                    ],
                    "note": null
                }
            ],
            "community": null,
            "owner": "Ruta",
            "additionDate": "2019-06-23T17:12:18Z",
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            },
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            "confidence_flag": null
        },
        {
            "name": "HAMR",
            "description": "HAMR (High-throughput Annotation of Modified Ribonucleotides) - web application that allows you to detect and classify modified nucleotides in RNA-seq data.",
            "homepage": "http://tesla.pcbi.upenn.edu/hamr/",
            "biotoolsID": "HAMR",
            "biotoolsCURIE": "biotools:HAMR",
            "version": [
                "1.2"
            ],
            "otherID": [],
            "relation": [],
            "function": [
                {
                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_0484",
                            "term": "SNP detection"
                        },
                        {
                            "uri": "http://edamontology.org/operation_3196",
                            "term": "Genotyping"
                        },
                        {
                            "uri": "http://edamontology.org/operation_3185",
                            "term": "Base-calling"
                        }
                    ],
                    "input": [],
                    "output": [],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Command-line tool",
                "Web application",
                "Web service"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_3170",
                    "term": "RNA-Seq"
                },
                {
                    "uri": "http://edamontology.org/topic_0659",
                    "term": "Functional, regulatory and non-coding RNA"
                },
                {
                    "uri": "http://edamontology.org/topic_3512",
                    "term": "Gene transcripts"
                }
            ],
            "operatingSystem": [
                "Linux",
                "Windows",
                "Mac"
            ],
            "language": [
                "R",
                "Java",
                "Python"
            ],
            "license": "MIT",
            "collectionID": [],
            "maturity": "Mature",
            "cost": "Free of charge",
            "accessibility": "Open access",
            "elixirPlatform": [],
            "elixirNode": [],
            "elixirCommunity": [],
            "link": [
                {
                    "url": "https://github.com/GregoryLab/HAMR",
                    "type": [
                        "Repository"
                    ],
                    "note": null
                },
                {
                    "url": "https://github.com/GregoryLab/HAMR/issues",
                    "type": [
                        "Issue tracker"
                    ],
                    "note": null
                },
                {
                    "url": "http://tesla.pcbi.upenn.edu/hamr/",
                    "type": [
                        "Other"
                    ],
                    "note": null
                }
            ],
            "download": [
                {
                    "url": "https://github.com/wanglab-upenn/HAMR/archive/v1.2.tar.gz",
                    "type": "Software package",
                    "note": null,
                    "version": "1.2"
                }
            ],
            "documentation": [
                {
                    "url": "http://tesla.pcbi.upenn.edu/hamr/",
                    "type": [
                        "General"
                    ],
                    "note": null
                },
                {
                    "url": "https://github.com/GregoryLab/HAMR/blob/stable/README.md",
                    "type": [
                        "General"
                    ],
                    "note": null
                }
            ],
            "publication": [
                {
                    "doi": "10.1007/978-1-4939-8808-2_4",
                    "pmid": "30539546",
                    "pmcid": null,
                    "type": [
                        "Primary"
                    ],
                    "version": null,
                    "note": null,
                    "metadata": {
                        "title": "HAMR: High-throughput annotation of modified ribonucleotides",
                        "abstract": "© Springer Science+Business Media, LLC, part of Springer Nature 2019.Ribonucleotides can be decorated with over 100 types of covalent chemical modifications. These modifications change the structure, function, and catalytic activity of RNAs, forming a layer of posttranscriptional regulation termed the epitranscriptome. Recent advances in high-throughput mapping have demonstrated these modifications are abundant and mark nearly all classes of RNAs, including messenger RNAs. Here, we outline one such technique called high-throughput annotation of modified ribonucleotides (HAMR). HAMR exploits the tendency of certain modified ribonucleotides to interfere with base pairing, leading to errors in complementary DNA synthesis during RNA sequencing library preparation. In total, we present a computational protocol for in silico identification of modifications with HAMR, which can be retroactively applied to a variety of RNA sequencing techniques.",
                        "date": "2019-01-01T00:00:00Z",
                        "citationCount": 10,
                        "authors": [
                            {
                                "name": "Vandivier L.E."
                            },
                            {
                                "name": "Anderson Z.D."
                            },
                            {
                                "name": "Gregory B.D."
                            }
                        ],
                        "journal": "Methods in Molecular Biology"
                    }
                }
            ],
            "credit": [
                {
                    "name": null,
                    "email": "hamr@pcbi.upenn.edu",
                    "url": null,
                    "orcidid": null,
                    "gridid": null,
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                    "fundrefid": null,
                    "typeEntity": "Project",
                    "typeRole": [
                        "Primary contact"
                    ],
                    "note": null
                }
            ],
            "community": null,
            "owner": "Ruta",
            "additionDate": "2019-06-23T16:56:45Z",
            "lastUpdate": "2021-12-08T20:09:30.310377Z",
            "editPermission": {
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                "authors": []
            },
            "validated": 1,
            "homepage_status": 0,
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            "confidence_flag": null
        },
        {
            "name": "RepEx",
            "description": "Web server to extract sequence repeats from protein and DNA sequences.",
            "homepage": "http://bioserver2.physics.iisc.ac.in/RepEx/",
            "biotoolsID": "RepEx",
            "biotoolsCURIE": "biotools:RepEx",
            "version": [],
            "otherID": [],
            "relation": [],
            "function": [
                {
                    "operation": [
                        {
                            "uri": "http://edamontology.org/operation_0237",
                            "term": "Repeat sequence analysis"
                        }
                    ],
                    "input": [],
                    "output": [],
                    "note": null,
                    "cmd": null
                }
            ],
            "toolType": [
                "Web application",
                "Web service"
            ],
            "topic": [
                {
                    "uri": "http://edamontology.org/topic_0157",
                    "term": "Sequence composition, complexity and repeats"
                },
                {
                    "uri": "http://edamontology.org/topic_2885",
                    "term": "DNA polymorphism"
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                        "abstract": "© 2019 The Author(s).Motivation: Gene Expression Omnibus (GEO) and other publicly available data store their metadata in the format of unstructured English text, which is very difficult for automated reuse. Results:We employed text mining techniques to analyze the metadata of GEO and developed Restructured GEO database (ReGEO). ReGEO reorganizes and categorizes GEO series and makes them searchable by two new attributes extracted automatically from each series' metadata. These attributes are the number of time points tested in the experiment and the disease being investigated. ReGEO also makes series searchable by other attributes available in GEO, such as platform organism, experiment type, associated PubMed ID as well as general keywords in the study's description. Our approach greatly expands the usability of GEO data, demonstrating a credible approach to improve the utility of vast amount of publicly available data in the era of Big Data research.",
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                                "name": "Deng N."
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                                "name": "Qiu X."
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                            {
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                        "title": "GenTree, an integrated resource for analyzing the evolution and function of primate-specific coding genes",
                        "abstract": "© 2019 Shao et al.The origination of new genes contributes to phenotypic evolution in humans. Two major challenges in the study of new genes are the inference of gene ages and annotation of their protein-coding potential. To tackle these challenges, we created GenTree, an integrated online database that compiles age inferences from three major methods together with functional genomic data for new genes. Genome-wide comparison of the age inference methods revealed that the synteny-based pipeline (SBP) is most suited for recently duplicated genes, whereas the protein-family–based methods are useful for ancient genes. For SBP-dated primate-specific protein-coding genes (PSGs), we performed manual evaluation based on published PSG lists and showed that SBP generated a conservative data set of PSGs by masking less reliable syntenic regions. After assessing the coding potential based on evolutionary constraint and peptide evidence from proteomic data, we curated a list of 254 PSGs with different levels of protein evidence. This list also includes 41 candidate misannotated pseudogenes that encode primate-specific short proteins. Coexpression analysis showed that PSGs are preferentially recruited into organs with rapidly evolving pathways such as spermatogenesis, immune response, mother–fetus interaction, and brain development. For brain development, primate-specific KRAB zinc-finger proteins (KZNFs) are specifically up-regulated in the mid-fetal stage, which may have contributed to the evolution of this critical stage. Altogether, hundreds of PSGs are either recruited to processes under strong selection pressure or to processes supporting an evolving novel organ.",
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                        "authors": [
                            {
                                "name": "Shao Y."
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                            {
                                "name": "Chen C."
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                            {
                                "name": "Shen H."
                            },
                            {
                                "name": "He B.Z."
                            },
                            {
                                "name": "Yu D."
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                            {
                                "name": "Jiang S."
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                            {
                                "name": "Zhao S."
                            },
                            {
                                "name": "Gao Z."
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                            {
                                "name": "Zhu Z."
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                            {
                                "name": "Chen X."
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                            {
                                "name": "Fu Y."
                            },
                            {
                                "name": "Chen H."
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                            {
                                "name": "Gao G."
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                            {
                                "name": "Long M."
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                            {
                                "name": "Zhang Y.E."
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                    "term": "MRI"
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                    "term": "Medical imaging"
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                    "term": "Tomography"
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                        "title": "Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance",
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