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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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FunDO Resource Report Resource Website 10+ mentions |
FunDO (RRID:SCR_001725) | FunDO | data analysis service, production service resource, analysis service resource, service resource | Tool that takes a list of genes and finds relevant diseases based on statistical analysis of the Disease Ontology annotation database. It accepts Entrez gene ids or gene symbols, separated by tabs, newlines, or commas. This list of genes can be obtained by microarray, proteomics, sequencing or other high-throughput screening methods. | gene, disease, ontology, function |
is related to: KOBAS is related to: Human Disease Ontology has parent organization: Northwestern University; Illinois; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10225 | SCR_001725 | FunDO - Exploring Genes Using Functional Disease Ontology Annotations | 2026-02-17 09:59:42 | 11 | |||||||
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HOMOZYGOSITYMAPPER Resource Report Resource Website 100+ mentions |
HOMOZYGOSITYMAPPER (RRID:SCR_001714) | HomozygosityMapper | data analysis service, production service resource, analysis service resource, service resource | A web-based approach of homozygosity mapping that can handle tens of thousands markers. User can upload their own SNP genotype files to the database. Intuitive graphic interface is provided to view the homozygous stretches, with the ability of zooming into single chromosomes or user-defined chromosome regions. The underlying genotypes in all samples are displayed. The software is also integrated with our candidate gene search engine, GeneDistiller, so that users can interactively determine the most promising gene. (entry from Genetic Analysis Software) | gene, genetic, genomic, perl, genotype, homozygosity score, homozygosity, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
PMID:19465395 | Free, Freely Available | nlx_154069, biotools:homozygositymapper, OMICS_00123 | https://bio.tools/homozygositymapper | SCR_001714 | 2026-02-17 09:59:41 | 121 | ||||||
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MADELINE Resource Report Resource Website 1+ mentions |
MADELINE (RRID:SCR_001979) | MADELINE | software application, software resource, service resource | Software tool designed for preparing, visualizing, and exploring human pedigree data used in genetic linkage studies. It converts pedigree and marker data into formats required by popular linkage analysis packages, provides powerful ways to query pedigree data sets, and produces Postscript pedigree drawings that are useful for rapid data review. | gene, genetic, genomic, c, unix, solaris, freebsd, openbsd, macos, ms-windows, cygwin, linux, pedigree, draw, linkage association, family association |
is listed by: OMICtools is listed by: Genetic Analysis Software has parent organization: University of Michigan; Ann Arbor; USA |
PMID:17488757 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154446, OMICS_00210 | http://eyegene.ophthy.med.umich.edu/#madeline | SCR_001979 | Madeline | 2026-02-17 09:59:48 | 5 | |||||
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ECARUCA Project Resource Report Resource Website 1+ mentions |
ECARUCA Project (RRID:SCR_000797) | data or information resource, group, database | A database of cytogenetic and clinical information on rare chromosomal disorders, including microdeletions and microduplications. The database is meant to be easily accessible for all participants, to improve patient care and collaboration between genetic centers, and collect the results of research and clinical features. The acronym ECARUCA stands for "European Cytogeneticists Association Register of Unbalanced Chromosome Aberrations". | cytogenetic, clinical, chromosome, gene, microdeletion, microduplication, europe, aberrations, genetics | European Union FP5 | PMID:16829349 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31901 | SCR_000797 | ECARUCA | 2026-02-17 09:59:31 | 3 | |||||||
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ERGO Resource Report Resource Website 50+ mentions |
ERGO (RRID:SCR_001243) | ERGO | data analysis service, production service resource, analysis service resource, service resource | A web-based genome analysis platform that integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, and biochemical and microbiological data with publicly available information. Focused on microbial genomics, it provides better and faster identification of gene function across all organisms. Building upon a comprehensive genomic database integrated with a collection of microbial metabolic and non-metabolic pathways and using proprietary algorithms, it assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways and gene products. . * Automated and manual annotation of genes and genomes * Analysis of metabolic and non-metabolic pathways to understand organism physiology * Comparison of multiple genomes to identify shared and unique features and SNPs * Functional analysis of gene expression microarray data * Data-mining for target gene discovery * In silico metabolic engineering and strain improvement | genome analysis, genome, annotation, database, software, comparative genomics, function, gene, pathway, gene expression, microarray, FASEB list | is listed by: OMICtools | Restricted | OMICS_02097 | SCR_001243 | ERGO Genome Analysis and Discovery System, ERGO Genome Analysis & Discovery System | 2026-02-17 09:59:35 | 66 | |||||||
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Phevor Resource Report Resource Website 1+ mentions |
Phevor (RRID:SCR_002273) | Phevor | data analysis service, production service resource, analysis service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Tool that integrates phenotype, gene function, and disease information with personal genomic data for improved power to identify disease-causing alleles. It works by combining knowledge resident in multiple biomedical ontologies with the outputs of variant prioritization tools. It does so using an algorithm that propagates information across and between ontologies. This process enables Phevor to accurately reprioritize potentially damaging alleles identified by variant prioritization tools in light of gene function, disease, and phenotype knowledge. Phevor is especially useful for single exome and family trio-based diagnostic analyses, the most commonly occurring clinical scenarios, and ones for which existing personal-genomes diagnostic tools are most inaccurate and underpowered. Phevor not only improves diagnostic accuracy for individuals presenting with established disease phenotypes, but also for those with previously undescribed and atypical disease presentations. Importantly, Phevor is not limited to known diseases, or known disease-causing alleles. | genome interpretation, variant prioritization, disease gene prioritization, phenotype, gene function, disease, genomic, disease-causing allele, gene, function, allele | has parent organization: University of Utah School of Medicine; Utah; USA | PMID:24702956 | THIS RESOURCE IS NO LONGER IN SERVICE | SciRes_000139 | SCR_002273 | Phenotype Driven Variant Ontological Re-Ranking Tool | 2026-02-17 09:59:45 | 9 | ||||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | data analysis service, production service resource, analysis service resource, service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-02-17 10:00:33 | 19 | ||||
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Biomine Resource Report Resource Website 1+ mentions |
Biomine (RRID:SCR_003552) | Biomine | data or information resource, database, service resource | Service that integrates cross-references from several biological databases into a graph model with multiple types of edges, such as protein interactions, gene-disease associations and gene ontology annotations. Edges are weighted based on their type, reliability, and informativeness. In particular, it formulates protein interaction prediction and disease gene prioritization tasks as instances of link prediction. The predictions are based on a proximity measure computed on the integrated graph. | gene, protein, genetics, visualization, connection, biological entity, protein interaction, disease gene, link prediction |
is related to: Entrez Gene is related to: Gene Ontology is related to: HomoloGene is related to: InterPro is related to: OMIM is related to: STRING is related to: UniProtKB is related to: UniProt is related to: GoMapMan has parent organization: University of Helsinki; Helsinki; Finland |
PMID:22672646 | nlx_157687 | SCR_003552 | 2026-02-17 10:00:22 | 4 | ||||||||
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SEGS Resource Report Resource Website 1+ mentions |
SEGS (RRID:SCR_003554) | SEGS | data analysis service, production service resource, analysis service resource, service resource | A web tool for descriptive analysis of microarray data. The analysis is performed by looking for descriptions of gene sets that are statistically significantly over- or under-expressed between different scenarios within the context of a genome-scale experiments (DNA microarray). Descriptions are defined by using the terms from the Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and gene-gene interactions found in the ENTREZ database. Gene annotations by GO and KEGG terms can also be found in the ENTREZ database. The tool provides three procedures for testing the enrichment of the gene sets (over- or under-expressed): Fisher's exact test, GSEA and PAGE, and option for combining the results of the tests. Because of the multiple-hypothesis testing nature of the problem, all the p-values are computed using the permutation testing method. | microarray, pathway, gene-gene interaction, gene, interaction, annotation, gene expression, ortholog, molecular function, biological process, cellular component, enriched gene set, gene set |
is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: GoMapMan has parent organization: Jozef Stefan Institute; Ljubljana; Slovenia |
PMID:18234563 | nlx_157688 | SCR_003554 | Search for Enriched Gene Sets | 2026-02-17 10:00:13 | 3 | |||||||
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T-profiler Resource Report Resource Website 10+ mentions |
T-profiler (RRID:SCR_003452) | T-profiler | data analysis service, production service resource, analysis service resource, service resource | One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool | expression, gene, binding, cellular, transcriptional, gene expression, microarray, gene ontology, transcription factor, binding motif, chip-chip, chip, motif, t-test, statistical analysis, transcriptome, bio.tools |
is listed by: Biositemaps is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Columbia University; New York; USA has parent organization: University of Amsterdam; Amsterdam; Netherlands |
Netherlands Foundation for Technical Research APB.5504; NHGRI R01HG003008 |
PMID:15980543 | Free for academic use | nif-0000-33354, biotools:t-profiler | https://bio.tools/t-profiler | SCR_003452 | T-profiler: Scoring the Activity of Pre-defined Groups of Genes Using Gene Expression Data | 2026-02-17 10:00:11 | 11 | ||||
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Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | data analysis service, production service resource, analysis service resource, service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-02-17 10:00:08 | 25 | ||||
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Human Gene Connectome Server Resource Report Resource Website 1+ mentions |
Human Gene Connectome Server (RRID:SCR_002627) | HGCS | data analysis service, production service resource, analysis service resource, service resource | An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways. | gene, disease, phenotype, genome, connectome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Human Gene Connectome |
PMID:23509278 | Free | nlx_156049, biotools:hgcs | https://bio.tools/hgcs | SCR_002627 | 2026-02-17 09:59:55 | 5 | ||||||
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National Cell Repository for Alzheimer's Disease Resource Report Resource Website 10+ mentions |
National Cell Repository for Alzheimer's Disease (RRID:SCR_007313) | NCRAD | biomaterial supply resource, tissue bank, material resource | Cell repository for Alzheimer's disease that collects and maintains biological specimens and associated data. Its data is derived from large numbers of genetically informative, phenotypically well-characterized families with multiple individuals affected with Alzheimer's disease, as well as individuals for case-control studies. | gene, alzheimers disease, dementia, dna, late onset, memory loss, phenotypic data, research study, clinical data, plasma, serum, rna, brain tissue, family history, blood |
is listed by: One Mind Biospecimen Bank Listing is related to: DIAN - Dominantly Inherited Alzheimer Network is related to: Alzheimers Disease Genetics Consortium is related to: National Alzheimer's Coordinating Center has parent organization: Indiana University; Indiana; USA |
Alzheimer's disease, Late-onset Alzheimer's disease, Dementia, Memory loss | NIA ; NIH Blueprint for Neuroscience Research |
Public, Application required for genetic research | nif-0000-00178 | SCR_007313 | 2026-02-17 10:01:02 | 35 | ||||||
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GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool Resource Report Resource Website 100+ mentions |
GOrilla: Gene Ontology Enrichment Analysis and Visualization Tool (RRID:SCR_006848) | GOrilla | data analysis service, production service resource, analysis service resource, service resource | A tool for identifying and visualizing enriched GO terms in ranked lists of genes. It can be run in one of two modes: * Searching for enriched GO terms that appear densely at the top of a ranked list of genes or * Searching for enriched GO terms in a target list of genes compared to a background list of genes. | gene, genetic, ontology, ontology or annotation visualization, statistical analysis, term enrichment, visualization, analysis, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology |
European Union FP6 ; Yeshaya Horowitz Association |
PMID:19192299 | Acknowledgement requested, Free, Public | nlx_80425, OMICS_02282 | SCR_006848 | Gene Ontology enRIchment anaLysis and visuaLizAtion tool, GOrilla: Gene Ontology Enrichment Analysis Visualization Tool | 2026-02-17 10:00:59 | 492 | |||||
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PolygenicBlog Resource Report Resource Website |
PolygenicBlog (RRID:SCR_008789) | data or information resource, narrative resource, blog | A blog concerning the relationships between genes, risk factors and immunity in Alzheimer's disease, autism, Bipolar disorder, multiple sclerosis, Parkinson's disease, schizophrenia and chronic fatigue. | gene, risk factor, immunity, alzheimer's disease, autism, bipolar disorder, multiple sclerosis, parkinson's disease, schizophrenia, chronic fatigue |
is used by: NIF Data Federation is used by: Integrated Blogs has parent organization: Polygenic Pathways |
Alzheimer's disease, Autism, Bipolar disorder, Multiple sclerosis, Parkinson's disease, Schizophrenia, Chronic fatigue | Public | nlx_144238 | SCR_008789 | Polygenic Blog | 2026-02-17 10:01:10 | 0 | |||||||
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GOstat Resource Report Resource Website 100+ mentions |
GOstat (RRID:SCR_008535) | GOstat | data analysis service, production service resource, analysis service resource, service resource | GOstat is a tool that allows you to find statistically overrepresented Gene Ontologies within a group of genes. The Gene-Ontology database (GO: http://www.geneontology.org) provides a useful tool to annotate and analyze the function of large numbers of genes. Modern experimental techniques, as e.g. DNA microarrays, often result in long lists of genes. To learn about the biology in this kind of data it is desirable to find functional annotation or Gene-Ontology groups which are highly represented in the data. This program (GOstat) should help in the analysis of such lists and will provide statistics about the GO terms contained in the data and sort the GO annotations giving the most representative GO terms first. Run GOstat: * Go to search form - Computes GO statistics of a list of genes selected from a microarray. * GOstat Display - You can store results from a previously run and view them here, either by uploading them as a file or putting them on a selected URL. * Upload Custom GO Annotations - This allows you to upload your own GO annotation database and use it with GOstat. Variants of GOstat: * Rank GOstat - Takes input from all genes on microarray instead of using a fixed cutoff and uses ranks using a Wilcoxon test or either ranks or pvalues to score GOs using Kolmogorov-Smirnov statistics. * Gene Abundance GOstats - Takes input from all genes on microarray and sums up the gene abundances for each GO to compute statistics. * Two list GOstat - Compares GO statistics in two independent lists of genes, not necessarily one of them being the complete list the other list is sampled from. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, gene ontology, annotation, statistical analysis, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Walter and Eliza Hall Institute of Medical Research; Victoria; Australia |
DFG | PMID:14962934 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30625 | SCR_008535 | 2026-02-17 10:01:22 | 159 | ||||||
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POOLSCORE Resource Report Resource Website |
POOLSCORE (RRID:SCR_007514) | software application, software resource | Software program for analysis of case-control genetic association studies using allele frequency measurements on DNA pools (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | SCR_009373, nlx_154595, nlx_154087 | SCR_007514 | R/POOLSCORE | 2026-02-17 10:01:16 | 0 | |||||||||
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UCSC Cancer Genomics Browser Resource Report Resource Website 500+ mentions |
UCSC Cancer Genomics Browser (RRID:SCR_011796) | Cancer Genomics Browser | data or information resource, database, service resource | A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets. | genome, genomics, clinical, next-generation sequencing, chromosome, gene, FASEB list |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
Cancer | NCI ; NHGRI ; American Association for Cancer Research ; UCSF Comprehensive Cancer Center ; California Institute for Quantitative Biosciences |
PMID:23109555 PMID:21059681 PMID:19333237 |
Acknowledgement requested | OMICS_00925 | SCR_011796 | 2026-02-17 10:02:04 | 530 | |||||
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gsGator Resource Report Resource Website |
gsGator (RRID:SCR_012035) | gsGator | data analysis service, production service resource, analysis service resource, service resource | A web-based platform for functional interpretation of gene sets with features such as cross-species Gene Set Analysis (GSA), Flexible and Interactive GSA, simultaneous GSA for multiple gene set, and and a fully integrated network viewer for both visualizing GSA results and molecular networks. | linux, windows, gene, orthology, pathway, phenotype, mirna target, molecular network, genomic annotation, function |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Ewha Womans University; Seoul; South Korea |
PMID:24423189 | Free, Public | OMICS_02233 | SCR_012035 | 2026-02-17 10:01:40 | 0 | |||||||
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Kidney Interactive Transcriptomics Resource Report Resource Website 50+ mentions |
Kidney Interactive Transcriptomics (RRID:SCR_017209) | KIT | data or information resource, production service resource, analysis service resource, service resource | Software tool as analyzer for kidney single cell datasets. Allows users to query gene expression from mouse or human kidney and human kidney organoid single cell datasets. For details about datasets visit ReBuilding a Kidney website. | Analyzer, kidney, single, cell, dataset, gene, expression, mouse, human, organoid | Free, Freely available | https://www.rebuildingakidney.org/ | SCR_017209 | 2026-02-17 10:03:32 | 75 |
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