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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BrainStars Resource Report Resource Website 10+ mentions |
BrainStars (RRID:SCR_005810) | B* | database, software resource, data access protocol, web service, data or information resource | BrainStars (or B*) is a quantitative expression database of the adult mouse brain. The database has genome-wide expression profile at 51 adult mouse CNS regions. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2). These samples were purified their RNA, and measured with Affymetrix GeneChip Mouse Genome 430 2.0 arrays. Expression values were then summarized with the RMA method. After several analysis with the expression data, the data and analysis results were stored in the BrainStars database. The database has a REST-like Web API interface for accessing from your Web applications. This document shows how to access the database via our Web API. | mouse, brain, adult, expression profile, affymetrix genechip mouse genome 430 2.0 array, rna, central nervous system, gene expression, gene |
is related to: Allen Mouse Brain Reference Atlas is related to: Allen Institute for Brain Science has parent organization: RIKEN has parent organization: Kindai University School of Medicine; Osaka; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:21858037 | BrainStars data, Images and texts (excluding ABA data and images) are licensed under a Creative Commons Attribution 2.1 Japan License. | nlx_149301 | SCR_005810 | BrainStars Database, BrainStars (B*) | 2026-02-15 09:19:04 | 14 | |||||
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GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | source code, data analysis service, software resource, service resource, production service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-02-15 09:19:11 | 0 | |||||
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FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | software application, data processing software, data analysis software, software resource | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | FunCluster R Package, FunCluster Algorithm | 2026-02-15 09:19:03 | 2 | |||||
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GREAT: Genomic Regions Enrichment of Annotations Tool Resource Report Resource Website 50+ mentions |
GREAT: Genomic Regions Enrichment of Annotations Tool (RRID:SCR_005807) | GREAT | source code, data analysis service, software resource, service resource, production service resource, analysis service resource | Data analysis service that predicts functions of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. The utility of GREAT extends to data generated for transcription-associated factors, open chromatin, localized epigenomic markers and similar functional data sets, and comparative genomics sets. Platform: Online tool | term enrichment, cis-regulatory region, function, gene, genomic, annotation, ontology, chromatin immunoprecipitation, sequencing, chip-seq, comparative genomics, transcription factor binding |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: PRISM (Stanford database) is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
Bio-X ; Howard Hughes Medical Institute ; Stanford University; California; USA ; Packard ; Searle Scholar ; Microsoft Research ; Alfred P. Sloan Foundation ; Edward Mallinckrodt Jr. Foundation ; NIH ; Human Frontier Science Program fellowship LT000896/2009-l; NICHD 1R01HD059862; NHGRI R01HG005058; NSF CCF-0939370; DFG Hi 1423/2-1 |
PMID:20436461 PMID:23814184 |
Free for academic use, Acknowledgement requested | nlx_149295, OMICS_00635 | SCR_005807 | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-02-15 09:19:03 | 82 | |||||
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GOHyperGAll Resource Report Resource Website 1+ mentions |
GOHyperGAll (RRID:SCR_005766) | GOHyperGAll | software application, data processing software, data analysis software, software resource | To test a sample population of genes for overrepresentation of GO terms, the R/BioC function GOHyperGAll computes for all GO nodes a hypergeometric distribution test and returns the corresponding p-values. A subsequent filter function performs a GO Slim analysis using default or custom GO Slim categories. Basic knowledge about R and BioConductor is required for using this tool. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, gene ontology, annotation, statistical analysis, slimmer-type tool |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of California at Riverside; California; USA |
PMID:18354039 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149267 | SCR_005766 | 2026-02-15 09:19:11 | 4 | |||||||
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Expression Atlas of the Marmoset Resource Report Resource Website 1+ mentions |
Expression Atlas of the Marmoset (RRID:SCR_005760) | Marmoset Expression Atlas, RIKEN Marmoset Expression Atlas | atlas, data or information resource, expression atlas, data set | Database of gene expression in the marmoset brain.Comparative anatomy of marmoset and mouse cortex from genomic expression. Atlas comparing brain of neonatal marmoset with mouse using in situ hybridization. | gene, marmoset, gene expression, neonatal, brain, in situ hybridization, gene, cortex, thalamus, dorsal nucleus of lateral geniculate body, dlgn, subplate, hippocampus, primary somatosensory cortex, btbd3, cdh6, cdh8, cplx3, ctgf, epha4, epha5, epha6, epha7, efna5, er81, foxp2, gfralpha1, kitl, lhx9, nr1d1, nr4a2, ntng2, relin, roralpha, satb2, sema6a, tbr1, tcf7l2, zic1, zic4, genomic expression |
is used by: NIF Data Federation has parent organization: RIKEN Brain Science Institute |
RIKEN Brain Science Institute ; Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Funding Program for World-Leading Innovative RD on Science and Technology |
PMID:22496550 | nlx_149225 | http://mmtd.brain.riken.jp/P0marmoset/ | SCR_005760 | Marmoset Gene List, Comparative Anatomy of Marmoset and Mouse Cortex from Genomic Expression, Comparative Anatomy of Marmoset Mouse Cortex from Genomic Expression | 2026-02-15 09:19:02 | 1 | |||||
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TRANSPATH Resource Report Resource Website 1+ mentions |
TRANSPATH (RRID:SCR_005640) | TRANSPATH | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Database on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. It can either be used as an encyclopedia, for both specific and general information on signal transduction, or can serve as a network analyzer. Cross-references to important sequence and signature databases such as EMBL/GenBank UniProt/Swiss-Prot InterPro or Ensembl EntrezGene RefSeq are provided. The database is equipped with the tools for data visualization and analysis. It has three modules: the first one is the data, which have been manually extracted, mostly from the primary literature; the second is PathwayBuilder, which provides several different types of network visualization and hence facilitates understanding; the third is ArrayAnalyzer, which is particularly suited to gene expression array interpretation, and is able to identify key molecules within signalling networks (potential drug targets). These key molecules could be responsible for the coordinated regulation of downstream events. Manual data extraction focuses on direct reactions between signalling molecules and the experimental evidence for them, including species of genes/proteins used in individual experiments, experimental systems, materials and methods. This combination of materials and methods is used in TRANSPATH to assign a quality value to each experimentally proven reaction, which reflects the probability that this reaction would happen under physiological conditions. Another important feature in TRANSPATH is the inclusion of transcription factor-gene relations, which are transferred from TRANSFAC, a database focused on transcription regulation and transcription factors. Since interactions between molecules are mainly direct, this allows a complete and stepwise pathway reconstruction from ligands to regulated genes. | signal transduction, network analyzer, transcriptional regulator, transcription factor, metabolic pathway, signaling pathway, protein-protein interaction, gene-regulatory pathway, signal transduction pathway, complex, signaling molecule, reaction, molecule, gene, pathway, gene expression |
is related to: TRANSFAC is related to: GeneTrail has parent organization: BIOBASE Corporation |
BMBF 031U210B; BMBF 0313092; European Union FP6 contract LSHG-CT-2004-503568; European Union MRTN-CT-2004-512285 |
PMID:18629064 PMID:16381929 PMID:12519957 PMID:11724734 |
Free for academic use, Free for non-profit use, Account required | nif-0000-03580 | http://transpath.gbf.de, http://www.gene-regulation.com/pub/databases.html, http://www.biobase.de/pages/products/databases.html | SCR_005640 | 2026-02-15 09:19:00 | 2 | |||||
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InParanoid: Eukaryotic Ortholog Groups Resource Report Resource Website 100+ mentions |
InParanoid: Eukaryotic Ortholog Groups (RRID:SCR_006801) | InParanoid | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Collection of pairwise comparisons between 100 whole genomes generated by a fully automatic method for finding orthologs and in-paralogs between TWO species. Ortholog clusters in the InParanoid are seeded with a two-way best pairwise match, after which an algorithm for adding in-paralogs is applied. The method bypasses multiple alignments and phylogenetic trees, which can be slow and error-prone steps in classical ortholog detection. Still, it robustly detects complex orthologous relationships and assigns confidence values for in-paralogs. The original data sets can be downloaded. | protein, ortholog, genome, drosophila pseudoobscura, duplication, entamoeba histolytica, escherichia colik12, eukaryotic, gasterosteus aculeatus, gene, aedes aegypti, apis mellifera, bos taurus, caenorhabditis remanei, candida glabrata, canis familiaris, ciona intestinalis, cryptococcus neoformans, debaromyces hansenii, dictyostelium discoideum, genomic, homolog, inparalog, kluyveromyces lactis, macaca mulatta, monodelphis domestica, orthology, oryza sativa, outparalog, proteome, tetraodon nigroviridis, xenopus tropicalis, blast, proteome, ortholog cluster, cluster, in-paralog, paralog, automatic clustering, genome comparison, FASEB list | has parent organization: Stockholm University; Stockholm; Sweden | Swedish Research Council ; Karolinska Institutet; Stockholm; Sweden ; Pfizer Corporation |
PMID:19892828 PMID:18055500 PMID:15608241 PMID:11743721 |
Acknowledgement requested | nif-0000-03024 | http://www.cgb.ki.se/inparanoid/ | SCR_006801 | Inparanoid eukaryotic ortholog database | 2026-02-15 09:19:22 | 186 | ||||
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HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site Resource Report Resource Website 1+ mentions |
HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) | HAMSTeRS, HADB, HADB/HAMSTeRS, HADB / HAMSTeRS | database, service resource, storage service resource, data repository, data or information resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019. Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines) |
function, gene, genetic, analysis, bioinformatic, biological, biostatistic, caeruloplasmiin, crystal, haemophilia a, human, murine, porcine, canine, level, molecular, molecule, mutation, nucleic acid, or disease- specific databases, pathology, structural, structure, system-, vitromutagenesis, fviii genetic variation, dna, protein, factor viii, blood-clotting protein, point mutation, deletion, insertion | has parent organization: Imperial College London; London; United Kingdom | Pfizer UK ; MRC |
PMID:9399839 PMID:9016520 PMID:8594555 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21184 | http://europium.csc.mrc.ac.uk/WebPages/Main/main.htm, http://hadb.org.uk/ | SCR_006883 | HAMSTeRS - The Haemophilia A Mutation Structure Test Resource Site, Haemophilia A Mutation Database, Haemophilia A Mutation Structure Test and Resource Site, Haemophilia A Mutation Structure Test Resource Site | 2026-02-15 09:19:37 | 9 | ||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software toolkit, software resource | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | 2026-02-15 09:19:24 | 6 | ||||||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | image collection, data or information resource, database | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-02-15 09:19:23 | 1 | |||||||
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REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | database, service resource, storage service resource, data repository, data or information resource | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NSF EF0843229; NIGMS U24 GM144232 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-02-15 09:19:35 | 14 | ||||
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Mouse Genome Databases Resource Report Resource Website 1+ mentions |
Mouse Genome Databases (RRID:SCR_007147) | MGD | portal, database, organism-related portal, data set, data or information resource, topical portal | A mouse-related portal of genomic databases and tables of mouse brain data. Most files are intended for you to download and use on your own personal computer. Most files are available in generic text format or as FileMaker Pro databases. The server provides data extracted and compiled from: The 2000-2001 Mouse Chromosome Committee Reports, Release 15 of the MIT microsatellite map (Oct 1997), The recombinant inbred strain database of R.W. Elliott (1997) and R. W. Williams (2001), and the Map Manager and text format chromosome maps (Apr 2001). * LXS genotype (Excel file): Updated, revised positions for 330 markers genotyped using a panel of 77 LXS strain. * MIT SNP DATABASE ONLINE: Search and sort the MIT Single Nucleotide Polymorphism (SNP) database ONLINE. These data from the MIT-Whitehead SNP release of December 1999. * INTEGRATED MIT-ROCHE SNP DATABASE in EXCEL and TEXT FORMATS (1-3 MB): Original MIT SNPs merged with the new Roche SNPs. The Excel file has been formatted to illustrate SNP haplotypes and genetic contrasts. Both files are intended for statistical analyses of SNPs and can be used to test a method outlined in a paper by Andrew Grupe, Gary Peltz, and colleagues (Science 291: 1915-1918, 2001). The Excel file includes many useful equations and formatting that will help in navigating through this large database and in testing the in silico mapping method. * Use of inbred strains for the study of individual differences in pain related phenotypes in the mouse: Elissa J. Chesler''s 2002 dissertation, discussing issues relevant to the integration of genomic and phenomic data from standard inbred strains including genetic interactions with laboratory environmental conditions and the use of various in silico inbred strain haplotype based mapping algorithms for QTL analysis. * SNP QTL MAPPER in EXCEL format (572 KB, updated January 2002 by Elissa Chesler): This Excel workbook implements the Grupe et al. mapping method and outputs correlation plots. The main spreadsheet allows you to enter your own strain data and compares them to haplotypes. Be very cautious and skeptical when using this spreadsheet and the technique. Read all of the caveates. This excel version of the method was developed by Elissa Chesler. This updated version (Jan 2002) handles missing data. * MIT SNP Database (tab-delimited text format): This file is suitable for manipulation in statistics and spreadsheet programs (752 KB, Updated June 27, 2001). Data have been formatted in a way that allows rapid acquisition of the new data from the Roche Bioscience SNP database. * MIT SNP Database (FileMaker 5 Version): This is a reformatted version of the MIT Single Nucleotide Polymorphism (SNP) database in FileMaker 5 format. You will need a copy of this application to open the file (Mac and Windows; 992 KB. Updated July 13, 2001 by RW). * Gene Mapping and Map Manager Data Sets: Genetic maps of mouse chromosomes. Now includes a 10th generation advanced intercross consisting of 500 animals genetoyped at 340 markers. Lots of older files on recombinant inbred strains. * The Portable Dictionary of the Mouse Genome, 21,039 loci, 17,912,832 bytes. Includes all 1997-98 Chromosome Committee Reports and MIT Release 15. * FullDict.FMP.sit: The Portable Dictionary of the Mouse Genome. This large FileMaker Pro 3.0/4.0 database has been compressed with StuffIt. The Dictionary of the Mouse Genome contains data from the 1997-98 chromosome committee reports and MIT Whitehead SSLP databases (Release 15). The Dictionary contains information for 21,039 loci. File size = 4846 KB. Updated March 19, 1998. * MIT Microsatellite Database ONLINE: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. ONLINE. Updated July 12, 2001. * MIT Microsatellite Database: A database of MIT microsatellite loci in the mouse. Use this FileMaker Pro database with OurPrimersDB. MITDB is a subset of the Portable Dictionary of the Mouse Genome. File size = 3.0 MB. Updated March 19, 1998. * OurPrimersDB: A small database of primers. Download this database if you are using numerous MIT primers to map genes in mice. This database should be used in combination with the MITDB as one part of a relational database. File size = 149 KB. Updated March 19, 1998. * Empty copy (clone) of the Portable Dictionary in FileMaker Pro 3.0 format. Download this file and import individual chromosome text files from the table into the database. File size = 231 KB. Updated March 19, 1998. * Chromosome Text Files from the Dictionary: The table lists data on gene loci for individual chromosomes. | gene, genetic, chromosome, genotype, inbred mouse strain, pain, phenotype, polygenic, recombinant, trait, genome, genomic, single nucleotide polymorphism, primer, brain, recombinant inbred mouse strain | has parent organization: University of Tennessee Health Science Center; Tennessee; USA | nif-0000-20982 | SCR_007147 | 2026-02-15 09:19:28 | 2 | |||||||||
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Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | topical portal, data or information resource, database, portal | The initial objective of Genoscope was to compare the genomic sequences of this fish to that of humans to help in the annotation of human genes and to estimate their number. This strategy is based on the common genetic heritage of the vertebrates: from one species of vertebrate to another, even for those as far apart as a fish and a mammal, the same genes are present for the most part. In the case of the compact genome of Tetraodon, this common complement of genes is contained in a genome eight times smaller than that of humans. Although the length of the exons is similar in these two species, the size of the introns and the intergenic sequences is greatly reduced in this fish. Furthermore, these regions, in contrast to the exons, have diverged completely since the separation of the lineages leading to humans and Tetraodon. The Exofish method, developed at Genoscope, exploits this contrast such that the conserved regions which can be identified by comparing genomic sequences of the two species, correspond only to coding regions. Using preliminary sequencing results of the genome of Tetraodon in the year 2000, Genoscope evaluated the number of human genes at about 30,000, whereas much higher estimations were current. The progress of the annotation of the human genome has since supported the Genoscope hypothesis, with values as low as 22,000 genes and a consensus of around 25,000 genes. The sequencing of the Tetraodon genome at a depth of about 8X, carried out as a collaboration between Genoscope and the Whitehead Institute Center for Genome Research (now the Broad Institute), was finished in 2002, with the production of an assembly covering 90 of the euchromatic region of the genome of the fish. This has permitted the application of Exofish at a larger scale in comparisons with the genome of humans, but also with those of the two other vertebrates sequenced at the time (Takifugu, a fish closely related to Tetraodon, and the mouse). The conserved regions detected in this way have been integrated into the annotation procedure, along with other resources (cDNA sequences from Tetraodon and ab initio predictions). Of the 28,000 genes annotated, some families were examined in detail: selenoproteins, and Type 1 cytokines and their receptors. The comparison of the proteome of Tetraodon with those of mammals has revealed some interesting differences, such as a major diversification of some hormone systems and of the collagen molecules in the fish. A search for transposable elements in the genomic sequences of Tetraodon has also revealed a high diversity (75 types), which contrasts with their scarcity; the small size of the Tetraodon genome is due to the low abundance of these elements, of which some appear to still be active. Another factor in the compactness of the Tetraodon genome, which has been confirmed by annotation, is the reduction in intron size, which approaches a lower limit of 50-60 bp, and which preferentially affects certain genes. The availability of the sequences from the genomes of humans and mice on one hand, and Takifugu and Tetraodon on the other, provide new opportunities for the study of vertebrate evolution. We have shown that the level of neutral evolution is higher in fish than in mammals. The protein sequences of fish also diverge more quickly than those of mammals. A key mechanism in evolution is gene duplication, which we have studied by taking advantage of the anchoring of the majority of the sequences from the assembly on the chromosomes. The result of this study speaks strongly in favor of a whole genome duplication event, very early in the line of ray-finned fish (Actinopterygians). An even stronger evidence came from synteny studies between the genomes of humans and Tetraodon. Using a high-resolution synteny map, we have reconstituted the genome of the vertebrate which predates this duplication - that is, the last common ancestor to all bony vertebrates (most of the vertebrates apart from cartilaginous fish and agnaths like lamprey). This ancestral karyotype contains 12 chromosomes, and the 21 Tetraodon chromosomes derive from it by the whole genome duplication and a surprisingly small number of interchromosomal rearrangements. On the contrary, exchanges between chromosomes have been much more frequent in the lineage that leads to humans. Sponsors: The project was supported by the Consortium National de Recherche en Genomique and the National Human Genome Research Institute. | duplication, element, euchromatic, evolution, exon, fish, gene, genetic, actinopterygians, aganth, ancestor, cartilaginous, cdna, chromosome, coding, collagen, cytokine, diversity, genome, genomic, heritage, hormone, human, interchromossomal, intergenic, intron, karyotype, lineage, mammal, molecule, mouse, nigroviridis, protein, proteome, pufferfish, receptor, region, selenoprotein, sequence, size, specie, synteny, system, takifugu, tetraodon, transposable, vertebrate | nif-0000-20997 | SCR_007079 | TGB | 2026-02-15 09:19:21 | 8 | ||||||||||
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GtRNAdb - Genomic tRNA Database Resource Report Resource Website 100+ mentions |
GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) | GtRNAdb | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | This genomic tRNA database contains tRNA gene predictions made by the program tRNAscan-SE (Lowe & Eddy, Nucl Acids Res 25: 955-964, 1997) on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein coding RNA genes found in all living organisms. By far, the major source of new tRNAs is computational identification of genes within newly sequenced genomes. To organize the rapidly growing collection and enable systematic analyses, we created the Genomic tRNA Database (GtRNAdb). The web resource provides overview statistics of tRNA genes within each analyzed genome, including information by isotype and genetic locus, easily downloadable primary sequences, graphical secondary structures and multiple sequence alignments. Direct links for each gene to UCSC eukaryotic and microbial genome browsers provide graphical display of tRNA genes in the context of all other local genetic information. The database can be searched by primary sequence similarity, tRNA characteristics or phylogenetic group. Inevitably with automated sequence analysis, we find exceptions to general identification rules, isoacceptor type predictions (esp. due to variable post-transcriptional anticodon modification), and questionable tRNA identifications (due to pseudogenes, SINES, or other tRNA-derived elements). We attempt to document all cases we come across, and welcome feedback on new or unrecognized discrepancies. | trna, trna gene prediction, genome, gene, isotype, genetic locus, blast, secondary structure, sequence alignment, fasta, seq, eukaryotic, microbial, primary sequence, phylogenetic group, FASEB list | has parent organization: University of California at Santa Cruz; California; USA | Hewlett-Packard | PMID:18984615 | nif-0000-02932 | SCR_006939 | Genomic tRNA Database | 2026-02-15 09:19:24 | 336 | ||||||
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Europhenome Mouse Phenotyping Resource Resource Report Resource Website 10+ mentions |
Europhenome Mouse Phenotyping Resource (RRID:SCR_006935) | EuroPhenome | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Open source software system for capturing, storing and analyzing raw phenotyping data from SOPs contained in EMPReSS, it provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centers. Mutants of interest can be identified by searching the gene or the predicted phenotype. You can also access phenotype data from the EMPReSSlim Pipeline for inbred mouse strains. Initially EuroPhenome was developed within the EUMORPHIA programme to capture and store pilot phenotyping data obtained on four background strains (C57BL/6J, C3H/HeBFeJ, BALB/cByJ and 129/SvPas). EUMORPHIA (European Union Mouse Research for Public Health and Industrial Applications) was a large project comprising of 18 research centers in 8 European countries, with the main focus of the project being the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. The current version of EuroPhenome is capturing data from the EUMODIC project as well as the WTSI MGP, HMGU GMC pipeline and the CMHD. EUMODIC is undertaking a primary phenotype assessment of up to 500 mouse mutant lines derived from ES cells developed in the EUCOMM project as well as other lines. Lines showing an interesting phenotype will be subject to a more in depth assessment. EUMODIC is building upon the comprehensive database of standardized phenotyping protocols, called EMPReSS, developed by the EUMORPHIA project. EUMODIC has developed a selection of these screens, called EMPReSSslim, to enable comprehensive, high throughput, primary phenotyping of large numbers of mice. Phenovariants are annotated using a automated pipeline, which assigns a MP term if the mutant data is statistically different to the baseline data. This data is shown in the Phenomap and the mine for a mutant tool. Please note that a statistically significant result and the subsequent MP annotation does not necessarily mean a true phenovariant. There are other factors that could cause this result that have not been accounted for in the analysis. It is the responsibility of the user to download the data and use their expert knowledge or further analysis to decide whether they agree or not. EuroPhenome is primarily based in the bioinformatics group at MRC Harwell. The development of EuroPhenome is in collaboration with the Helmholtz Zentrum Munchen, Germany, the Wellcome Trust Sanger Institute, UK and the Institut Clinique de la Souris, France. | phenotype, gene, mutant mouse strain, inbred mouse strain, annotation, ortholog, high-throughput, phenovariant, disorder, c57bl/6j, c3h/hebfej, balb/cbyj, 129/svpas |
is related to: European Mouse Phenotyping Resource of Standardised Screens is related to: OMIM is related to: Understanding Human Disease Through Mouse Genetics is related to: European Conditional Mouse Mutagenesis Program is related to: European Mouse Phenotyping Resource of Standardised Screens has parent organization: MRC Mammalian Genetics Unit |
European Union FP6 contract LSHG-CT-2006-037188; MRC ; National Genome Research Network |
PMID:19933761 PMID:17905814 |
Open unspecified license, Acknowledgement requested | nif-0000-30535 | SCR_006935 | 2026-02-15 09:19:20 | 19 | ||||||
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AutismKB Resource Report Resource Website 10+ mentions |
AutismKB (RRID:SCR_006937) | AutismKB | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities. | gene, copy number variation, linkage region, genome-wide association study, family-based association study, case-control association study, expression profile, blast, syndromic, non-syndromic, snp, vntr, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
Autism spectrum disorder, Autism | Merck ; Johnson and Johnson ; Natural Science Foundation of China 31025014; Natural Science Foundation of China 2011CBA01102 |
PMID:22139918 | biotools:autismkb, nlx_151318 | https://bio.tools/autismkb | SCR_006937 | Autism Knowledgebase | 2026-02-15 09:19:24 | 33 | ||||
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RTPrimerDB- The Real-Time PCR and Probe Database Resource Report Resource Website 10+ mentions |
RTPrimerDB- The Real-Time PCR and Probe Database (RRID:SCR_007106) | RTPrimerDB | database, service resource, storage service resource, data repository, data or information resource | Database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridization Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimization, and to introduce a certain level of uniformity and standardization among different laboratories. Researchers are encouraged to submit their validated primer and probe sequence, so that other users can benefit from their expertise. The database can be queried using the official gene name or symbol, Entrez or Ensembl Gene identifier, SNP identifier, or oligonucleotide sequence. Different options make it possible to restrict a query to a particular application (Gene Expression Quantification/Detection, DNA Copy Number Quantification/Detection, SNP Detection, Mutation Analysis, Fusion Gene Quantification/Detection, Chromatin immunoprecipitation (ChIP)), organism (Human, Mouse, Rat, and others) or detection chemistry. | primer, probe, sequence, real-time pcr, gene, assay, real-time pcr assay, FASEB list |
is listed by: OMICtools has parent organization: Ghent University; Ghent; Belgium |
PMID:18948285 PMID:16381959 PMID:12519963 |
Public, The community can contribute to this resource | nif-0000-03431, OMICS_02322 | SCR_007106 | 2026-02-15 09:19:22 | 48 | |||||||
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Chromosome 7 Annotation Project Resource Report Resource Website 10+ mentions |
Chromosome 7 Annotation Project (RRID:SCR_007134) | Chromosome 7 Annotation Project | database, service resource, storage service resource, data repository, data or information resource | Database containing the DNA sequence and annotation of the entire human chromosome 7, encompassing nearly 158 million nucleotides of DNA and 1917 gene structures, are presented; the most up to date collation of sequence, gene, and other annotations from all databases (eg. Celera published, NCBI, Ensembl, RIKEN, UCSC) as well as unpublished data. To generate a higher order description, additional structural features such as imprinted genes, fragile sites, and segmental duplications were integrated at the level of the DNA sequence with medical genetic data, including 440 chromosome rearrangement breakpoints associated with disease. The objective of this project is to generate a comprehensive description of human chromosome 7 to facilitate biological discovery, disease gene research and medical genetic applications. There are over 360 disease-associated genes or loci on chromosome 7. A major challenge ahead will be to represent chromosome alterations, variants, and polymorphisms and their related phenotypes (or lack thereof), in an accessible way. In addition to being a primary data source, this site serves as a weighing station for testing community ideas and information to produce highly curated data to be submitted to other databases such as NCBI, Ensembl, and UCSC. Therefore, any useful data submitted will be curated and shown in this database. All Chromosome 7 genomic clones (cosmids, BACs, YACs) listed in GBrowser and in other data tables are freely distributed. | duplication, gene expression, family, fish, gene, gene annotation, genome, breakpoint, chromosome, chromosome 7, clinical, deletion, disease, dna sequence, human, insertion, inversion, polymorphism, rearrangement, segmental duplication, snp, translocation, annotation, data analysis service, blat, cosmid, bac, yac, biomaterial supply resource, malignant, non malignant, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: Debian is listed by: bio.tools |
PMID:12690205 | Free, (Genomic clones) | nif-0000-03550, biotools:chr7, r3d100012136 | https://bio.tools/chr7 https://doi.org/10.17616/R3VP9V |
SCR_007134 | The Chromosome 7 Annotation Project, Chromosome 7 Annotation Project | 2026-02-15 09:19:28 | 13 | |||||
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Genes to Cognition: Neuroscience Research Programme Resource Report Resource Website 10+ mentions |
Genes to Cognition: Neuroscience Research Programme (RRID:SCR_007121) | topical portal, data or information resource, portal | A neuroscience research program that studies genes, the brain and behavior in an integrated manner, established to elucidate the molecular mechanisms of learning and memory, and shed light on the pathogenesis of disorders of cognition. Central to G2C investigations is the NMDA receptor complex (NRC/MASC), that is found at the synapses in the central nervous system which constitute the functional connections between neurons. Changes in the receptor and associated components are thought to be in a large part responsible for the phenomenon of synaptic plasticity, that may underlie learning and memory. G2C is addressing the function of synapse proteins using large scale approaches combining genomics, proteomics and genetic methods with electrophysiological and behavioral studies. This is incorporated with computational models of the organization of molecular networks at the synapse. These combined approaches provide a powerful and unique opportunity to understand the mechanisms of disease genes in behavior and brain pathology as well as provide fundamental insights into the complexity of the human brain. Additionally, Genes to Cognition makes available its biological resources, including gene-targeting vectors, ES cell lines, antibodies, and transgenic mice, generated for its phenotyping pipeline. The resources are freely-available to interested researchers. | cognition, gene, neuroscience |
is listed by: 3DVC has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust ; MRC ; BBSRC ; Gatsby Charitable Foundation ; Human Frontiers Science Programme ; European Union ; Framework Programme ; EPSRC ; NSF |
nif-0000-10235 | SCR_007121 | G2C Neuroscience Research Program, G2C Research Programme, Genes to Cognition: Neuroscience Research Program, Genes to Cognition, G2C, Genes to Cognition - Neuroscience Research Programme, Genes to Cognition-Neuroscience Research Programme, G2C Research Program | 2026-02-15 09:19:42 | 19 |
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