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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | data repository, data or information resource, database, d spatial image, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-02-11 10:57:48 | 7 | |||||
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EGAN: Exploratory Gene Association Networks Resource Report Resource Website 1+ mentions |
EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) | EGAN | software resource, software application, data processing software, data analysis software | Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible | gene, gene association, network, protein-protein interaction, pathway, interaction, annotation, signaling pathway, enrichment, cytoscape, visualization |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: Cytoscape has parent organization: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core |
NCI P30 CA92103 | PMID:19933825 | Free for academic use | nlx_149222 | SCR_008856 | Exploratory Gene Association Networks, Exploratory Gene Association Networks (EGAN) | 2026-02-11 10:57:56 | 8 | |||||
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WormBase Resource Report Resource Website 1000+ mentions |
WormBase (RRID:SCR_003098) | WB, WB REF, WP | data repository, data or information resource, database, service resource, storage service resource | Central data repository for nematode biology including complete genomic sequence, gene predictions and orthology assignments from range of related nematodes.Data concerning genetics, genomics and biology of C. elegans and related nematodes. Derived from initial ACeDB database of C. elegans genetic and sequence information, WormBase includes genomic, anatomical and functional information of C. elegans, other Caenorhabditis species and other nematodes. Maintains public FTP site where researchers can find many commonly requested files and datasets, WormBase software and prepackaged databases. | RIN, Resource Information Network, catalog, database, blast, genomic sequence, gene prediction, orthology assignment, gene function, ortholog, roundworm, geneotype, phenotype, gene mapping, genomics, gene expression, transposon family, c elegans, wormmart, FASEB list, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: re3data.org is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: AmiGO is related to: GBrowse is related to: Textpresso is related to: Expression Patterns for C. elegans promoter GFP fusions is related to: C. elegans Gene Knockout Consortium is related to: NIH Data Sharing Repositories is related to: UniParc at the EBI is related to: UniParc is related to: Integrated Manually Extracted Annotation is related to: PhenoGO has parent organization: Cold Spring Harbor Laboratory has parent organization: Washington University in St. Louis; Missouri; USA has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: C. elegans Development Vocabulary is parent organization of: C. elegans Gross Anatomy Vocabulary is parent organization of: C. elegans Phenotype Vocabulary is parent organization of: OpenWorm works with: A plasmid Editor |
NHGRI ; NIH Blueprint for Neuroscience Research ; MRC ; BBSRC ; NHGRI U41 HG002223; NIHGRI P41 HG02223 |
PMID:24194605 PMID:19910365 PMID:17991679 PMID:15608221 |
nif-0000-00053, OMICS_01664, r3d100010424 | http://www.wormbase.org/#01-23-6 https://doi.org/10.17616/R3089Z |
SCR_003098 | , WB, Worm Base, WB REF, WP | 2026-02-11 10:56:40 | 1825 | |||||
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GeneCodis Resource Report Resource Website 100+ mentions |
GeneCodis (RRID:SCR_006943) | GeneCodis | production service resource, software resource, web service, data access protocol, data analysis service, service resource, analysis service resource | Web-based tool for the ontological analysis of large lists of genes. It can be used to determine biological annotations or combinations of annotations that are significantly associated to a list of genes under study with respect to a reference list. As well as single annotations, this tool allows users to simultaneously evaluate annotations from different sources, for example Biological Process and Cellular Component categories of Gene Ontology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | functional analysis, gene, annotation, statistical analysis, functional genomics, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: KEGG has parent organization: Spanish National Research Council; Madrid; Spain |
Juan de la Cierva research program ; Spanish Minister of Science and Innovation BIO2010-17527; Government of Madrid P2010/BMD-2305 |
PMID:22573175 PMID:19465387 PMID:17204154 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02221, biotools:genecodis3, nlx_149254 | https://bio.tools/genecodis3 | SCR_006943 | Gene annotations co-ocurrence discovery, GeneCodis - Gene annotations co-ocurrence discovery | 2026-02-11 10:57:27 | 348 | ||||
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GeneMerge Resource Report Resource Website 10+ mentions |
GeneMerge (RRID:SCR_005744) | GeneMerge | software application, production service resource, software resource, data analysis service, service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Web-based and standalone application that returns a wide range of functional genomic data for a given set of study genes and provides rank scores for over-representation of particular functions or categories in the data. It uses the hypergeometric test statistic which returns statistically correct results for samples of all sizes and is the #2 fastest GO tool available (Khatri and Draghici, 2005). GeneMerge can be used with any discrete, locus-based annotation data, including, literature references, genetic interactions, mutant phenotypes as well as traditional Gene Ontology queries. GeneMerge is particularly useful for the analysis of microarray data and other large biological datasets. The big advantage of GeneMerge over other similar programs is that you are not limited to analyzing your data from the perspective of a pre-packaged set of gene-association data. You can download or create gene-association files to analyze your data from an unlimited number of perspectives. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, genomics, functional genomic data, analysis, post-genomic analysis, data mining, hypothesis testing, statistical analysis, slimmer-type tool, term enrichment, text mining, false discovery rate, bonferroni correction, false discovery rate and bonferroni correction, perl, microarray |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Harvard University; Cambridge; United States |
PMID:12724301 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149203 | http://genemerge.cbcb.umd.edu/ | SCR_005744 | 2026-02-11 10:57:13 | 26 | ||||||
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GeneInfoViz Resource Report Resource Website |
GeneInfoViz (RRID:SCR_005680) | GeneInfoViz | production service resource, data or information resource, database, data analysis service, service resource, analysis service resource | GeneInfoViz is a web based tool for batch retrieval of gene function information, visualization of GO structure and construction of gene relation networks. It takes a input list of genes in the form of LocusLink ID, UniGeneID, gene symbol, or accession number and returns their functional genomic information. Based on the GO annotations of the given genes, GeneInfoViz allows users to visualize these genes in the DAG structure of GO, and construct a gene relation network at a selected level of the DAG. Platform: Online tool | gene network, gene ontology, visualization, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PMID:15724283 | Free for academic use | nlx_149121 | SCR_005680 | GeneInfoViz: Constructing and Visualizing Gene Relation Networks | 2026-02-11 10:57:12 | 0 | ||||||
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neuroVIISAS Resource Report Resource Website 1+ mentions |
neuroVIISAS (RRID:SCR_006010) | neuroVIISAS | d visualization software, software application, data visualization software, software resource, data analytics software, network graph visualization software, data processing software | An open framework for integrative data analysis, visualization and population simulations for the exploration of network dynamics on multiple levels. This generic platform allows the integration of neuroontologies, mapping functions for brain atlas development, and connectivity data administration; all of which are required for the analysis of structurally and neurobiologically realistic simulations of networks. What makes neuroVIISAS unique is the ability to integrate neuroontologies, image stacks, mappings, visualizations, analyzes and simulations to use them for modelling and simulations. Based on the analysis of over 2020 tracing studies, atlas terminologies and registered histological stacks of images, neuroVIISAS permits the definition of neurobiologically realistic networks that are transferred to the simulation engine NEST. The analysis on a local and global level, the visualization of connectivity data and the results of simulations offer new possibilities to study structural and functional relationships of neural networks. neuroVIISAS provide answers to questions like: # How can we assemble data of tracing studies? (Metastudy) # Is it possible to integrate tracing and brainmapping data? (Data Integration) # How does the network of analyzed tracing studies looks like? (Visualization) # Which graph theoretical properties posses such a network? (Analysis) # Can we perform population simulations of a tracing study based network? (Simulation and higher level data integration) neuroVIISAS can be used to organize mapping and connectivity data of central nervous systems of any species. The rat brain project of neuroVIISAS contains 450237 ipsi- and 175654 contralateral connections. A list of evaluated tracing studies are available. PyNEST script generation does work using WINDOWS OS, however, the script must be transferred to a UNIX OS with installed NEST. The results file of the NEST simulation can be visualized and analyzed by neuroVIISAS on a WINDOWS OS. | platform, simulation, mapping data, connectivity data, central nervous system, tracing, connectivity, java, image modality, pynest, nest, animation, brain, nervous system, brain mapping, neuroimaging, terminology, ontology, connectomics, atlas, population spike analysis, analytics, connectome, 3d visualization, visual analytics, ontology |
is listed by: 3DVC has parent organization: University of Rostock; Mecklenburg-Vorpommern; Germany |
PMID:22350719 | nlx_151398 | http://139.30.176.116/index-Dateien/Page455.htm | SCR_006010 | neuro Visualization Imagemapping Information System for Analysis and Simulation | 2026-02-11 10:57:15 | 8 | ||||||
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modENCODE Resource Report Resource Website 100+ mentions |
modENCODE (RRID:SCR_006206) | modENCODE | production service resource, data or information resource, data set, data analysis service, service resource, analysis service resource | A comprehensive encyclopedia of genomic functional elements in the model organisms C. elegans and D. melanogaster. modENCODE is run as a Research Network and the consortium is formed by 11 primary projects, divided between worm and fly, spanning the domains of gene structure, mRNA and ncRNA expression profiling, transcription factor binding sites, histone modifications and replacement, chromatin structure, DNA replication initiation and timing, and copy number variation. The raw and interpreted data from this project is vetted by a data coordinating center (DCC) to ensure consistency and completeness. The entire modENCODE data corpus is now available on the Amazon Web Services EC2 cloud. What this means is that virtual machines and virtual compute clusters that you run within the EC2 cloud can mount the modENCODE data set in whole or in part. Your software can run analyses against the data files directly without experiencing the long waits and logistics associated with copying the datasets over to your local hardware. You may also view the data using GBrowse, Dataset Search, or download the data via FTP, as well as download pre-release datasets. | epigenomics, epigenetics, genomics, functional element, model organism, genome, copy number variation, gene structure, genome sequence, histone modification, histone replacement, chromatin binding site, expression profiling, replication, transcription factor binding site, transcription factor, binding site, chromatin, rna, expression profiling, regulatory network, mrna, ncrna, dna replication, genotype |
is related to: ENCODE is related to: Encode |
NHGRI | PMID:19536255 | Public, With some restrictions on its use for 9 months following publication, Acknowledgement requested | nlx_151752 | SCR_006206 | NHGRI model organism ENCyclopedia Of DNA Elements, National Human Genome Research Institute model organism ENCyclopedia Of DNA Elements, model organism ENCyclopedia Of DNA Elements | 2026-02-11 10:57:22 | 255 | |||||
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Caenorhabditis elegans Natural Diversity Resource (CeNDR) Resource Report Resource Website 10+ mentions |
Caenorhabditis elegans Natural Diversity Resource (CeNDR) (RRID:SCR_014958) | CeNDR | biomaterial supply resource, organism supplier, material resource | Supplier and researcher of wild C. elegans strains. CeNDR supplies organisms, analyzes whole-genome sequences, and facilitates genetic mappings to aid researchers in gene discovery. | c. elegans, caenorhabditis elegans, strains, n2, roundworm, nematode, gene analysis, organism supplier, portal | has parent organization: Northwestern University; Illinois; USA | American Cancer Society Research Scholar Award ; Amazon Web Services Research Grant ; Weinberg College of Arts and Sciences starter innovation award ; Northwestern University Start-up Funds ; NIGMS R01GM107227; NSF DGE-1324585 |
PMID:27701074 | Available to the research community | SCR_014958 | Caenorhabditis elegans Natural Diversity Resource | 2026-02-11 10:59:16 | 22 | ||||||
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SL-quant Resource Report Resource Website 1+ mentions |
SL-quant (RRID:SCR_016205) | SLQ | software application, software resource, data analysis software, sequence analysis software, data processing software | Source code for a bash pipeline that quantifies splice-leader (SL) trans-splicing events by genes in the nematode C. elegans. It is designed to work downstream of read mapping and takes the reads left unmapped as primary input. | RNA-seq, trans-splicing, pipeline, c elegans, bash, nematode, read, mapping, gene |
requires: cutadapt requires: SAMTOOLS requires: HISAT2 requires: BEDTools requires: Picard requires: featureCounts |
FNRS-FRIA | Free, Available for download | SCR_016205 | 2026-02-11 10:59:28 | 1 | ||||||||
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Expression Patterns for C. elegans promoter GFP fusions Resource Report Resource Website 1+ mentions |
Expression Patterns for C. elegans promoter GFP fusions (RRID:SCR_001619) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Database of expression patterns of C. elegans promoter::GFP constructs. A text description of the observed pattern is provided, indicating the stage(s) and tissue(s) in which GFP is expressed. Also available for some strains are the corresponding 2D and 3D images. Investigators may browse the entire list, search by gene name, tissue, stage, and pattern. Search results may be downloaded in .csv and .txt formats. All of the strains in the expression pattern database are displayed in the browse page. The records are organized by gene; information such as locus name, genomic location (WormBase), the presence of images and videos, and the actual expression pattern are shown in a tabular format. | expression, gene, gene expression, caenorhabditis elegans, c. elegans, genomic, green fluorescent protein, location, locus, pattern, stage, strain, tissue |
is listed by: One Mind Biospecimen Bank Listing is related to: WormAtlas is related to: WormBase is related to: Caenorhabditis Genetics Center is related to: NEXTDB has parent organization: Albert Einstein College of Medicine; New York; USA |
Genome Canada ; Genome British Columbia |
PMID:17850180 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153885, nif-0000-25220, SCR_008354 | SCR_001619 | Caenorhabditis elegans Expression Patterns | 2026-02-11 10:56:16 | 4 | ||||||
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BodyMap-Xs Resource Report Resource Website 1+ mentions |
BodyMap-Xs (RRID:SCR_001147) | BodyMap-Xs | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008 | expressed sequence tag, comparative genomics, anatomy, taxonomy, brain, blood, connective, reproductive, muscular, alimentary, lung, liver, urinary, endocrine, exocrine, embryo, homology, gene expression, ortholog, paralog | has parent organization: DNA DataBank of Japan (DDBJ) | Neoplasm, Normal | Japanese Ministry of Education Culture Sports Science and Technology MEXT ; New Energy and Industrial Technology Development Organization |
PMID:16381946 PMID:11125076 PMID:10592203 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02617 | http://bodymap.jp/, http://bodymap.ims.u-tokyo.ac.jp/ | SCR_001147 | BodyMap-Xs: anatomical and taxonomical breakdown of animal EST, BodyMap, BodyMap- human and mouse gene expression database, BodyMap: human and mouse gene expression database, BodyMap-cross species, BodyMap-Xs(cross species) | 2026-02-11 10:56:11 | 1 | |||
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cisRED: cis-regulatory element Resource Report Resource Website 10+ mentions |
cisRED: cis-regulatory element (RRID:SCR_002098) | cisRED | data or information resource, database | Database for conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data. The database offers information on atomic motifs, motif groups and patterns. In promoter-based cisRED databases, sequence search regions for motif discovery extend from 1.5 Kb upstream to 200b downstream of a transcription start site, net of most types of repeats and of coding exons. Many transcription factor binding sites are located in such regions. For each target gene's search region, a base set of probabilistic ab initio discovery tools is used, in parallel, to find over-represented atomic motifs. Discovery methods use comparative genomics with over 40 vertebrate input genomes. In ChIP-seq-based cisRED databases, sequence search regions for motif discovery correspond to significant peaks that represent genome-wide sites of protein-DNA binding. Because such peaks occur in a wide range of genic and intergenic locations, ChIP-seq and promoter-based databases are complementary. Currently, motif discovery for ChIP-seq data uses scan-based approaches that make more explicit use of sets of sequences known to be functional transcription factor binding sites, and that consider a wide range of levels of conservation. For the human STAT1 ChIP-seq database search regions in the target species (human) was selected +/- 300 bp around the ChIP-seq peak maximum. Repeats and coding regions were masked. Multiple sequence alignment were used to assemble orthologous input sequences from other species. | atomic motif, conserved sequence motif, motif pattern, regulatory element, motif, atomic, promoter, chip-seq, transcription factor binding site, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: BC Cancer Agency |
Genome Canada ; BC Cancer Foundation ; Michael Smith Foundation for Health Research |
PMID:16381958 | Free, Freely available | nif-0000-02665, biotools:cisred, OMICS_01857, r3d100010619 | https://bio.tools/cisred https://doi.org/10.17616/R3XK69 |
SCR_002098 | cisRED - Databases of genome-wide regulatory module and element predictions | 2026-02-11 10:56:23 | 14 | ||||
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Spliceosome Database Resource Report Resource Website 10+ mentions |
Spliceosome Database (RRID:SCR_002097) | Spliceosome Database | data or information resource, database | A database of proteins and RNAs that have been identified in various purified splicing complexes. Various names, orthologs and gene identifiers of spliceosome proteins have been cataloged to navigate the complex nomenclature of spliceosome proteins. Links to gene and protein records are also provided for the spliceosome components in other databases. To navigate spliceosome assembly dynamics, tools were created to compare the association of spliceosome proteins with complexes that form at specific stages of spliceosome assembly based on a compendium of mass spectrometry experiments that identified proteins in purified splicing complexes. | splicing, mass spectrometry, protein, rna, complex, spliceosome, small nuclear rna, structure, dynamics, ortholog, gene |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
PMID:23118483 | Free, Freely available | OMICS_01891 | SCR_002097 | Spliceosome Database - A source of information for the SLPICEOSOME: The large ribonucleoprotein complex responsible for pre-mRNA splicing, Spliceosome Component Database | 2026-02-11 10:56:23 | 11 | ||||||
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PITA Resource Report Resource Website 1000+ mentions |
PITA (RRID:SCR_010853) | PITA | data or information resource, data set | Catalogs of predicted microRNA targets in worm (based on ce6 genome assembly), fly (dm3), mouse (mm9) and human (hg18). We follow standard seed parameter settings and consider seeds of length 6-8 bases, beginning at position 2 of the microRNA. No mismatches or loops are allowed, but a single G:U wobble is allowed in 7- or 8-mers. In genes missing a 3' UTR annotation, 500 bp (fly), 800 bp (human and mouse) or 300 bp (worm) downstream of the annotated end of the coding sequence were used as the predicted UTR. For each organism, a catalog with zero flank and with a flank of 3 and 15 bases upstream and downstream. | is listed by: OMICtools | OMICS_00412 | SCR_010853 | 2026-02-11 10:58:22 | 1047 | ||||||||||
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UAB Hepatorenal Fibrocystic Diseases Core Center Engineered Models Resource Resource Report Resource Website |
UAB Hepatorenal Fibrocystic Diseases Core Center Engineered Models Resource (RRID:SCR_015310) | core facility, resource, access service resource, service resource | Core whose goals include Generation of New Animal and Cell Models of HRFDs, to establish In Vivo Biosensors to Study Signaling Pathways Involved in HRFD Ciliopathies, and to generate and distribute HRFD Related Biologicals to the Center?s Investigator Base. | HRFD genes, engineered models |
is listed by: NIDDK Information Network (dkNET) has parent organization: UAB Hepatorenal Fibrocystic Diseases Core Center is organization facet of: UAB Hepatorenal Fibrocystic Diseases Core Center |
Hepatorenal Fibrocystic Disease | NIDDK P30DK074038 | Available to the research community, Acknowledgement requested | SCR_015310 | 2026-02-11 10:59:09 | 0 | ||||||||
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Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester Model Systems Core Resource Report Resource Website |
Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester Model Systems Core (RRID:SCR_015312) | core facility, resource, access service resource, service resource | Core that makes available PKD model systems and technologies to PKD researchers at Mayo and at other institutions. Its services include C. elegans PKD-targeted services, Zebrafish PKD-targeted services, and Rodent PKD-targeted services. | model systems, c. elegans, zebrafish, rodents, PKD genes |
is listed by: NIDDK Information Network (dkNET) has parent organization: Mayo Clinic Minnesota; Minnesota; USA has parent organization: Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester is organization facet of: Translational Polycystic Kidney Disease (PKD) Center at Mayo Clinic Rochester |
Polycystic Kidney Disease | NIDDK P30DK090728 | Available to the research community | SCR_015312 | 2026-02-11 10:59:12 | 0 | ||||||||
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GlimmerHMM Resource Report Resource Website 500+ mentions |
GlimmerHMM (RRID:SCR_002654) | GlimmerHMM | software resource, source code | A gene finder based on a Generalized Hidden Markov Model (GHMM). Although the gene finder conforms to the overall mathematical framework of a GHMM, additionally it incorporates splice site models adapted from the GeneSplicer program and a decision tree adapted from GlimmerM. It also utilizes Interpolated Markov Models for the coding and noncoding models . Currently, GlimmerHMM's GHMM structure includes introns of each phase, intergenic regions, and four types of exons (initial, internal, final, and single). | gene, hidden markov model |
is related to: Glimmer has parent organization: Johns Hopkins University; Maryland; USA |
NIH ; NLM R01-LM06845; NLM R01-LM007938 |
PMID:15145805 | Free, Available for download, Freely available | nlx_156092 | SCR_002654 | GlimmerHMM - Eukaryotic Gene-Finding System | 2026-02-11 10:56:36 | 576 | |||||
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Unified Human Interactome Resource Report Resource Website 10+ mentions |
Unified Human Interactome (RRID:SCR_005805) | UniHI | data or information resource, database | A database of human molecular interaction networks that integrates human protein-protein and transcriptional regulatory interactions from 15 distinct resources and aims to give direct and easy access to the integrated data set and to enable users to perform network-based investigations. The database includes tools (i) to search for molecular interaction partners of query genes or proteins in the integrated dataset, (ii) to inspect the origin, evidence and functional annotation of retrieved proteins and interactions, (iii) to visualize and adjust the resulting interaction network, (iv) to filter interactions based on method of derivation, evidence and type of experiment as well as based on gene expression data or gene lists and (v) to analyze the functional composition of interaction networks. | molecular interaction network, interactome, protein, protein interaction network, protein interaction, pathway, function, visualization, protein-protein interaction, transcriptional regulatory interaction, network |
is listed by: OMICtools has parent organization: University of Algarve; Faro; Portugal |
PMID:24214987 PMID:22218860 PMID:18984619 PMID:17158159 |
Public, Non-commercial | OMICS_01911, nif-0000-03609 | http://www.mdc-berlin.de/unihi | SCR_005805 | 2026-02-11 10:57:14 | 19 | ||||||
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FuncAssociate: The Gene Set Functionator Resource Report Resource Website 10+ mentions |
FuncAssociate: The Gene Set Functionator (RRID:SCR_005768) | FuncAssociate | data analysis service, service resource, production service resource, analysis service resource | A web-based tool that accepts as input a list of genes, and returns a list of GO attributes that are over- (or under-) represented among the genes in the input list. Only those over- (or under-) representations that are statistically significant, after correcting for multiple hypotheses testing, are reported. Currently 37 organisms are supported. In addition to the input list of genes, users may specify a) whether this list should be regarded as ordered or unordered; b) the universe of genes to be considered by FuncAssociate; c) whether to report over-, or under-represented attributes, or both; and d) the p-value cutoff. A new version of FuncAssociate supports a wider range of naming schemes for input genes, and uses more frequently updated GO associations. However, some features of the original version, such as sorting by LOD or the option to see the gene-attribute table, are not yet implemented. Platform: Online tool | gene, gene ontology, statistical analysis, web service, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Roth Laboratory |
NIH ; Canadian Institute for Advanced Research ; NINDS NS054052; NINDS NS035611; NHLBI HL081341; NHGRI HG0017115; NHGRI HG004233; NHGRI HG003224 |
PMID:19717575 PMID:14668247 |
Free for academic use, Acknowledgement requested | biotools:funcassociate, OMICS_02264, nlx_149233 | http://llama.mshri.on.ca/cgi/func/funcassociate https://bio.tools/funcassociate |
SCR_005768 | 2026-02-11 10:57:09 | 36 |
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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 RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID 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 RRID then you can log in from here to get additional features in RRID 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 RRID 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.