Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
RIKEN Omics Science Center Resource Report Resource Website |
RIKEN Omics Science Center (RRID:SCR_008241) | data or information resource, disease-related portal, portal, research forum portal, topical portal | Omics Science Center is aiming to develop a comprehensive system called Life Science Accelerator(LSA) for the advancement of omics research. The LSA is a comprehensive system consists of biological resources, human resources, technologies, know-how, and essential administrative ability. Ultimate goal of LSA is to support and accelerate the advancement in life science research. Omics is the comprehensive study of molecules in living organisms. The complete sequencing of genomes (the complete set of genes in an organism) has enabled rapid developments in the collection and analysis of various types of comprehensive molecular data such as transcriptomes (the complete set of gene expression data) and proteomes (the complete set of intracellular proteins). Fundamental omics research aims to link these omics data to molecular networks and pathways in order to advance the understanding of biological phenomena as systems at the molecular level. | expression, gene, genome, human, intracellular, life, living, model organisms and comparative genomics databases, molecule, omics, organism, pathway, protein, proteome, science, sequence, technology, transcriptome | is parent organization of: FANTOM DB | RIKEN Yokohama Institute Yokohama Research Promotion Division of Japan | nif-0000-21361 | SCR_008241 | RIKEN OSC | 2026-09-02 05:40:20 | 0 | ||||||||
|
FLJ Human cDNA Database Resource Report Resource Website |
FLJ Human cDNA Database (RRID:SCR_008253) | FLJ Human cDNA Database | analysis service resource, biomaterial analysis service, data or information resource, database, material analysis service, molecular neuroanatomy resource, production service resource, service resource | A human full-length cDNA sequence analysis database focused on mRNA varieties caused by variations of transcription start site (TSS) and splicing. Also available is ATGpr, a program for identifying the translational initiation codons in cDNA sequences. Data are derived from several full-length cDNA studies in Japan. Human gene number was estimated to be 20-25 thousand. However, the number of human mRNA varieties was predicted to be about 100 thousand. The varieties are thought to be caused by variations of TSS and splicing. In their previous human cDNA project, about 30 thousand of FLJ human full-length sequenced cDNAs were deposited to DDBJ/GenBank/EMBL, and they obtained about 1.4 million of 5''-end sequences (5''-EST) of FLJ full-length cDNAs from about 100 kinds of cDNA libraries consist of human tissues and cells constructed by oligo-capping method. The majority of the insert cDNA sizes were over 2 kb and the full-length rate of 5''-end was 90. And our FLJ cDNAs were covered about 80 of human genes. About 22 thousand of finished grades of full-length sequenced cDNAs were obtained in this project. The sequence analysis databases is focused on mRNA variations using human genome and cDNA sequences, FLJ full-length sequenced cDNAs, 5-ESTs of FLJ full-length cDNAs and other cDNA sequences described below. After those sequences were mapped onto the human genome sequences, clustering of the cDNA sequences were done based on the mapping results. | expressed sequence tag, cdna, cdna sequences, full-length cdna, genome, genome locus, mrna, mrna variations, oligo-capping, prediction, sequence analysis, splicing, transcription start site | nif-0000-22388 | SCR_008253 | 2026-09-02 05:40:19 | 0 | ||||||||||
|
IGB Resource Report Resource Website 100+ mentions |
IGB (RRID:SCR_011792) | IGB | software resource | An easy-to-use, highly customizable genome browser you can use to visualize and explore genomic data and annotations, including RNA-Seq, ChIP-Seq, tiling array data, and more. | genome, rna-seq, chip-seq, tiling array, browser |
is listed by: OMICtools has parent organization: University of North Carolina at Charlotte; North Carolina; USA |
PMID:19654113 | Free, Acknowledgement requested | OMICS_00916 | SCR_011792 | Integrated Genome Browser | 2026-09-02 05:40:47 | 354 | ||||||
|
SNVrap Resource Report Resource Website 1+ mentions |
SNVrap (RRID:SCR_010512) | analysis service resource, data access protocol, data analysis service, data or information resource, data set, production service resource, service resource, software resource, web service | The web portal provides comprehensive local database of human genome variants with a user-friendly web page that provides a one-stop annotating and funtonal prediction service which is both convenient and up-to-date. A query can be accepted as either a dbSNP Id or a chromosomal location and our system will instantly provide all the annotation information in an interactive LD panel. The system can also simultaneously prioritize this variant based on additive effect mode by corresponding annotation information and evaluate the variant effect that is then displayed in a prioritization tree. Furthermore, cohort sequencing continuously produces lots of un-annotated variants such as rare variants or de novo variants, and our system can even fit this data by accepting genomic coordinates (hg19) to offer maximal annotations. Main Functions Over 40 up-to-date annotation items for human single nucleotide variations; Functional prediction for different types of variants; Dynamic LD panel for both HapMap and 1000 Genomes Project populations; Prioritization score and tree viewer based on variant functional model. | genetic variant, prioritize, genome, chromosome, functional prediction, transcription factor-binding site, mirna, mirna target site, prediction, target site, transcription factor, binding site, statistics, trait/disease-associated snp, single nucleotide polymorphism | PMID:25308971 | nlx_158733 | http://jjwanglab.org/snvrap/snvrap/snvrap/quickrap | SCR_010512 | 2026-09-02 05:40:32 | 4 | |||||||||
|
TESS: Transcription Element Search System Resource Report Resource Website 100+ mentions |
TESS: Transcription Element Search System (RRID:SCR_010739) | TESS | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | TESS is a web tool for predicting transcription factor binding sites in DNA sequences. It can identify binding sites using site or consensus strings and positional weight matrices from the TRANSFAC, JASPAR, IMD, and our CBIL-GibbsMat database. You can use TESS to search a few of your own sequences or for user-defined CRMs genome-wide near genes throughout genomes of interest. Search for CRMs Genome-wide: TESS now has the ability to search whole genomes for user defined CRMs. Try a search in the AnGEL CRM Searches section of the navigation bar.. You can search for combinations of consensus site sequences and/or PWMs from TRANSFAC or JASPAR. Search DNA for Binding Sites: TESS also lets you search through your own sequence for TFBS. You can include your own site or consensus strings and/or weight matrices in the search. Use the Combined Search under ''Site Searches'' in the menu or use the box for a quick search. TESS assigns a TESS job number to all sequence search jobs. The job results are stored on our server for a period of time specified in the search submit form. During this time you may recall the search results using the form on this page. TESS can also email results to you as a tab-delimited file suitable for loading into a spreadsheet program. Query for Transcription Factor Info: TESS also has data browsing and querying capabilities to help you learn about the factors that were predicted to bind to your sequence. Use the Query TRANSFAC or Query Matrices links above or use the search interface provided from the home page. | transcription factor, dna sequence, genome, promoter, gene regulation, FASEB list | has parent organization: University of Pennsylvania; Philadelphia; USA | PMID:18428685 | nlx_97404 | http://www.pcbi.upenn.edu/tess | SCR_010739 | Transcription Element Search System | 2026-09-02 05:40:34 | 191 | ||||||
|
SVDetect Resource Report Resource Website 10+ mentions |
SVDetect (RRID:SCR_010812) | SVDetect | software resource | Software application for the isolation and the type prediction of intra- and inter-chromosomal rearrangements from paired-end/mate-pair sequencing data provided by the high-throughput sequencing technologies. This tool aims to identify structural variations with both clustering and sliding-window strategies, and helping in their visualization at the genome scale. It is compatible with SOLiD and Illumina (>=1.3) reads. | structural variation, sequencing, chromosomal rearrangement, high-throughput sequencing, solid, illumina, genome, insertion, deletion, inversion, duplication, translocation, command-line, perl, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SourceForge has parent organization: Curie Institute; Paris; France |
PMID:20639544 | GNU General Public License, v3 | OMICS_00324, biotools:svdetect | https://bio.tools/svdetect | SCR_010812 | SVDetect: a tool to detect genomic structural variations from paired-end and mate-pair sequencing data | 2026-09-02 05:40:35 | 24 | |||||
|
BWA Resource Report Resource Website 1000+ mentions |
BWA (RRID:SCR_010910) | BWA | alignment software, data analysis software, data processing software, image analysis software, sequence analysis software, software application, software resource | Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp. | sequence, alignment, reference, genome, human, short, long, read, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: shovill is related to: Proovread is related to: BWA-MEM2 has parent organization: SourceForge is required by: RelocaTE |
PMID:19451168 PMID:20080505 DOI:10.1093/bioinformatics/btp324 |
Free, Available for download, Freely available | SCR_015853, biotools:bwa-sw, OMICS_00654 | https://sourceforge.net/projects/bio-bwa/files/, https://bio.tools/bwa-sw, https://sources.debian.org/src/bwa/ | SCR_010910 | Burrows-Wheeler Aligner (BWA), Burrows-Wheeler Aligner | 2026-09-02 05:40:36 | 2638 | |||||
|
Antibiotic Resistance Genes Database Resource Report Resource Website 100+ mentions |
Antibiotic Resistance Genes Database (RRID:SCR_007040) | data computation service, data or information resource, database | The goals of Antibiotic Resistance Genes Database (ARGB) are to provide a centralized compendium of information on antibiotic resistance, to facilitate the consistent annotation of resistance information in newly sequenced organisms, and also to facilitate the identification and characterization of new genes. ARGB contains six types of database groups: - Resistance Type: This database contains information, such as resistance profile, mechanism, requirement, epidemiology for each type. - Resistance Gene: This database contains information, such as resistance profile, resistance type, requirement, protein and DNA sequence for each gene.This database only includes NON-REDUNDANT, NON-VECTOR, COMPLETE genes. - Antibiotic: This database contains information, such as producer, action mechanism, resistance type, for each gene. - Resistance Gene(NonRD): This database contains the same information as Resistance Gene. It does NOT include NON-REDUNDANT, NON-VECTOR genes, but includes INCOMPLETE genes. - Resistance Gene(ALL): This database contains the same information as Resistance Gene. It includes all REDUNDANT, VECTOR AND INCOMPLETE genes. - Resistance Species: This database contains resistance profile and corresponding resistance genes for each species. Furthermore, ARDB also contians three types BLAST database: - Resistance Genes Complete: Contains only NON-REDUNDANT, NON-VECTOR, COMPLETE genes sequences. - Resistance Genes Non-redundant: Contains NON-REDUNDANT, NON-VECTOR, COMPLETE, INCOMPLETE genes sequences. - Resistance Genes All: Contains all REDUNDANT, VECTOR, COMPLETE, INCOMPLETE genes sequences. Lastly, ARDB provides four types of Analytical tools: - Normal BLAST: This function allows an user to input a DNA or protein sequence, and find similar DNA (Nucleotide BLAST) or protein (Protein BLAST) sequences using blastn, blastp, blastx, tblastn, tblastx - RPS BLAST: A web RPSBLAST (RPS BLAST) interface is provided to align a query sequence against the Position Specific Scoring Matrix (PSSM) for each type. Normally, this will give the same annotation information as using regular BLAST mentioned above. - Multiple Sequences BLAST (Genome Annotation): This function allows an user to annotate multiple (less than 5000) query sequences in FASTA format. - Mutation Resistance Identification: This function allows an user to identify mutations that will cause potential antibiotic resistance, for 12 genes (16S rRNA, 23S rRNA, gyrA, gyrB, parC, parE, rpoB, katG, pncA, embB, folP, dfr). ������ :Sponsors: ARDB is funded by Uniformed Services University of the Health Sciences, administered by the Henry Jackson Foundation. : | genome, antibiotic, antibiotic resistance gene, dna, metagenome, mutation resistance, prokaryotic genomic database, protein, FASEB list | has parent organization: University of Maryland; Maryland; USA | nif-0000-02565 | SCR_007040 | ARDB | 2026-09-02 05:40:05 | 124 | |||||||||
|
GtRNAdb - Genomic tRNA Database Resource Report Resource Website 100+ mentions |
GtRNAdb - Genomic tRNA Database (RRID:SCR_006939) | GtRNAdb | analysis service resource, data analysis service, data or information resource, database, production service resource, 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 | 2026-09-02 05:40:09 | 381 | ||||||
|
Mouse Genome Databases Resource Report Resource Website 1+ mentions |
Mouse Genome Databases (RRID:SCR_007147) | MGD | data or information resource, data set, database, organism-related portal, portal, 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 is organization facet of: Alliance of Genome Resources |
nif-0000-20982 | SCR_007147 | 2026-09-02 05:40:06 | 2 | |||||||||
|
Tetraodon Genome Browser Resource Report Resource Website 1+ mentions |
Tetraodon Genome Browser (RRID:SCR_007079) | data or information resource, database, portal, topical 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 | 2026-09-02 05:40:06 | 8 | ||||||||||
|
Chromosome 7 Annotation Project Resource Report Resource Website 10+ mentions |
Chromosome 7 Annotation Project (RRID:SCR_007134) | Chromosome 7 Annotation Project | data or information resource, data repository, database, service resource, storage service 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 | 2026-09-02 05:40:05 | 13 | |||||
|
Center for Inherited Disease Research Resource Report Resource Website 100+ mentions |
Center for Inherited Disease Research (RRID:SCR_007339) | CIDR | analysis service resource, biomaterial analysis service, data computation service, material analysis service, production service resource, resource, service resource, training service resource | Next generation sequencing and genotyping services provided to investigators working to discover genes that contribute to disease. On-site statistical geneticists provide insight into analysis issues as they relate to study design, data production and quality control. In addition, CIDR has a consulting agreement with the University of Washington Genetics Coordinating Center (GCC) to provide statistical and analytical support, most predominantly in the areas of GWAS data cleaning and methods development. Completed studies encompass over 175 phenotypes across 530 projects and 620,000 samples. The impact is evidenced by over 380 peer-reviewed papers published in 100 journals. Three pathways exist to access the CIDR genotyping facility: * NIH CIDR Program: The CIDR contract is funded by 14 NIH Institutes and provides genotyping and statistical genetic services to investigators approved for access through competitive peer review. An application is required for projects supported by the NIH CIDR Program. * The HTS Facility: The High Throughput Sequencing Facility, part of the Johns Hopkins Genetic Resources Core Facility, provides next generation sequencing services to internal JHU investigators and external scientists on a fee-for-service basis. * The JHU SNP Center: The SNP Center, part of the Johns Hopkins Genetic Resources Core Facility, provides genotyping to internal JHU investigators and external scientists on a fee-for-service basis. Data computation service is included to cover the statistical genetics services provided for investigators seeking to identify genes that contribute to human disease. Human Genotyping Services include SNP Genome Wide Association Studies, SNP Linkage Scans, Custom SNP Studies, Cancer Panel, MHC Panels, and Methylation Profiling. Mouse Genotyping Services include SNP Scans and Custom SNP Studies. | gene, genome, array, custom, dna, genome wide association study, genotyping, genotyping service, linkage scan, methylation profiling, hereditary disease, single gene disorder, snp, statistical genetics, whole genome, whole exome, exome sequencing, high throughput sequencing, single nucleotide polymorphism, sequencing, disease |
is listed by: NIDDK Information Network (dkNET) has parent organization: Johns Hopkins University; Maryland; USA |
Aging | NHGRI ; NCI ; NEI ; NIA ; NIAAA ; NIAMS ; NICHD ; NIDA ; NIDCD ; NIDCR ; NIDDK ; NIEHS ; NIMH ; NINDS ; NHGRI N01-HG-65403; US Department of Health and Human Services HHSN268200782096C; S Department of Health and Human Services HHSN268201100011I; S Department of Health and Human Services HHSN268201200008I; NHGRI U01HG004438; NHGRI U54HG006542 |
nif-0000-00223 | SCR_007339 | CIDR - Center for Inherited Disease Research | 2026-09-02 05:40:09 | 207 | ||||||
|
Distributed Annotation System Resource Report Resource Website 10+ mentions |
Distributed Annotation System (RRID:SCR_008427) | data or information resource, narrative resource, software resource, standard specification | The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center. | annotation, database, software, genomic, protein, sequence, visualization, data, client-server, integration, bioinformatics, genome, structure, data integration |
is listed by: 3DVC has parent organization: Uppsala University; Uppsala; Sweden |
Howard Hughes Medical Institute ; NHGRI 2-P01-HG00956 |
nif-0000-30177 | SCR_008427 | BioDAS | 2026-09-02 05:40:22 | 11 | ||||||||
|
CGEMS Resource Report Resource Website 10+ mentions |
CGEMS (RRID:SCR_008445) | CGEMS | data or information resource, portal, topical portal | The project began as a pilot study to identify inherited genetic susceptibility to prostate and breast cancer. CGEMS has developed into a robust research program involving genome-wide association studies (GWASs) for a number of cancers to identify common genetic variants that affect a person''s risk of developing cancer. In collaboration with extramural scientists, NCI''s Division of Cancer Epidemiology and Genetics (DCEG) has carried out genome-wide scans for breast, prostate, pancreatic, and lung cancers, while a GWAS of bladder cancer is currently underway. By making the data available to both intramural and extramural research scientists, as well as those in the private sector through rapid posting, NIH can leverage its resources to ensure that the dramatic advances in genomics are incorporated into rigorous population-based studies. Ultimately, findings from these studies may yield new preventive, diagnostic, and therapeutic interventions for cancer. Sponsors: This resource is supported by the U.S. National Institues Of Health. | cancer, genetic, marker, prostate, breast, research, genome, association, development, scientist, pancreatic, lung, bladder, science, genomics, population, study, theraphy, diagnosis |
has parent organization: National Cancer Institute has parent organization: National Cancer Institute |
nif-0000-30287 | SCR_008445 | The Cancer Genetic Markers of Susceptibility Project, Cancer Genetic Markers of Susceptibility, The Cancer Genetic Markers of Susceptibility | 2026-09-02 05:40:23 | 28 | ||||||||
|
LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-09-02 05:40:27 | 23 | |||||
|
GWAS: Catalog of Published Genome-Wide Association Studies Resource Report Resource Website 500+ mentions |
GWAS: Catalog of Published Genome-Wide Association Studies (RRID:SCR_012745) | GWASC | catalog, data or information resource, database | Catalog of published genome-wide association studies. Genome-wide set of genetic variants in different individuals to see if any variant is associated with trait and disease. Database of genome-wide association study (GWAS) publications including only those attempting to assay single nucleotide polymorphisms (SNPs). Publications are organized from most to least recent date of publication. Studies are identified through weekly PubMed literature searches, daily NIH-distributed compilations of news and media reports, and occasional comparisons with an existing database of GWAS literature (HuGE Navigator). Works with HANCESTRO ancestry representation. | gene-wide association study, adult, genome, genome-wide association study, single nucleotide polymorphism, publication, literature, phenotype, trait, disease, loci, genetic variant, disorder, snp trait association |
is used by: NIF Data Federation is used by: Schizo-Pi is related to: PheWAS Catalog is related to: Psychiatric Genomics Consortium is related to: KOBAS has parent organization: National Human Genome Research Institute |
BBSRC ; NHGRI U24 HG012542; NHGRI U41 HG007823 |
PMID:19474294 | Free, Freely available | nif-0000-06666, r3d100014209 | http://www.genome.gov/gwastudies | SCR_012745 | A Catalog of Published Genome-Wide Association Studies, Catalog of Published GWAS, Catalog of published GWAS studies, NHGRI GWAS Catalog, Catalog of Published Genome-Wide Association Studies, GWAS and PGS Catalogs | 2026-09-02 05:41:01 | 899 | ||||
|
KEGG Resource Report Resource Website 10000+ mentions |
KEGG (RRID:SCR_012773) | KEGG | analysis service resource, data access protocol, data analysis service, data or information resource, database, portal, production service resource, service resource, software resource, topical portal, web service | Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies. | model, pathway, functional hierarchy, module, cancer, disease, drug, drug classification, orthology, ortholog, genome, gene, protein, compound, classification, biochemical reaction, pathway, ligand, biosynthesis, pathway prediction, sequence, chemical structure, human, enzyme, database, molecular interaction, metabolism, metabolomics, cellular process, structure, drug development, reaction, cell |
is used by: NIF Data Federation is used by: Arabidopsis Reactome is used by: LIPID MAPS Proteome Database is used by: globaltest is used by: MitoMiner is used by: Database for Annotation Visualization and Integrated Discovery is used by: Biochemical Pathways Reaction Kinetics Database is used by: Ultimate Rough Aggregation of Metabolic Map is used by: GEMINI is used by: In vivo - In silico Metabolite Database is listed by: 3DVC is listed by: OMICtools is affiliated with: Kyoto Encyclopedia of Genes and Genomes Expression Database is related to: PathCase Pathways Database System is related to: ExplorEnz is related to: NCBI BioSystems Database is related to: Allen Institute Neurowiki is related to: eQuilibrator is related to: GeneTrail is related to: KegTools is related to: PRODORIC is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: METLIN is related to: Kidney and Urinary Pathway Knowledge Base is related to: DAVID is related to: ConsensusPathDB is related to: ENZYME is related to: FlyMine is related to: Babelomics is related to: SynSysNet is related to: Cotton EST Database is related to: Integrated Molecular Interaction Database is related to: SEGS is related to: INMEX is related to: BioExtract is related to: ClueGO is related to: MalaCards is related to: TrED is related to: FunTree is related to: MOPED - Model Organism Protein Expression Database is related to: ProOpDB is related to: KOBAS is related to: GeneTerm Linker is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: GeneCodis is related to: FunNet - Transcriptional Networks Analysis is related to: LegumeIP is related to: Algal Functional Annotation Tool is related to: aGEM is related to: DINIES is related to: KEGG PATHWAY Database is related to: ShinyGO is related to: KEGGREST has parent organization: Kyoto University; Kyoto; Japan has parent organization: University of Tokyo; Tokyo; Japan is parent organization of: KegTools works with: DIANA-mirPath works with: MiMeDB |
Japan Science and Technology Agency ; Japanese Ministry of Education Culture Sports Science and Technology MEXT |
PMID:22700311 PMID:22130871 PMID:22080510 PMID:19880382 PMID:19172790 PMID:18428742 PMID:18287706 PMID:18077471 PMID:16381885 PMID:16014746 PMID:14681412 PMID:12539951 PMID:11752249 PMID:10928937 PMID:10592173 PMID:9847135 |
Restricted | nlx_31015, OMICS_01583, OMICS_03010, OMICS_01582, OMICS_03974, OMICS_05434, OMICS_05360 | http://www.genome.jp/kegg/ | SCR_012773 | KEGG - Kyoto Encyclopedia of Genes and Genomes, Kyoto Encyclopedia of Genes and Genomes | 2026-09-02 05:41:02 | 81488 | ||||
|
IMGT - the international ImMunoGeneTics information system Resource Report Resource Website 500+ mentions |
IMGT - the international ImMunoGeneTics information system (RRID:SCR_012780) | IMGT | analysis service resource, data analysis service, data or information resource, database, portal, production service resource, service resource, topical portal | A high-quality integrated knowledge resource specialized in the immunoglobulins (IG) or antibodies, T cell receptors (TR), major histocompatibility complex (MHC) of human and other vertebrate species, and in the immunoglobulin superfamily (IgSF), MHC superfamily (MhcSF) and related proteins of the immune system (RPI) of vertebrates and invertebrates, serving as the global reference in immunogenetics and immunoinformatics. IMGT provides a common access to sequence, genome and structure Immunogenetics data, based on the concepts of IMGT-ONTOLOGY and on the IMGT Scientific chart rules. IMGT works in close collaboration with EBI (Europe), DDBJ (Japan) and NCBI (USA). IMGT consists of sequence databases, genome database, structure database, and monoclonal antibodies database, Web resources and interactive tools. | immunogenetics, immunoinformatics, immunoglobulin, antibody, t cell receptor, major histocompatibility complex, immunoglobulin superfamily, major histocompatibility complex superfamily, protein, immune system, sequence, genome, structure, monoclonal antibody, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: IMGT Repertoire has parent organization: Montpellier 2 University; Montpellier; France is parent organization of: IMGT/LIGM-DB is parent organization of: IMGT/GENE-DB is parent organization of: IMGT-ONTOLOGY is parent organization of: IMGT/V-QUEST is parent organization of: IMGT/HLA |
CNRS ; MESR ; Reseau National des Genopoles ; Region Languedoc-Roussillon ; European Union BIOMED1 BIOCT930038; European Union Biotechnology BIOTECH2 BIO4CT960037; European Union 5th PCRDT Quality of Life and Management of Living Resources QLG2-2000-01287; Agence Nationale de la recherche ANR BIOSYS06_135457; EU ImmunoGrid IST-028069 |
PMID:18978023 | nif-0000-03011, biotools:imgt | https://bio.tools/imgt | http://imgt.cines.fr | SCR_012780 | ImMunoGeneTics Information System, IMGT/LIGM, ImMunoGeneTics | 2026-09-02 05:41:02 | 779 | ||||
|
Flash Gviewer Resource Report Resource Website 1+ mentions |
Flash Gviewer (RRID:SCR_012870) | Flash GViewer | software resource | Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool | visualization, chromosome, video, gene, qtl, genome, navitgation, phenotype, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Medical College of Wisconsin; Wisconsin; USA |
Free for academic use | nlx_149333 | http://gmod.org/flashgviewer | SCR_012870 | 2026-09-02 05:41:02 | 2 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
