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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Database of Immune Cell Epigenomes Resource Report Resource Website 50+ mentions |
Database of Immune Cell Epigenomes (RRID:SCR_018259) | DICE | database, software resource, data access protocol, web service, data or information resource | Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics. Collection of identified cis-eQTLs for 12,254 unique genes, which represent 61% of all protein-coding genes expressed in human cell types. Datasets to help reveal effects of disease risk associated genetic polymorphisms on specific immune cell types, providing mechanistic insights into how they might influence pathogenesis. | Data set, immune cell expression, expression quantitative trait loci, epigenomics, data, cis-eQLC, gene, protein coding gene, human cell type, genetic polymorphism disease, immune cell, pathogenesis | has parent organization: La Jolla Institute for Immunology | William K. Bowes Jr Foundation ; NIAID R24 AI108564; NCRR S10 RR027366; NIH Office of the Director S10 OD016262 |
PMID:30449622 | Free, Freely available | SCR_018259 | Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics | 2026-02-15 09:22:19 | 59 | ||||||
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Track-A-Worm Resource Report Resource Website 1+ mentions |
Track-A-Worm (RRID:SCR_018299) | software application, data processing software, data analysis software, software resource | Open source system for quantitative assessment of C. Elegans locomotory and bending behavior. Used for quantitative behavioral analyses to understand circuit and gene bases of behavior. Constantly records and analyzes position and body shape of freely moving worm at high magnification. | Quantitative assessment, C.Elegans locomotory, bending behavior, behavioral analysis, gene, moving worm position, body shape, automated recording | is related to: University of Connecticut; Connecticut; USA | NIGMS R01 GM083049; NIMH R01 MH085927 |
PMID:23922769 | Free, Available for download, Freely available | SCR_018299 | Tracker-A-Worm version 1.0, Tracker-A-Worm version 2.0 | 2026-02-15 09:22:12 | 3 | |||||||
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Codon Usage Analyzer Resource Report Resource Website |
Codon Usage Analyzer (RRID:SCR_018500) | Bio::CUA, Bio-CUA | software application, data processing software, data analysis software, software resource | Software tool as flexible and comprehensive codon usage analyzer. Used to analyze codon usage bias (CUB) and relevant problems. | Codon usage analyzer, codon, codon usage bias, genome, gene, codon, sequence | has parent organization: University of Rochester; New York; USA | David and Lucile Packard Foundation ; University of Rochester |
DOI:10.1101/022814 | Free, Freely available | https://metacpan.org/release/Bio-CUA | SCR_018500 | 2026-02-15 09:21:38 | 0 | ||||||
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Human Genetics Laboratory: WFS1 Gene Mutation and Polymorphism Database Resource Report Resource Website 1+ mentions |
Human Genetics Laboratory: WFS1 Gene Mutation and Polymorphism Database (RRID:SCR_001113) | database, service resource, storage service resource, data repository, data or information resource | This web site lists the disease causing mutations and polymorphisms found in the Wolfram syndrome (WFS1) gene. Sponsors: This resource is supported by the University of Michigan at Ann Arbor. | frequency, gene, auditory, disease, hearing, neuropathy, polymorphism, research, wolfram syndrome | has parent organization: University of Michigan; Ann Arbor; USA | nif-0000-10276 | SCR_001113 | WFS1 | 2026-02-15 09:18:03 | 3 | |||||||||
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ToppCluster Resource Report Resource Website 100+ mentions |
ToppCluster (RRID:SCR_001503) | ToppCluster | data analysis service, service resource, production service resource, analysis service resource, resource | A tool for performing multi-cluster gene functional enrichment analyses on large scale data (microarray experiments with many time-points, cell-types, tissue-types, etc.). It facilitates co-analysis of multiple gene lists and yields as output a rich functional map showing the shared and list-specific functional features. The output can be visualized in tabular, heatmap or network formats using built-in options as well as third-party software. It uses the hypergeometric test to obtain functional enrichment achieved via the gene list enrichment analysis option available in ToppGene. | term enrichment, gene, analysis, gene enrichment analysis, connectivity, heatmap, ortholog, microarray, function, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GenitoUrinary Development Molecular Anatomy Project is related to: ToppGene Suite |
NIDDK 1U01DK70219; NIDDK P30DK078392; NCRR U54 RR025216; NIDCR U01DE020049 |
PMID:20484371 | Free | OMICS_02225, nlx_152801, biotools:toppcluster | https://bio.tools/toppcluster | SCR_001503 | ToppCluster: A multiple gene list feature analyzer for the dissection of biological systems | 2026-02-15 09:18:07 | 144 | ||||
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FACTA+. Resource Report Resource Website 1+ mentions |
FACTA+. (RRID:SCR_001767) | FACTA+ | web service, data access protocol, service resource, software resource | Text mining tool to discover associations between biomedical concepts from MEDLINE articles. Use the service from your browser or via a Web Service. The whole MEDLINE corpus containing more than 20 million articles is indexed with an efficient text search engine, and it allows you to navigate such associations and their textual evidence in a highly interactive manner - the system accepts arbitrary query terms and displays relevant concepts immediately. A broad range of important biomedical concepts are covered by the combination of a machine learning-based term recognizer and large-scale dictionaries for genes, proteins, diseases, and chemical compounds. There is also a FACTA+ visualization service that can be found here: http://www.nactem.ac.uk/facta-visualizer/ | text mining, gene, protein, disease, symptom, drug, enzyme, compound, biomedical, association, machine learning, chemical, text-mining software, bio.tools |
is listed by: OMICtools is listed by: FORCE11 is listed by: bio.tools is listed by: Debian is related to: MEDLINE has parent organization: National Centre for Text Mining |
JISC | PMID:18772154 | Free, Freely available | biotools:facta_plus, nif-0000-10272, OMICS_01181 | http://refine1-nactem.mc.man.ac.uk/facta/ https://bio.tools/facta_plus |
SCR_001767 | Finding Associated Concepts with Text Analysis | 2026-02-15 09:18:10 | 2 | ||||
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SNPeffect Resource Report Resource Website 50+ mentions |
SNPeffect (RRID:SCR_005091) | SNPeffect | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, phenotyping, mutation, protein-coding variant, molecule, structure, phenotype, non-synonymous coding snp, allelic variation, gene, protein stability, functional site, protein phosphorylation, glycosylation, subcellular localization, protein turnover, protein aggregation, amyloidosis, chaperone interaction, protein variant, FASEB list |
is listed by: OMICtools has parent organization: Catholic University of Leuven; Flemish Brabant; Belgium |
PMID:22075996 PMID:18086700 PMID:16809394 PMID:15608254 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00187, nif-0000-03480 | http://snpeffect.switchlab.org/ | SCR_005091 | SNPeffect 4 Phenotyping Human Mutations | 2026-02-15 09:18:54 | 59 | |||||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | data analysis service, database, service resource, storage service resource, data repository, production service resource, data or information resource, analysis service resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA R01 AA18776 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/ https://doi.org/10.17616/R3248T |
SCR_003009 | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-02-15 09:18:25 | 34 | |||||
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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 visualization software, data processing 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 | 2026-02-15 09:18:15 | 0 | ||||||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | topical portal, data or information resource, database, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | UKSGMP | 2026-02-15 09:18:16 | 1 | |||||||||
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VMD Resource Report Resource Website 1+ mentions |
VMD (RRID:SCR_004905) | PAMGO_VMD, VMD | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Database covering a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at Virginia Bioinformatics Institute. The data comes from different sources and has genomes of 3 oomycetes pathogens: Phytophthora sojae, Phytophthora ramorum and Hyaloperonospora arabidopsidis. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. Two different statistical methods were used to validate these gene models, Fickett''''s and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum could be assigned. An easy-to-use genome browser was created to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. | microbial genome sequence, genome, genome sequence, genome model, gene, image, oomycete, fungus, bacteria, phytophthora sojae, phytophthora ramorum, hyaloperonospora arabidopsidis, plant |
is used by: NIF Data Federation is related to: AmiGO has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
USDA Cooperative State Research Education and Extension Service 2002-35600-12747; USDA Cooperative State Research Education and Extension Service 2004-35600-15055; NSF MCB-0242131; NSF EF-0412213; NSF DBI-0211863 |
PMID:16381891 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_87328 | http://phytophthora.vbi.vt.edu | SCR_004905 | VBI Microbial Database, Virginia Bioinformatics Institute Microbial Database | 2026-02-15 09:18:57 | 8 | ||||
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VIRsiRNAdb Resource Report Resource Website 1+ mentions |
VIRsiRNAdb (RRID:SCR_006108) | VIRsiRNAdb | data analysis service, database, service resource, storage service resource, production service resource, data repository, data or information resource, analysis service resource | VIRsiRNAdb is a curated database of experimentally validated viral siRNA / shRNA targeting diverse genes of 42 important human viruses including influenza, SARS and Hepatitis viruses. Submissions are welcome. Currently, the database provides detailed experimental information of 1358 siRNA/shRNA which includes siRNA sequence, virus subtype, target gene, GenBank accession, design algorithm, cell type, test object, test method and efficacy (mostly quantitative efficacies). Further, wherever available, information regarding alternative efficacies of above 300 siRNAs derived from different assays has also been incorporated. The database has facilities like search, advance search (using Boolean operators AND, OR) browsing (with data sorting option), internal linking and external linking to other databases (Pubmed, Genbank, ICTV). Additionally useful siRNA analysis tools are also provided e.g. siTarAlign for aligning the siRNA sequence with reference viral genomes or user defined sequences. virsiRNAdb would prove useful for RNAi researchers especially in siRNA based antiviral therapeutics development. | virus, sirna, shrna, gene, influenza, sars, hepatitis, sirna sequence, virus subtype, target gene, genbank accession, design algorithm, cell type, efficacy, target genome region, target object, experimental assay, off-target, sirna matching, reference viral sequence, influenza virus, hepatitis b virus, hpv, sars corona virus, viral genome, reference genome, align, sirna sequence, fasta, blast, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Institute of Microbial Technology; Chandigarh; India |
Influenza, SARS, Hepatitis, Infectious disease | Council of Scientific and Industrial Research; New Delhi; India | PMID:22139916 | Open unspecified license / Freely available | nlx_151610, biotools:virsirnadb | https://bio.tools/virsirnadb | SCR_006108 | VIRsiRNAdb - Database of Viral siRNA / shRNA, Viral siRNA Database, Viral siRNA Database (VIRsiRNAdb) | 2026-02-15 09:19:08 | 4 | |||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | data analysis service, database, ontology, service resource, storage service resource, production service resource, data repository, data or information resource, controlled vocabulary, analysis service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase https://doi.org/10.17616/R3S032 |
SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-02-15 09:19:01 | 646 | ||||
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Generic GO Term Mapper Resource Report Resource Website 10+ mentions |
Generic GO Term Mapper (RRID:SCR_005806) | GOTermMapper, GO Term Mapper | software application, data analysis service, software resource, data processing software, service resource, production service resource, analysis service resource | The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, gene association, slim ontology, slimmer-type tool, term enrichment, gene annotation, genomics, ontology, process, function, component, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA |
Free for academic use | nlx_149294, biotools:go_term_mapper | https://bio.tools/go_term_mapper | SCR_005806 | Generic Gene Ontology Term Mapper, Generic Gene Ontology (GO) Term Mapper | 2026-02-15 09:19:03 | 44 | ||||||
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ChEA Resource Report Resource Website 100+ mentions |
ChEA (RRID:SCR_005403) | ChEA | software application, data analysis service, database, software resource, service resource, production service resource, data or information resource, analysis service resource | Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes. | chip, transcription factor, interaction, mrna expression, gene, target gene, command-line, chip-chip, chip-seq |
is listed by: OMICtools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:20709693 | OMICS_00526 | SCR_005403 | ChIP Enrichment Analysis | 2026-02-15 09:18:58 | 256 | |||||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1 https://bio.tools/source |
SCR_005799 | 2026-02-15 09:19:04 | 69 | |||||
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Gene Class Expression Resource Report Resource Website 1+ mentions |
Gene Class Expression (RRID:SCR_005679) | Gene Class | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. Gene Class Expression allows functional annotation of SAGE data using the Gene Ontology database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing. Platform: Online tool | serial analysis of gene expression, functional annotation, annotation, gene expression, tag classification, gene ontology, gene, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Sao Paulo; Sao Paulo; Brazil |
Center for Cell-Based Therapy/FAPESP ; CNPq |
PMID:16755502 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149119 | http://gdm.fmrp.usp.br/cgi-bin/gc/upload/upload.pl | SCR_005679 | GC Browser, Gene Classification Browser Tool, Gene Class expression: analysis tool of Gene Ontology terms with gene expression data | 2026-02-15 09:19:09 | 1 | ||||
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Onto-Compare Resource Report Resource Website 1+ mentions |
Onto-Compare (RRID:SCR_005669) | Onto-Compare | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Microarrays are at the center of a revolution in biotechnology, allowing researchers to screen tens of thousands of genes simultaneously. Typically, they have been used in exploratory research to help formulate hypotheses. In most cases, this phase is followed by a more focused, hypothesis driven stage in which certain specific biological processes and pathways are thought to be involved. Since a single biological process can still involve hundreds of genes, microarrays are still the preferred approach as proven by the availability of focused arrays from several manufacturers. Since focused arrays from different manufacturers use different sets of genes, each array will represent any given regulatory pathway to a different extent. We argue that a functional analysis of the arrays available should be the most important criterion used in the array selection. We developed Onto-Compare as a database that can provide this functionality, based on the GO nomenclature. Compare commercially available microarrays based on GO. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, data-mining, browser, visualization, analysis, compare, search engine, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, other analysis, compare commercially available microarrays based on go |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:12664686 PMID:15215428 |
Free for academic use | nlx_149108 | SCR_005669 | 2026-02-15 09:19:01 | 1 | |||||||
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Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology Resource Report Resource Website 1000+ mentions |
Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) | software application, data processing software, database, software resource, data acquisition software, data or information resource | Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013. | function, gene, bioinformatics, data, database, human, meta search engine, prediction, protein, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Karlsruhe Institute of Technology; Karlsruhe; Germany |
biotools:harvester, nif-0000-10169 | https://bio.tools/harvester | SCR_008017 | Harvester IV | 2026-02-15 09:19:41 | 1480 | ||||||||
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Pathbase Resource Report Resource Website 10+ mentions |
Pathbase (RRID:SCR_006141) | Pathbase | ontology, database, software resource, data access protocol, web service, service resource, storage service resource, data repository, data or information resource, image collection, controlled vocabulary, image repository | Database of histopathology photomicrographs and macroscopic images derived from mutant or genetically manipulated mice. The database currently holds more than 1000 images of lesions from mutant mice and their inbred backgrounds and further images are being added continuously. Images can be retrieved by searching for specific lesions or class of lesion, by genetic locus, or by a wide set of parameters shown on the Advanced Search Interface. Its two key aims are: * To provide a searchable database of histopathology images derived from experimental manipulation of the mouse genome or experiments conducted on genetically manipulated mice. * A reference / didactic resource covering all aspects of mouse pathology Lesions are described according to the Pathbase pathology ontology developed by the Pathbase European Consortium, and are available at the site or on the Gene Ontology Consortium site - OBO. As this is a community resource, they encourage everyone to upload their own images, contribute comments to images and send them their feedback. Please feel free to use any of the SOAP/WSDL web services. (under development) | histopathology, photomicrograph, macroscopic, mutant, genetically manipulated, pathology, transgenic, rodent, mpath ontology, mouse pathology ontology, skinbase, genotype, skin, gene, tissue, hair, mutant mouse strain, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: University of Cambridge; Cambridge; United Kingdom is parent organization of: Mouse Pathology Ontology |
Lesion, Mutant mouse strain, Inbred mouse strain | North American Hair Research Society ; Ellison Medical Foundation ; European Union QLRI-1999-00320; European Union LSHG-CT-2006-037188; NCI CA089713; NCRR RR17436; NIH AR49288 |
PMID:20587689 PMID:15623888 PMID:14681470 |
Except where otherwise noted, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 Unported, Images on the database remain the property of the persons generously allowing their images to be used and are acknowledged within each record. Images should not be modified, Reproduced or disseminated without the express permission of the submitter. | biotools:pathbase, nlx_151637 | https://bio.tools/pathbase | SCR_006141 | Pathbase - European mutant mouse pathology database | 2026-02-15 09:19:09 | 11 |
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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.
