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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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FunCoup Resource Report Resource Website 1+ mentions |
FunCoup (RRID:SCR_018711) | web service, data access protocol, database, software resource, service resource, data or information resource | Database of genome wide functional coupling networks. Provides tools to explore predicted networks and to retrieve detailed information about data underlying each prediction. Web service for functional coupling search. | Genome, genome functional coupling network, coupling network, functional coupling, functional couplings search, gene identifier, genome data | has parent organization: Karolinska Institute; Stockholm; Sweden | Swedish Research Council ; Stockholm University |
PMID:24185702 | Free, Freely available | SCR_018711 | 2026-02-16 09:49:34 | 3 | ||||||||
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Preseq Resource Report Resource Website 10+ mentions |
Preseq (RRID:SCR_018664) | software application, data processing software, software toolkit, data analysis software, software resource | Software package for predicting library complexity and genome coverage in high throughput sequencing. Aimed at predicting yield of distinct reads from genomic library from initial sequencing experiment. Predicting molecular complexity of sequencing libraries. | Genome, high throughput sequencing, predicting library complexity, distinct yield prediction, genomic library, initial sequencing experiment, molecular complexity prediction, sequencing libraryb, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Stanford University; Stanford; California |
PMID:23435259 | Free, Freely available | biotools:preseq | https://github.com/smithlabcode/preseq https://bio.tools/preseq |
SCR_018664 | 2026-02-16 09:49:30 | 19 | |||||||
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EnteroBase Resource Report Resource Website 100+ mentions |
EnteroBase (RRID:SCR_019019) | web service, data access protocol, database, software resource, data or information resource | Integrated software environment that supports identification of global population structures within several bacterial genera that include pathogens. Web service for analyzing and visualizing genomic variation within bacteria. Genome database to enable to identify, analyse, quantify and visualise genomic variation within bacterial genera including Salmonella, Escherichia/Shigella, Clostridioides,Vibrio,Yersinia,Helicobacter,Moraxella. | Bacteria, pathogen, genome, Illumina short read, genotype, core genome multilocus, sequence typing, cgMLST, cgMLST sequence, bacterial strain mapping, visualizing genomic variation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: University of Warwick; Coventry; United Kingdom |
Biotechnology and Biological Sciences Research Council ; Wellcome Trust |
Restricted | biotools:Enterobase | https://bio.tools/EnteroBase | SCR_019019 | 2026-02-16 09:49:37 | 233 | |||||||
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Differential Methylation Analysis Package Resource Report Resource Website |
Differential Methylation Analysis Package (RRID:SCR_019148) | DMAP | software application, data processing software, software toolkit, data analysis software, software resource | Software package for large scale genomic DNA methylation analysis. Filters and processes aligned bisulphite sequenced data to generate comprehensive reference methylomes in different units for any genome. Processes aligned SAM files of multiple samples to provide reliable and statistically significant differentially methylated regions, then relate them to proximal genes and CpG features with reasonable rapidity. | Genomic DNA methylation, DNA methylation analysis, bisulphite sequenced data, reference methylomes generation, genome, aligned SAM files processing, differentially methylated regions | has parent organization: University of Otago; Dunedin; New Zealand | National Centre for Growth and Development and Health Research Council ; New Zealand |
PMID:24608764 | Free, Freely available | SCR_019148 | 2026-02-16 09:49:37 | 0 | |||||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | software application, data processing software, data visualization software, database, software resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | STACKdb | 2026-02-16 09:45:41 | 0 | ||||||||
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HVSeeker Resource Report Resource Website 1+ mentions |
HVSeeker (RRID:SCR_026120) | software application, software resource | Software tool for distinguishing between bacterial and phage sequences. Consists of two separate models: one analyzing DNA sequences and the other focusing on proteins. | genome, bacteria, phage, sequence, distinguishing between bacterial and phage sequences, | German Research Foundation INST 37/935-1 FUGG; King Fahd University of Petroleum and Minerals |
Free, Available for download, Freely available, | SCR_026120 | 2026-02-15 09:24:05 | 1 | ||||||||||
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Genomedata Resource Report Resource Website |
Genomedata (RRID:SCR_004544) | Genomedata | source code, software resource | A format for efficient storage of multiple tracks of numeric data anchored to a genome. The format allows fast random access to hundreds of gigabytes of data, while retaining a small disk space footprint. They have also developed utilities to load data into this format. Retrieving data from this format is more than 2900 times faster than a naive approach using wiggle files. A reference implementation in Python and C components is available here under the GNU General Public License. The software has only been tested on Linux and Mac systems. | genome, data, format, linux, mac, functional genomics, function, bio.tools |
is listed by: OMICtools is listed by: 3DVC is listed by: bio.tools is listed by: Debian has parent organization: University of Washington; Seattle; USA |
PMID:20435580 | GNU General Public License | nlx_53677, biotools:genomedata, OMICS_02148 | https://bio.tools/genomedata | SCR_004544 | 2026-02-15 09:18:45 | 0 | ||||||
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Ensembl Variation Resource Report Resource Website 1+ mentions |
Ensembl Variation (RRID:SCR_001630) | Ensembl Variation | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | Public database that stores areas of genome that differ between individual genomes (variants) and, where available, associated disease and phenotype information. Different types of variants for several species: single nucleotide polymorphisms (SNPs), short nucleotide insertions and/or deletions, and longer variants classified as structural variants (including CNVs). Effects of variants on the Ensembl transcripts and regulatory features for each species are predicted. You can run same analysis on your own data using Variant Effect Predictor. These data are integrated with other data sources in Ensembl, and can be accessed using the API or website. For several different species in Ensembl, they import variation data (SNPs, CNVs, allele frequencies, genotypes, etc) from a variety of sources (e.g. dbSNP). Imported variants and alleles are subjected to quality control process to flag suspect data. In human, they calculate linkage disequilibrium for each variant, by population. | genome, disease, phenotype, genomic variant, single nucleotide polymorphism nucleotide, insertion, deletion, structural variant, copy number variation, inversion, translocation, somatic variant, allele frequency, genotype, disease phenotype, inherited disease |
is used by: MONARCH Initiative is related to: dbSNP is related to: Database of Genomic Variants Archive (DGVa) is related to: PubMed is related to: Animal QTLdb is related to: OMIA - Online Mendelian Inheritance in Animals has parent organization: Ensembl |
PMID:23203987 PMID:20562413 PMID:20459810 PMID:20459805 |
Free, Available for download, Freely available | nlx_153897 | SCR_001630 | ensembl variation | 2026-02-16 09:45:32 | 4 | ||||||
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BLASTN Resource Report Resource Website 10000+ mentions |
BLASTN (RRID:SCR_001598) | BLASTn | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | Web application to search nucleotide databases using a nucleotide query. Algorithms: blastn, megablast, discontiguous megablast. | nucleotide, alignment, compare, sequence, genome, blast, transcript, dna sequence |
is listed by: OMICtools is listed by: SoftCite has parent organization: NCBI works with: Seek and Blastn works with: RMBlast |
PMID:17666756 PMID:18567917 |
Free, Freely available | nlx_153932, OMICS_00990 | http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome | SCR_001598 | NCBI BLASTN, Nucleotide Blast, Standard Nucleotide BLAST | 2026-02-16 09:45:32 | 19679 | |||||
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Ancora Resource Report Resource Website 10+ mentions |
Ancora (RRID:SCR_001623) | Ancora | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements. | genome, highly conserved noncoding element, noncoding element, regulatory gene, regulatory domain, regulatory element, developmental regulatory gene, evolution, enhancer |
is related to: MONARCH Initiative has parent organization: University of Bergen; Bergen; Norway |
Research Council of Norway ; Bergen Research Foundation ; Sars Centre |
PMID:18279518 | Free, Freely available | nlx_153891 | SCR_001623 | Atlas of Noncoding Conserved Regions in Animals | 2026-02-16 09:45:32 | 19 | |||||
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PhenoGen Informatics Resource Report Resource Website 10+ mentions |
PhenoGen Informatics (RRID:SCR_001613) | PhenoGen | application programming interface, data set, data analysis service, analysis service resource, data access protocol, data repository, software resource, storage service resource, source code, production service resource, service resource, data or information resource | Website for analyzing microarray data. Software toolbox for storing, analyzing and integrating microarray data and related genotype and phenotype data. The site is particularly suited for combining QTL and microarray data to search for candidate genes contributing to complex traits. In addition, the site allows, if desired by the investigators, sharing of the data. Investigators can conduct in-silico microarray experiments using their own and/or shared data. There are five major sections of the site: Genome/Transcriptome Data Browser, Microarray Analysis Tools, Gene List Analysis Tools, QTL Tools, and Downloads. The genome/transcriptome data browser combines a genome browser with all the microarray, RNA-Seq, and Genomic Sequencing data. This provides an effective platform to view all of this data side by side. Source code is available on GitHub. | genome, transcription, microarray, gene, quantitative trait loci, analysis, complex trait, genotype, phenotype, high-throughput, rna-seq, snp, genomic marker, region, data sharing, normalize, statistics, gene list, pathway, expression value, expression, correlation, exon, annotation, promoter, homolog, brain, heart, liver, adipose, candidate gene, genetics, transcriptome, eqtl, genome browser, inbred panel |
is related to: MONARCH Initiative has parent organization: University of Colorado Denver; Colorado; USA |
NIAAA R24 AA013162; NIAAA R01 AA13162; NIAAA U01 AA013524 |
PMID:17760997 | Free, Freely available | rid_000093, nlx_153879, r3d100011596 | https://github.com/TabakoffLab/PhenogenCloud https://doi.org/10.17616/R3WS7F |
http://phenogen.ucdenver.edu, http://phenogen.uchsc.edu | SCR_001613 | PhenoGen Informatics - The site for quantitative genetics of the transcriptome. | 2026-02-16 09:45:32 | 22 | |||
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North American Conditional Mouse Mutagenesis Project Resource Report Resource Website 1+ mentions |
North American Conditional Mouse Mutagenesis Project (RRID:SCR_001614) | NorCOMM | production service resource, material service resource, biomaterial manufacture, service resource | Large-scale research initiative focused on developing and distributing a library of mouse embryonic stem (ES) cell lines carrying single gene trapped or targeted mutations across the mouse genome. NorCOMM's large and growing archive of ES cells is publicly available on a cost-recovery basis from the Canadian Mouse Mutant Repository. As an international public resource, access to clones is unrestricted and nonexclusive. Through NorCOMM's affiliation with the Canadian Mouse Consortium (CMC), NorCOMM also provides clients with a single point of access to regional mouse derivation, phenotyping, genetic and archiving services across Canada. These value-added services can help your company harness NorCOMM's resources for drug discovery, target discovery and preclinical validation. | gene, target, embryonic stem cell line, gene trap, targeted mutation, mouse genome, mutation, genome, derivation, phenotype, genetic, archive, phenotyping, archiving, gene target, clone |
is related to: CMMR - Canadian Mouse Mutant Repository is related to: CMMR - Canadian Mouse Mutant Repository has parent organization: International Knockout Mouse Consortium |
Genome Canada | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153880 | SCR_001614 | 2026-02-16 09:45:32 | 4 | |||||||
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Sea Urchin Genome Project Resource Report Resource Website 1+ mentions |
Sea Urchin Genome Project (RRID:SCR_001735) | data or information resource, project portal, portal | Provides informationa about Genome of California Purple Sea Urchin, one species (Strongylocentrotus purpuratus) of which has been sequenced and annotated by Sea Urchin Genome Sequencing Consortium led by HGSC. Reports sequence and analysis of genome of sea urchin Strongylocentrotus purpuratus, a model for developmental and systems biology. | echinoderm, evolutionary, fragile urchin, gene, genome, allocentrotus fragilis, bacterial artificial chromosome (bac), biology, chromosome, clone, core facility, deuterostome, developmental biology, heterozygosity, metabase, model, sea urchin, sequence, shotgun, strongylocentrotus franciscanus, strongylocentrotus purpuratus, systems biology, vertebrate | has parent organization: Baylor University; Texas; USA | Free, Freely Available | nif-0000-25606, SCR_002841, nif-0000-10253 | http://www.hgsc.bcm.tmc.edu/project-species-o-Strongylocentrotus%20purpuratus.hgsc?pageLocation=Strongylocentrotus%20purpuratus | SCR_001735 | Sea Urchin, HGSC Sea Urchin Genome Project | 2026-02-16 09:45:34 | 1 | |||||||
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Animal QTLdb Resource Report Resource Website 50+ mentions |
Animal QTLdb (RRID:SCR_001748) | Animal QTLdb | data repository, database, storage service resource, service resource, data or information resource | Database of trait mapping data, i.e. QTL (phenotype / expression, eQTL), candidate gene and association data (GWAS) and copy number variations (CNV) mapped to livestock animal genomes, to facilitate locating and comparing discoveries within and between species. New data and database tools are continually developed to align various trait mapping data to map-based genome features, such as annotated genes. QTLdb is open to house QTL/association date from other animal species where feasible. Most scientific journals require that any original QTL/association data be deposited into public databases before paper may be accepted for publication. User curator accounts are provided for direct data deposit. Users can download QTLdb data from each species or individual chromosome. | chromosome, comparative genomics, dna sequence, genome, livestock, quantitative trait locus, non-human animal, structural genomics, single-nucleotide polymorphism, gene association, genomics, trait, copy number variation, trait, phenotype, expression, eqtl, genome wide association study, candidate gene, genotype |
uses: Entrez Gene uses: Ensembl is used by: NIF Data Federation is used by: MONARCH Initiative is listed by: re3data.org is related to: Ensembl Variation is related to: Vertebrate Trait Ontology has parent organization: Iowa State University; Iowa; USA has parent organization: NAGRP Bioinformatics Coordination Program |
USDA NRSP-8; USDA 2007-04187 |
PMID:23180796 PMID:17245610 |
Free, Freely available | nif-0000-02550 | http://www.animalgenome.org/QTLdb/ | SCR_001748 | Animal QTL database, Animal Quantitative Trait Loci database, AnimalQTLdb, Animal Quantitative Trait Loci (QTL) database | 2026-02-16 09:45:34 | 50 | ||||
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South African National Bioinformatics Institute: Resources Resource Report Resource Website |
South African National Bioinformatics Institute: Resources (RRID:SCR_001867) | software application, data processing software, data analysis software, organization portal, software resource, database, portal, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. The South African National Bioinformatics Institute delivers biomedical discovery appropriate to both international and African context. Researchers at SANBI perform the highest level of research and provide excellence in education. Research at SANBI has set well recognized milestones in the field of computational biology. The tools and techniques used have not only been developed but also implemented across heterogeneous domains of advanced research. Local and international efforts have driven our discoveries. Until recently, the core of SANBIs research has focused upon gene expression biology. Methods developed and applied at SANBI revolve around a greater understanding of the underlying causes of diseases. SANBI approaches the problem by comparison of genes, genomes and transcriptomes. It uses computational gene expression biology to create novel biological insights and to provide biomarkers for experimental validation. It also performs analysis of human genome variation, transcriptional diversity on both the expression and splicing level and the unravelling of transcriptional regulatory networks. Resources - Hinv, STACKdb, Malaria resources and Trypanosome databases are available for on-line seaching. - SANBI offers WCD, STACKdb, stackPACK and eVOC and the eVOKE viewer as tools that can be downloaded. Sponsors: SANBI receives funding and support from a range of organisations in South Africa and Internationally. Organisations currently supporting SANBI include: South Africa * South African Medical Research Council * South African AIDS Vaccine Initiative * National Bioinformatics Network * National Research Foundation * Claude Leon Foundation * International Business Machines Inc. Europe * European Unions 6th Framework Programme * World Health Organization USA * US National Institutes of Health * Fogarty International Centre * Ludwig Institute for Cancer Research | expression, gene, gene expression, bioinformatics, biological, biology, biomaker, biomedical, computational biology, disease, genome, heterogeneous domain, human, splicing, transcriptional diversity, transcriptional regulatory network, transcriptome, variation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10432 | SCR_001867 | SANBI | 2026-02-16 09:45:36 | 0 | |||||||||
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University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics Resource Report Resource Website 1+ mentions |
University of California at Los Angeles - Department of Energy Institute for Genomics and Proteomics (RRID:SCR_001921) | data computation service, organization portal, database, portal, data or information resource | The UCLA-DOE Institute for Genomics and Proteomics carries out research in bioenergy, structural biology, genomics and proteomics, consistent with the research mission of the United States Department of Energy. Major interests of the 12 Principal Investigators and 9 Associate Members include systems approaches to organisms, structural biology, bioinformatics, and bioenergetic systems. The Institute sponsors 5 Core Technology Centers, for X-ray and NMR structural determination, bioinformatics and computation, protein expression and purification, and biochemical instrumentation. Services offered by this Institute: - Databases: * DIP (The Database of Interacting Proteins): The DIPTM database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. * ProLinks Database of Functional Linkages: The Prolinks database is a collection of inference methods used to predict functional linkages between proteins. These methods include the Phylogenetic Profile method which uses the presence and absence of proteins across multiple genomes to detect functional linkages; the Gene Cluster method, which uses genome proximity to predict functional linkage; Rosetta Stone, which uses a gene fusion event in a second organism to infer functional relatedness; and the Gene Neighbor method, which uses both gene proximity and phylogenetic distribution to infer linkage. - Data-to-Structure Servers: * SAVEs Structure Verification Server * Merohedral Twinning Test Server * SER Surface Entropy Reduction Server * VERIFY3D Structure Verification Server * ERRAT Structure Verification Server - Structure-to-Function Servers: * ProKnow Protein Functionator * Hot Patch Functional Site Locator | expression, functional linkage, gene, biochemical instrumentation, bioenergetic system, bioenergy, bioinformatic, computation, genome, genomic, nmr, organism, protein, protein-protein interaction, proteomic, purification, structural biology, x-ray | nif-0000-10491 | SCR_001921 | UCLA-DOE | 2026-02-16 09:45:40 | 4 | ||||||||||
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Stanford Genomic Resourses Resource Report Resource Website |
Stanford Genomic Resourses (RRID:SCR_001874) | data or information resource, topical portal, portal | This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University. | gene, genes, aspergillus, candida, genome, genomics, human, mouse | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10436 | SCR_001874 | Genomic Databases | 2026-02-16 09:45:36 | 0 | |||||||||
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MEME Suite - Motif-based sequence analysis tools Resource Report Resource Website 1000+ mentions |
MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) | MEME Suite | software application, data processing software, data analysis software, data analysis service, analysis service resource, software resource, database, source code, production service resource, service resource, data or information resource | Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use. | gene ontology, motif, comparative genomics, dna regulatory motif, dna sequence, dna, gene, transcription factor, genome, protein, analysis, function analysis, comparison, cluster, enrichment analysis, sequence analysis, bio.tools, FASEB list |
lists: DREME is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Glam2 is related to: ANNOgesic is related to: memesuite-lite has parent organization: National Biomedical Computation Resource is parent organization of: GOMO - Gene Ontology for Motifs |
NCRR R01 RR021692 | PMID:19458158 DOI:10.1093/nar/gkl198 |
Free, Freely available | nif-0000-10298, biotools:meme_suite, OMICS_08103 | https://bio.tools/meme_suite | http://meme.sdsc.edu/meme4_6_1/intro.html, http://meme.nbcr.net/meme/, https://sources.debian.org/src/meme/ | SCR_001783 | The MEME Suite | 2026-02-16 09:45:37 | 2091 | |||
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AStalavista Resource Report Resource Website 50+ mentions |
AStalavista (RRID:SCR_001815) | AStalavista | data analysis service, analysis service resource, software resource, production service resource, service resource | Tool that extracts and displays alternative splicing (AS) events from a given genomic annotation of exon-intron gene coordinates. By comparing all given transcripts, it detects the variations in their splicing structure and identifies all AS events (like exon skipping, alternate donor, etc) by assigning to each of them an AS code. It provides a visual summary of the AS landscape in the analyzed dataset, the possibility to browse the results on the UCSC website or to download them in GTF or ASTA format. You can use AStalavista for any genome by providing your own annotation set, the identifier of your gene(s) of interest, or analyze the AS landscape of reference annotation datasets like Gencode, RefSeq, Ensembl, FlyBase, etc. | alternative splicing event, alternative splicing, visualization, genome, transcript |
is listed by: OMICtools is listed by: SoftCite has parent organization: Center for Genomic Regulation; Barcelona; Spain |
PMID:17485470 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01943 | http://genome.imim.es/astalavista http://genome.crg.es/astalavista/ |
SCR_001815 | Alternative Splicing transcriptional landscape visualization tool | 2026-02-16 09:45:36 | 83 | |||||
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Gene Index Project Resource Report Resource Website 100+ mentions |
Gene Index Project (RRID:SCR_002148) | TGI, DFCI TGI | software resource, database, topical portal, portal, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 19,2019.The goal of The Gene Index Project is to use the available Expressed Sequence Transcript (EST) and gene sequences, along with the reference genomes wherever available, to provide an inventory of likely genes and their variants and to annotate these with information regarding the functional roles played by these genes and their products. The promise of genome projects has been a complete catalog of genes in a wide range of organisms. While genome projects have been successful in providing reference genome sequences, the problem of finding genes and their variants in genomic sequence remains an ongoing challenge. TGI has created an inventory that contains genes and their variants together with description. In addition, this resource is attempting to use these catalogs to find links between genes and pathways in different species and to provide lists of features within completed genomes that can aid in the understanding of how gene expression is regulated. DATABASES *Eukaryotic Gene Orthologues (formerly known as TOGA - TIGR Orthologous Gene Alignment): Eukaryotic Gene Orthologues (EGO) at DFGI are generated by pair-wise comparison between the Tentative Consensus (TC) sequences that comprise the Dana Farber Gene Indices from individual organisms. The reciprocal pairs of the best match were clustered into individual groups and multiple sequence alignments were displayed for each group. *GeneChip Oncology Database (GCOD):Cancer gene expression database is a collection of publicly available microarray expression data on Affymetrix GeneChip Arrays related to human cancers. Currently only datasets with available raw data (Affymetrix .CEL files) are processed. All processed datasets were subjected to extensive manual curation, uniform processing and consistent quality control. You can browse the experiments in our collection, perform statistical analysis, and download processed data; or to search gene expression profiles using Entrez gene symbol, Unigene ID, or Affymetrix probeset ID. *Gene Indices: As of July 1, 2008, there are 111 publicly available gene indices. They are separated into 4 categories for better organization and easier access. Animal: 41, Plant: 45, Protist: 15, Fungal: 10 *Genomic Maps: Human, mouse, rat, chicken, drosophila melanogaster, zebrafish, mosquito, caenorhabditis elegans, Arabidopsis thaliana, rice, yeast, fission yeast Dana-Farber Cancer Institute (DFCI) Gene Indices Software Tools: *TGI Clustering tools (TGICL): a software system for fast clustering of large EST datasets. *GICL: this package contains the scripts and all the necessary pre-compiled binaries for 32bit Linux systems. *clview: an assembly file viewer. *SeqClean:a script for automated trimming and validation of ESTs or other DNA sequences by screening for various contaminants, low quality and low-complexity sequences. *cdbfasta/cdbyank: fast indexing/retrieval of fasta records from flat file databases. *DAS/XML Genomic Viewer The Genomic viewer borrows modules from http://www.biodas.org (lstein (at) cshl.org) & http://webreference.com. | functional, gene, genome, index, organism, pathway, product, role, sequence, species, transcript, variant, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Dana-Farber Cancer Institute |
DOE DBI-0552416 | PMID:7566098 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:tigr_gene_indices, nif-0000-20942 | https://bio.tools/tigr_gene_indices | SCR_002148 | DFCI Gene Index Project, Gene Index Project, DFCI | 2026-02-16 09:45:41 | 129 |
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