Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
VisiGene Image Browser Resource Report Resource Website 50+ mentions |
VisiGene Image Browser (RRID:SCR_003341) | VisiGene | image repository, data or information resource, data repository, data analysis service, image collection, database, storage service resource, production service resource, service resource, analysis service resource | Virtual microscope for viewing in situ images that show where a gene is used in an organism, sometimes down to cellular resolution. The user can examine cell-by-cell as well as tissue-by-tissue expression patterns. Users can retrieve images that meet specific search criteria, then interactively zoom and scroll across the collection. Image set contributions are welcome. The following image collections are currently available for browsing: * High-quality high-resolution images of eight-week-old male mouse sagittal brain slices with reverse-complemented mRNA hybridization probes from the Allen Brain Atlas, courtesy of the Allen Institute for Brain Science * Mouse in situ images from the Jackson Lab Gene Expression Database (GXD) at MGI * Transcription factors in mouse embryos from the Mahoney Center for Neuro-Oncology * Mouse head and brain in situ images from NCBI''''s Gene Expression Nervous System Atlas (GENSAT) database * Xenopus laevis in situ images from the National Institute for Basic Biology (NIBB) XDB project | molecular neuroanatomy resource, midbrain, brain, in situ, gene, theiler stage, visualization, cellular resolution, mrna hybridization, in situ hybridization, male, nieuwkoop, faber stage, gene expression, embryonic mouse, adult mouse |
is related to: Gene Expression Database is related to: Allen Institute for Brain Science is related to: Gene Expression Nervous System Atlas has parent organization: University of California at Santa Cruz; California; USA |
PMID:18996895 PMID:17142222 |
Free, Freely available | nif-0000-00198 | SCR_003341 | 2026-08-05 10:43:49 | 58 | |||||||
|
BrainTrap: Fly Brain Protein Trap Database Resource Report Resource Website 1+ mentions |
BrainTrap: Fly Brain Protein Trap Database (RRID:SCR_003398) | BrainTrap | data or information resource, d spatial image, database | This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download. | brain, exon, expression, 3d confocal, affinity, antibody, dataset, immunohistochemical, microscopy, image, protein, protein-trap, gene | has parent organization: University of Edinburgh; Scotland; United Kingdom | EPSRC ; British society for Developmental Biology ; Society for Experimental Biology ; Virtual Fly Brain e-Science Institute Theme ; BBSRC ; MRC |
PMID:20624714 | Free, Freely available | nif-0000-32989 | http://fruitfly.inf.ed.ac.uk/braintrap/ | SCR_003398 | Fly Brain Protein Trap Database, Brain Trap | 2026-08-05 10:43:50 | 1 | ||||
|
ProbeMatchDB 2.0 Resource Report Resource Website |
ProbeMatchDB 2.0 (RRID:SCR_003433) | ProbeMatchDB | data or information resource, database, data analysis service, production service resource, service resource, analysis service resource | Matches a list of microarray probes across different microrarray platforms (GeneChip, EST from different vendors, Operon Oligos) and species (human, mouse and rat), based on NCBI UniGene and HomoloGene. The capability to match protein sequence IDs has just been added to facilitate proteomic studies. The ProbeMatchDB is mainly used for the design of verification experiments or comparing the microarray results from different platforms. It can be used for finding equivalent EST clones in the Research Genetics sequence verified clone set based on results from Affymetirx GeneChips. It will also help to identify probes representing orthologous genes across human, mouse and rat on different microarray platforms. | experiment, human, microarray, mouse, oligo, operon, platform, probe, protein, proteomic, rate, sequence, study, gene, est, cdna, sts marker, orthologous gene, ortholog, microarray probe, nucleotide sequence |
is related to: UniGene is related to: HomoloGene has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan Microarray Network ; Nancy Pritzker Depression Research Network ; Department of Psychiatry pilot study ; NIMH L99 MH60398; NIDA R21 DA13754-01 |
PMID:11934751 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33156 | SCR_003433 | 2026-08-05 10:43:50 | 0 | ||||||
|
Weighted Gene Co-expression Network Analysis Resource Report Resource Website 1000+ mentions |
Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) | WGCNA | software resource, data processing software, software application, data analysis software | Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, co-expression, analysis, network, bio.tools, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: University of California at Los Angeles; California; USA |
NCI P50CA092131; NIDA 1R01DA030913-01; NIDCR R01DE019255; NIAID U19 AI063603-01 |
PMID:19114008 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31889, biotools:crosslinkwgcna | http://labs.genetics.ucla.edu/horvath/htdocs/CoexpressionNetwork/Rpackages/WGCNA/#citation, https://bio.tools/crosslinkwgcna | SCR_003302 | WGCNA: an R package for weighted correlation network analysis | 2026-08-05 10:43:49 | 1860 | ||||
|
Glioma Molecular Dignostic Initiatives Resource Report Resource Website 10+ mentions |
Glioma Molecular Dignostic Initiatives (RRID:SCR_003329) | GMDI | data or information resource, data repository, narrative resource, controlled vocabulary, storage service resource, standard specification, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. An initiative to develop a molecular classification schema that is both clinically and biologically meaningful, based on gene expression and genomic data from tumors (Gliomas) of patients who will be prospectively followed through natural history and treatment phase of their illness. The study will also explore gene expression profiles to determine the responsiveness of the patients and correlate with discrete chromosomal abnormalities. The initiative was designed to obtain a large amount of molecular data on DNA and RNA of freshly collected tumor samples that were collected, processed and analyzed in a standardized fashion to allow for large-scale cross sample analysis. The sample collection is accompanied by careful and prospective clinical data acquisition, allowing a variety of matched molecular and clinical data permitting a wide variety of analyses. GMDI has accrued fresh frozen tumors in the retrospective phase (all from the Henry Ford Hospital, without germline DNA) and fresh frozen tumors in the prospective phase (from a variety of institutions). In addition to characterizing the samples from patients enrolled in GMDI, the microarray group has generated genomic-scale analyses of the many human and canine glioma initiating cells/glioma stem cells (GIC/GSC) lines, as well as many canine and murine normal neural stem cell (NSC) lines produced in laboratory. | molecular neuroanatomy resource, molecular data, clinical data, genomic analyses, genomics, gene, expression array, snp array, gene expression, microarray, glioma initiating cell, glioma stem cell, protein, glioma, molecular, diagnostic, dna, rna, tumor, tissue, blood, plasma, data repository |
is listed by: One Mind Biospecimen Bank Listing is related to: Repository of molecular brain neoplasia data has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-31950 | http://search.engrant.com/project/NxvG9G/the_glioma_molecular_diagnostic_initiative_characterizing_brain_tumor_data | SCR_003329 | Glioma Molecular Diagnostic Initiative: Characterizing Brain Tumor Data | 2026-08-05 10:43:49 | 17 | ||||
|
Xenbase Resource Report Resource Website 100+ mentions |
Xenbase (RRID:SCR_003280) | XenBase | image repository, data or information resource, data repository, database, storage service resource, service resource | Data collection for Xenopus laevis and Xenopus tropicalis biology and genomics. | molecular neuroanatomy resource, dna target, protein target, gene, genome, function, sequence, orthology, publication, gene expression, model organism, genomics, development, annotation, blast, development stage, publication, in situ hybridization, immunohistochemistry, video resource, organism-related portal, experimental protocol, organism supplier, data analysis service, developmental stage, gold standard, bio.tools, FASEB list, RRID Community Authority |
is listed by: OMICtools is listed by: One Mind Biospecimen Bank Listing is listed by: bio.tools is listed by: Debian is related to: Bgee: dataBase for Gene Expression Evolution has parent organization: University of Calgary; Alberta; Canada is parent organization of: Xenopus Anatomy Ontology |
NICHD R01 HD045776; NICHD P41 HD064556 |
PMID:23125366 PMID:19884130 PMID:36755307 |
Free, Available for download, Freely available | biotools:xenbase, OMICS_01665, nif-0000-01286, r3d100010279 | http://www.xenbase.org/entry/, https://bio.tools/xenbase, https://doi.org/10.17616/R3MP4S | SCR_003280 | Xenbase: Xenopus laevis and tropicalis biology and genomics resource | 2026-08-05 10:43:48 | 446 | ||||
|
MARCAR Resource Report Resource Website 1+ mentions |
MARCAR (RRID:SCR_003755) | MARCAR | data or information resource, portal, consortium, organization portal | Consortium to identify early biological indicators (biomarkers) that can be used to predict the development of cancer, as an unintended and adverse response to a new drug. The use of these biomarkers that detect early carcinogenicity will hopefully accelerate drug development and increase patient safety. The project focuses on non-genotoxic carcinogenesis (NGC) specifically looking at the role of epigenetic effects that could be caused as unintended consequences of new drugs. Using a combination of molecular analysis technologies, the consortium combines expertise in the field of biomarkers, human and rodent cancer models, imaging, molecular profiling and bioinformatics. Participants will focus on liver tumors, the organ most affected by non-genotoxic carcinogenesis, during the preclinical safety evaluations of candidate-medicines. Their findings aim to facilitate tumor identification in other organs as well, in hopes of providing insights in the mechanisms of tumor growth. The main objectives of the consortium are to: * Identify early biomarkers for predicting which compounds have a potential for later cancer development * Improve the scientific basis for assessing carcinogenic potential of non-genotoxic (NGC) drugs * Identify the molecular response to NGC exposure that underpins development of early exposure biomarkers * Improve drug safety and the efficiency of drug development by advancing the development of alternative research methods | biomarker, tumor classification, non genotoxic carcinogen, drug-induced tumor, safety, drug development, drug, consortium, carcinogen, adverse response, liver, mri, gene interaction, dna modification, drug exposure, gene expression, mutation, nuclear receptor, drug safety, biological process, gene, imaging, molecular profiling |
is listed by: Consortia-pedia has parent organization: University of Dundee; Scotland; United Kingdom |
Innovative Medicines Initiative | nlx_157986 | SCR_003755 | MARCAR - towards novel biomarkers for cancer risk assessment, bioMARkers and molecular tumor classification for non-genotoxic CARcinogenesis | 2026-08-05 10:43:54 | 6 | |||||||
|
Eurexpress Resource Report Resource Website 1+ mentions |
Eurexpress (RRID:SCR_005093) | Eurexpress | data or information resource, expression atlas, image collection, database, atlas | Genome transcriptome atlas by RNA in situ hybridization on sagittal sections of developing mouse at embryonic day 14.5. Consists of searchable database of annotated images that can be interactively viewed. Anatomy based expression profiles for coding genes and microRNAs, tissue specific genes. Expression data generated by using human and murine tissue arrays. | Genome, transcriptome, atlas, RNA, in situ, hybrydization, sagittal, section, developing, mouse, embryo, expression, gene |
is listed by: GUDMAP Ontology is listed by: NIDDK Information Network (dkNET) is related to: EMAGE Gene Expression Database is related to: aGEM has parent organization: Telethon Institute of Genetics and Medicine; Naples; Italy |
European Union ; VI Framework ; Telethon Foundation ; Swiss National Science Foundation ; Max Planck Society ; MRC ; Association pour la Recherche sur le Cancer ; Ingenio 2010 MEuropean Union |
PMID:21267068 | nif-0000-00243 | http://www.eurexpress.org/ee/databases/anatomy/treeFrames.jsp, http://www.eurexpress.org/ee/ | SCR_005093 | Eurexpress atlas, Transcriptome Atlas Database for Mouse Embryo | 2026-08-05 10:44:11 | 3 | |||||
|
SMART Resource Report Resource Website 5000+ mentions |
SMART (RRID:SCR_005026) | SMART | data or information resource, web service, data access protocol, database, software resource, data analysis service, production service resource, service resource, analysis service resource | Software tool for identification and annotation of genetically mobile domains and analysis of domain architectures. | extracellular, gene, genetic, genetically, genome, architecture, chromatin, domain, mobile, phyletic, protein, proteome, signaling, structure, taxonomic, tertiary, bio.tools, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is listed by: bio.tools is listed by: Debian is related to: Eukaryotic Linear Motif is related to: Conserved Domain Database is related to: GOTaxExplorer has parent organization: EMBL - Bork Group |
European Union | PMID:18978020 PMID:16381859 PMID:14681379 PMID:10592234 PMID:9847187 PMID:9600884 |
Free, Freely available | nif-0000-03471, biotools:smart | http://smart.embl-heidelberg.de/, https://bio.tools/smart | SCR_005026 | Simple Modular Architecture Research Tool | 2026-08-05 10:44:10 | 6760 | ||||
|
Allen Institute Neurowiki Resource Report Resource Website |
Allen Institute Neurowiki (RRID:SCR_005042) | Allen Neurowiki | data or information resource, narrative resource, controlled vocabulary, wiki, database, ontology | THIS RESOURCE IS NO LONGER IN SERVICE, documented September 6, 2016. The Allen Institute Neurowiki is a joint project between Vulcan Inc. and the Allen Institute to build a Semantic Wiki mapping genetic instances. It is a finished prototype testing the import pipelines and display componenets for combining 5 major RDF datasets from 4 different sources. Current planning includes mapping complete datasets, curating a better ontology, and creating multiple ontology management for a user class. Biological Linked Data Map: * Open, public online access * Data from multiple RDF data stores * Complete import pipeline using LDIF framework * Outlines of each imported instance embedding inline wiki properties and providing views of imported properties from original RDF datasets * Charting tools that ''''pivot'''' SPARQL queries providing several views of each query * Navigation and composition tools for accessing and mining the data Where did we get the data? * KEGG: Kyoto Encyclopedia of Genes and Genomes: KEGG GENES is a collection of gene catalogs for all complete genomes generated from publicly available resources, mostly NCBI RefSeq * Diseasome: The Diseasome website is a disease / disorder relationships explorer and a sample of an innovative map-oriented scientific work. Built by a team of researchers and engineers, it uses the Human Disease Network dataset. * DrugBank: The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug data with comprehensive drug target information. * Sider: Sider contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. Every piece of content on every instance page is generated by Semantic Result Formatters interpreting SPARQL results. | gene, disease, drug, effect, pathway, sparql, triplestore, probe, structure |
is related to: KEGG is related to: Diseasome is related to: DrugBank is related to: SIDER has parent organization: Allen Institute for Brain Science |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144032 | SCR_005042 | Biological Linked Data Map, Neurowiki: Biological Linked Data Map, Neurowiki, Allen Neurowiki: Biological Linked Data Map, Allen Institute Neurowiki: Biological Linked Data Map | 2026-08-05 10:44:10 | 0 | |||||||
|
Gene Wiki Resource Report Resource Website 1+ mentions |
Gene Wiki (RRID:SCR_005317) | Gene Wiki | data or information resource, wiki, narrative resource | The Gene Wiki is a project that facilitates transferring information on human genes to Wikipedia article stubs with the goal of promoting collaboration and expansion of the articles. Number of gene articles The human genome contains an estimated 20,00025,000 protein-coding genes. The goal of the Gene Wiki project is to create seed articles for every notable human gene, that is, every gene whose function has been assigned in the peer-reviewed scientific literature. Approximately half of human genes have assigned function, therefore the total number of articles seeded by the Gene Wiki project would be expected to be in the range of 10,000 - 15,000. To date, approximately 10,271 articles have been created or augmented to include Gene Wiki project content. Expansion Once seed articles have been established, the hope and expectation is that these will be annotated and expanded by editors ranging in experience from the lay audience to students to professionals and academics. Proteins encoded by genes The majority of genes encode proteins hence understanding the function of a gene generally requires understanding of the function of the corresponding protein. In addition to including basic information about the gene, the project therefore also includes information about the protein encoded by the gene. Stubs for the Gene Wiki project are created by a bot and contain links to the following primary gene/protein databases * HUGO Gene Nomenclature Committee official gene name * Entrez Gene database * OMIM (Mendelian Inheritance in Man) database that catalogues all the known diseases with a genetic component * Amigo Gene Ontology * HomoloGene gene homologs in other species * SymAtlasRNA gene expression pattern in tissues * Protein Data Bank 3D structure of protein encoded by the gene * Uniprot (universal protein resource) a central repository of protein data | gene, genome, human, annotation | has parent organization: Wikipedia | PMID:18613750 | nlx_144371 | SCR_005317 | GeneWiki | 2026-08-05 10:44:14 | 3 | |||||||
|
ENIGMA: Enhancing Neuro Imaging Genetics Through Meta-Analysis Resource Report Resource Website 100+ mentions |
ENIGMA: Enhancing Neuro Imaging Genetics Through Meta-Analysis (RRID:SCR_005515) | ENIGMA | data or information resource, knowledge environment, narrative resource, experimental protocol | Network that brings together researchers in imaging genomics, to understand brain structure and function, based on MRI, DTI, fMRI and genomewide association scan (GWAS) data. The ENIGMA Network has several goals: * to create a network of like-minded individuals, interested in pushing forward the field of imaging genetics * to ensure promising findings are replicated via member collaborations, in order to satisfy the mandates of most journals * to share ideas, algorithms, data, and information on promising findings or methods * to facilitate training, including workshops and conferences on key methods and emerging directions in imaging genetics. Data sharing with other members of the ENIGMA Network is optional and by no means a requirement of joining the network. Genetics and Imaging Protocols are available. | mri, dti, fmri, genomewide association scan, imaging, genetics, genomics, brain, brain structure, brain function, application, clinical neuroinformatics, genetic association, genomic analysis, imaging genomics, imputation, loni pipeline, magnetic resonance, nifti, snp, gene |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Southern California; Los Angeles; USA |
Creative Commons License | nlx_144613 | http://www.nitrc.org/projects/enigma | http://enigma.loni.ucla.edu/ | SCR_005515 | Enhancing Neuro Imaging Genetics Through Meta-Analysis, ENIGMA Network | 2026-08-05 10:44:16 | 215 | |||||
|
CGAP GO Browser Resource Report Resource Website 1+ mentions |
CGAP GO Browser (RRID:SCR_005676) | CGAP GO Browser | data or information resource, data set, service resource | With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool | gene, biological process, cellular component, molecular function, browser, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Cancer Genome Anatomy Project |
NCI | Free for academic use | nlx_149116 | SCR_005676 | Cancer Genome Anatomy Project GO Browser | 2026-08-05 10:44:18 | 4 | ||||||
|
Onto-Express Resource Report Resource Website 50+ mentions |
Onto-Express (RRID:SCR_005670) | OE | data or information resource, database, data analysis service, production service resource, service resource, analysis service resource | The typical result of a microarray experiment is a list of tens or hundreds of genes found to be differentially regulated in the condition under study. Independently of the methods used to select these genes, the common task faced by any researcher is to translate these lists of genes into a better understanding of the biological phenomena involved. Currently, this is done through a tedious combination of searches through the literature and a number of public databases. We developed Onto-Express (OE) as a novel tool able to automatically translate such lists of differentially regulated genes into functional profiles characterizing the impact of the condition studied. OE constructs functional profiles (using Gene Ontology terms) for the following categories: biochemical function, biological process, cellular role, cellular component, molecular function and chromosome location. Statistical significance values are calculated for each category. We demonstrated the validity and the utility of this comprehensive global analysis of gene function by analyzing two breast cancer data sets from two separate laboratories. OE was able to identify correctly all biological processes postulated by the original authors, as well as discover novel relevant mechanisms (Draghici et.al, Genomics, 81(2), 2003). Other results obtained with Onto-Express can be found in Khatri et.al., Genomics. 79(2), 2002. Custom level of abstraction of the Gene Ontology. User account required. Platform: Online tool | microarray, gene, ontology, gene expression, biochemical function, biological process, cellular role, cellular component, molecular function, chromosome location, java, data-mining, browser, visualization, analysis, statistical analysis, term enrichment, search engine, other analysis, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, custom level of abstraction of the gene ontology, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
Wayne State University School of Medicine; Michigan; USA ; NICHD HD36512 |
PMID:12620386 PMID:11829497 PMID:15215428 |
Free for academic use | nlx_149110 | http://vortex.cs.wayne.edu:8080 | SCR_005670 | Onto-Express (OE) | 2026-08-05 10:44:18 | 85 | ||||
|
GeneTools Resource Report Resource Website 1000+ mentions |
GeneTools (RRID:SCR_005663) | GeneTools | data access protocol, data or information resource, software resource, web service | Web-service providing access to database that brings together information from broad range of resources. Web application for functional annotation and statistical hypothesis testing. Provides tools for analysis of genomic and microarray data. Collection of tools include Bibliographic Information,Databases,Gene Annotation,Gene Regulation, Microarray,Proteins,Sequence Manipulation - Nucleic Acids,Sequence Manipulation - Protein, Systems Biology. | genome-wide analyses, annotation, gene, visualization, ontology or annotation browser, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, statistical analysis, term enrichment, browser, search engine, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Norwegian University of Science and Technology; Trondheim; Norway is parent organization of: GeneTools: explore GeneOntology |
National Council on Cardiovascular Diseases ; Norwegian University of Science and Technology ; Norwegian Research Council |
PMID:17062145 | SCR_002911, SCR_007388, nif-0000-00407, nif-0000-30011, nlx_149102 | SCR_005663 | 2026-08-05 10:44:18 | 1752 | |||||||
|
Nancy Lurie Marks Family Foundation Resource Report Resource Website 1+ mentions |
Nancy Lurie Marks Family Foundation (RRID:SCR_005455) | NLMFF | data or information resource, portal, funding resource, disease-related portal, topical portal | The primary mission of the Nancy Lurie Marks (NLM) Family Foundation is to help people with autism lead fulfilling and rewarding lives. The Foundation is committed to understanding autism from a scientific perspective, increasing opportunities and services available to the autism community and educating the public about autism. In pursuit of its mission, the Foundation develops and provides grants to programs in research, clinical care, policy, advocacy and education. Founded by Nancy Lurie Marks over 25 years ago, the NLM Family Foundation is one of the largest supporters of initiatives in these areas. The principal goal of the scientific program is to achieve a deeper understanding of the biological basis of autism, focusing on genetics, synaptic chemistry, the neurobiology of communication, systems biology and the physiology of movement. The Foundation funds peer-reviewed research, the development of collaborative investigator projects, and research fellowship programs. Through sponsorship of scientific conferences, symposia and workshops, the Foundation seeks to encourage innovation and provide a springboard to generate new avenues of shared inquiry. The NLM Family Foundation supports programs which focus on novel ways to improve the communication and social abilities of those with autism. Other programs are designed to increase advocacy for legal rights and access to support services for persons with autism, and to increase community understanding and openness to inclusion through education and documentary films. | autism, grant, research, gene, brain, brain development, human | nlx_144546 | SCR_005455 | NLM Family Foundation | 2026-08-05 10:44:15 | 2 | |||||||||
|
GeneInfoViz Resource Report Resource Website |
GeneInfoViz (RRID:SCR_005680) | GeneInfoViz | data or information resource, database, data analysis service, production service resource, 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 | 2026-08-05 10:44:18 | 0 | ||||||
|
Sybil Resource Report Resource Website 10+ mentions |
Sybil (RRID:SCR_005593) | Sybil | software resource, data or information resource, database | A web-based software package for comparative genomics. | comparative genomics, genome, synteny, protein cluster, protein, gene, genomic region, synteny gradient, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: SourceForge |
PMID:22121156 | OMICS_00945, biotools:sybil | https://bio.tools/sybil | SCR_005593 | Sybil: Web-based software for comparative genomics | 2026-08-05 10:44:19 | 37 | ||||||
|
GOdist Resource Report Resource Website |
GOdist (RRID:SCR_005770) | GOdist | software resource, data processing software, software application, data analysis software | GOdist is a Matlab program that analyzes Affymetrix microarray expression data implementing Kolmogorov-Smirnov (KS) continuous statistics approach. It also implements the discrete approach using Fisher exact test employing a two-tailed hypergeometric distribution. GOdist enables detection of both kinds of changes within specific GO terms represented on the array in relation to different populations: the global array population, the direct parents of the analyzed GO term and the global parent of it (e.g. biological process, molecular function or cellular component). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, function, gene, gene expression, gene ontology, matlab, affymetrix, microarray, biological process, molecular function, cellular component, fisher exact test, kolmogorov-smirnov |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel |
PMID:15550480 | Free for academic use | nlx_149260 | SCR_005770 | 2026-08-05 10:44:20 | 0 | |||||||
|
PubSearch Resource Report Resource Website 1+ mentions |
PubSearch (RRID:SCR_005830) | PubSearch | software resource, data or information resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. PubSearch is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. PubSearch can be downloaded from GMOD. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, annotate, editor, literature curation tool, literature, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: TAIR has parent organization: Stanford University; Stanford; California |
NHGRI R01HG02728 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149338 | SCR_005830 | 2026-08-05 10:44:20 | 1 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the 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.