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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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HS3D - Homo Sapiens Splice Sites Dataset Resource Report Resource Website 1+ mentions |
HS3D - Homo Sapiens Splice Sites Dataset (RRID:SCR_002939) | HS3D | data or information resource, data set | Data set of Homo Sapiens Exons, Introns and Splice regions extracted from GenBank Rel.123 with an aim of giving standardized material to train and to assess the prediction accuracy of computational approaches for gene identification and characterization. From the complete GenBank (Primate Sequences Division) Rel.123 (162,557 entries), entries of Human Nuclear DNA including Complete CDS and more than one Exon have been selected, and 4523 exons and 3802 introns have been extracted from these entries. Details about extracted exons and introns are reported (Locus, number, Start and End position in the entry, sequence, length, G+C content, presence of not AGCT data (nucleotide scan check)). Statistics are also reported (overall nucleotides, average G+C content, nucleotide scan check results, number of not GT starting / AG ending introns, minimum / maximum / average length, length standard deviation). 3799+3799 donor and acceptor sites, as windows of 140 nucleotides around each splice site have been extracted. After discarding sequences not including canonical GTAG junctions (65+74), including insufficient data (not enough material for a 140 nucleotide window) (686+589), including not AGCT bases (29+30), and redundant (218+226) there are 2796+ 2880 windows. Finally, there are 271,937 + 332,296 windows of false splice sites, selected by searching canonical GTAG pairs in not splicing positions. The false sites in a range of +/- 60 from a true splice site are marked as proximal. | human genome, splice, exon, intron, region, gene, dna, nucleotide, splice region | is related to: GenBank | Free, Available for download, Freely available | nif-0000-02988 | SCR_002939 | Homo Sapiens Splice Sites Dataset, HS3D (Homo Sapiens Splice Sites Dataset) | 2026-02-14 02:07:52 | 7 | |||||||
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Speech Language Disorders Database Resource Report Resource Website |
Speech Language Disorders Database (RRID:SCR_003655) | SLDB | data or information resource, data set | Curated lists of genes associated to speech / language phenotypes and structural or functional abnormalities observed in patient populations. Entrez ID gene information, as well as gene expression profiles from the Allen Brain Atlas are available. You can also download expression data for a given gene in JSON or XML format. | gene, speech, language, phenotype, locus, structure, function, gene expression |
is related to: Allen Human Brain Atlas has parent organization: Boston University; Massachusetts; USA |
Speech disorder, Language disorder | nlx_157808 | SCR_003655 | Speech/Language Disorders Database, Speech / Language Disorders Database | 2026-02-14 02:07:49 | 0 | |||||||
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Linked Neuron Data Resource Report Resource Website |
Linked Neuron Data (RRID:SCR_003658) | LND | data or information resource, data set | Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc. | neuron, brain, neuroscience, protein, gene, neurotransmitter |
is related to: Common Upper Mammalian Brain Ontology is related to: Neuroscience Information Framework is related to: PubMed is related to: NeuroLex is related to: MeSH is related to: DBpedia is related to: Allen Mouse Brain Reference Atlas is related to: Allen Institute for Brain Science has parent organization: Chinese Academy of Sciences; Beijing; China |
nlx_157812 | SCR_003658 | Linked Neuron Data (LND) | 2026-02-14 02:07:29 | 0 | ||||||||
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Sol Genomics Network - Bulk download Resource Report Resource Website |
Sol Genomics Network - Bulk download (RRID:SCR_007161) | data or information resource, data set | Allows users to download Unigene or BAC information using a list of identifiers or complete datasets with FTP., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | database, dataset, unigene, gene, bac, genomics, clone, array spot, unigene id, bac ends |
is related to: SGN has parent organization: Boyce Thompson Institute for Plant Research |
NSF 0820612; USDA CSREES |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30227 | SCR_007161 | SGN bulk download | 2026-02-14 02:07:54 | 0 | |||||||
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SpliceDB Resource Report Resource Website 1+ mentions |
SpliceDB (RRID:SCR_006262) | SpliceDB | data or information resource, data set | Database of canonical and non-canonical mammalian splice sites. The information about verified splice site sequences for canonical and non-canonical sites is presented with the supporting evidence. Weight matrices were built for the major splice groups, which can be incorporated into gene prediction programs. | gene, expressed sequence tag, splice, canonical, non-canonical, splice site, sequence, data set, splice site sequence |
is listed by: OMICtools is listed by: 3DVC is related to: GenBank has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:11125105 PMID:11058137 |
nlx_151853, OMICS_01892 | http://linux1.softberry.com/berry.phtml?topic=splicedb | http://genomic.sanger.ac.uk/spldb/SpliceDB.htm | SCR_006262 | SpliceDB: canonical and non-canonical splice site sequences in mammalian genes | 2026-02-14 02:07:52 | 2 | |||||
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1000 Genomes Project and AWS Resource Report Resource Website 5000+ mentions |
1000 Genomes Project and AWS (RRID:SCR_008801) | 1000 Genomes Project and AWS | data or information resource, data set | A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow. | genomic data, genome, cloud computing, cloud, human, gene, genetic variation, research, dna |
is used by: HmtVar has parent organization: Amazon Web Services |
nlx_144340 | SCR_008801 | 1000 Genomes Project and Amazon Web Services, 000 Genomes Project Amazon Web Services, 1000 Genomes Project AWS | 2026-02-14 02:07:55 | 7075 | ||||||||
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Algal Functional Annotation Tool Resource Report Resource Website |
Algal Functional Annotation Tool (RRID:SCR_012034) | Algal Functional Annotation Tool | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Tools to search gene lists for functional term enrichment as well as to dynamically visualize proteins onto pathway maps. Additionally, integrated expression data may be used to discover similarly expressed genes based on a starting gene of interest. | gene, pathway, visualization, annotation, function, protein family, ontology, protein, genomics |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: MetaCyc is related to: Reactome is related to: Pfam is related to: InterPro has parent organization: University of California at Los Angeles; California; USA |
DOE ; NAABB ; IGP ; Air Force Office of Scientific Research |
PMID:21749710 | OMICS_02226 | SCR_012034 | 2026-02-15 09:20:08 | 0 | |||||||
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Zebra Finch Expression Brain Atlas Resource Report Resource Website 10+ mentions |
Zebra Finch Expression Brain Atlas (RRID:SCR_012988) | ZEBrA | atlas, data or information resource, expression atlas, database | Expression atlas of in situ hybridization images from large collection of genes expressed in brain of adult male zebra finches. Goal of ZEBrA project is to develop publicly available on-line digital atlas that documents expression of large collection of genes within brain of adult male zebra finches. | gene, expression, brain, in-situ, hybridization, taeniopygia, vocal learning, anatomical, atlas, data set, molecular neuroanatomy, adult, male, gene, image, bird, image, avian | has parent organization: Oregon Health and Science University; Oregon; USA | NINDS R03 NS059755; NIGMS R24 GM092842 |
Free, Freely available | nif-0000-24345, SCR_000641, nlx_152091 | http://ignrhnet.ohsu.edu/finch/songbird/index.php | SCR_012988 | zebra, , Zebra Finch Expression Brain Atlas, atlas, Zebra Finch Brain Atlas, ZEBrA, finch | 2026-02-15 09:20:23 | 38 | |||||
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Virus Pathogen Resource (ViPR) Resource Report Resource Website 100+ mentions |
Virus Pathogen Resource (ViPR) (RRID:SCR_012983) | ViPR | software application, data visualization software, database, software resource, data processing software, service resource, storage service resource, data repository, data or information resource | Provides searchable public repository of genomic, proteomic and other research data for different strains of pathogenic viruses along with suite of tools for analyzing data. Data can be shared, aggregated, analyzed using ViPR tools, and downloaded for local analysis. ViPR is an NIAID-funded resource that support the research of viral pathogens in the NIAID Category A-C Priority Pathogen lists and those causing (re)emerging infectious diseases. It provides a dedicated gateway to SARS-CoV-2 data that integrates data from external sources (GenBank, UniProt, Immune Epitope Database, Protein Data Bank), direct submissions, analysis pipelines and expert curation, and provides a suite of bioinformatics analysis and visualization tools for virology research. | flu, gene, bioinformatic, database, diagnostic, genomic, health, human, influenza, pathogen, protein, research, strain, therapeutic, tool, vaccine, virus, visualization, FASEB list |
is recommended by: National Library of Medicine is listed by: Data and Computational Resources to Address COVID-19 is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing has parent organization: University of Texas Southwestern Medical Center; Texas; USA |
COVID-19 | NIAID | Restricted | nif-0000-25312, DOI:10.35083, DOI:10.35084, DOI:10.17616/R30P93, DOI:10.25504/FAIRsharing.2qx8n8 | http://www.viprbrc.org/ https://doi.org/10.17616/r30p93 https://doi.org/10.35083/ https://doi.org/10.35084/ https://dx.doi.org/10.35083/ https://dx.doi.org/10.35084/ https://fairsharing.org/10.25504/FAIRsharing.2qx8n8 |
SCR_012983 | Virus Pathogen Resource, ViPR | 2026-02-15 09:20:39 | 140 | ||||
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PIAGE Resource Report Resource Website |
PIAGE (RRID:SCR_013124) | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, ms-windows, linux | is listed by: Genetic Analysis Software | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154534, SCR_009372, nlx_154594 | SCR_013124 | R/PIAGE, Power of Indirect Association Studies of Gene-Environment Interactions | 2026-02-15 09:20:42 | 0 | ||||||||
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BOOST Resource Report Resource Website 10+ mentions |
BOOST (RRID:SCR_013133) | BOOST | software application, data processing software, software resource, data analysis software | Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies. | gene, genetic, genomic, logistic regression model, gene-gene interactions | is listed by: Genetic Analysis Software | Free, Available for download | nlx_154249 | SCR_013133 | BOolean Operation based Screening and Testing | 2026-02-15 09:20:24 | 32 | |||||||
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edgeR Resource Report Resource Website 10000+ mentions |
edgeR (RRID:SCR_012802) | edgeR | software application, data processing software, data analysis software, software resource | Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication. | empirical, analysis, digital, gene, expression, data, R, RNA-seq data, bio.tools |
is used by: Glimma is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: SARTools is related to: Bioconductor works with: tximport |
NHMRC 406657; Independent Research Institutes Infrastructure Support Scheme 361646; Victorian State Government OIS grant ; Melbourne International Research Scholarship ; Harris and IBS Honours scholarships |
PMID:19910308 DOI:10.1093/bioinformatics/btp616 |
Free, Available for download, Freely available | OMICS_01308, biotools:edger | https://bio.tools/edger https://sources.debian.org/src/r-bioc-edger/ |
SCR_012802 | edgeR, empirical analysis of digital gene expression data in R, Empirical analysis of Digital Gene Expression data in R | 2026-02-15 09:20:39 | 21899 | ||||
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KEGG Resource Report Resource Website 10000+ mentions |
KEGG (RRID:SCR_012773) | KEGG | portal, data analysis service, database, software resource, data access protocol, web service, service resource, production service resource, data or information resource, topical portal, analysis service resource | Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies. | model, pathway, functional hierarchy, module, cancer, disease, drug, drug classification, orthology, ortholog, genome, gene, protein, compound, classification, biochemical reaction, pathway, ligand, biosynthesis, pathway prediction, sequence, chemical structure, human, enzyme, database, molecular interaction, metabolism, metabolomics, cellular process, structure, drug development, reaction, cell |
is used by: NIF Data Federation is used by: Arabidopsis Reactome is used by: LIPID MAPS Proteome Database is used by: globaltest is used by: MitoMiner is used by: Database for Annotation Visualization and Integrated Discovery is used by: Biochemical Pathways Reaction Kinetics Database is used by: Ultimate Rough Aggregation of Metabolic Map is used by: GEMINI is used by: In vivo - In silico Metabolite Database is listed by: 3DVC is listed by: OMICtools is affiliated with: Kyoto Encyclopedia of Genes and Genomes Expression Database is related to: PathCase Pathways Database System is related to: ExplorEnz is related to: NCBI BioSystems Database is related to: Allen Institute Neurowiki is related to: eQuilibrator is related to: GeneTrail is related to: KegTools is related to: PRODORIC is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: METLIN is related to: Kidney and Urinary Pathway Knowledge Base is related to: DAVID is related to: ConsensusPathDB is related to: ENZYME is related to: FlyMine is related to: Babelomics is related to: SynSysNet is related to: Cotton EST Database is related to: Integrated Molecular Interaction Database is related to: SEGS is related to: INMEX is related to: BioExtract is related to: ClueGO is related to: MalaCards is related to: TrED is related to: FunTree is related to: MOPED - Model Organism Protein Expression Database is related to: ProOpDB is related to: KOBAS is related to: GeneTerm Linker is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: GeneCodis is related to: FunNet - Transcriptional Networks Analysis is related to: LegumeIP is related to: Algal Functional Annotation Tool is related to: aGEM is related to: DINIES is related to: KEGG PATHWAY Database is related to: ShinyGO is related to: KEGGREST has parent organization: Kyoto University; Kyoto; Japan has parent organization: University of Tokyo; Tokyo; Japan is parent organization of: KegTools works with: DIANA-mirPath works with: MiMeDB |
Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Japan Science and Technology Agency |
PMID:22700311 PMID:22130871 PMID:22080510 PMID:19880382 PMID:19172790 PMID:18428742 PMID:18287706 PMID:18077471 PMID:16381885 PMID:16014746 PMID:14681412 PMID:12539951 PMID:11752249 PMID:10928937 PMID:10592173 PMID:9847135 |
Restricted | nlx_31015, OMICS_01583, OMICS_03010, OMICS_01582, OMICS_03974, OMICS_05434, OMICS_05360 | http://www.genome.jp/kegg/ | SCR_012773 | KEGG - Kyoto Encyclopedia of Genes and Genomes, Kyoto Encyclopedia of Genes and Genomes | 2026-02-15 09:20:21 | 75877 | ||||
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Sequencing of Candida Albicans Resource Report Resource Website 10+ mentions |
Sequencing of Candida Albicans (RRID:SCR_013437) | topical portal, data or information resource, portal | The Stanford Genome Technology Center began a whole genome shotgun sequencing of strain SC5314 of Candida albicans. After reaching its original goal of 1.5X mean coverage of the haploid genome (16Mb) in summer, 1998, Stanford was awarded a supplemental grant to continue sequencing up to a coverage of 10X, performing as much assembly of the sequence as possible, using recognizable genes as nucleation points. Candida albicans is one of the most commonly encountered human pathogens, causing a wide variety of infections ranging from mucosal infections in generally healthy persons to life-threatening systemic infections in individuals with impaired immunity. Oral and esophogeal Candida infections are frequently seen in AIDS patients. Few classes of drugs are effective against these fungal infections, and all of them have limitations with regard to efficacy and side-effects. | stanford, genome, technology, shotgun, sequencing, strain, haploid, gene, nucleation, health, life, aids, drug, patient | has parent organization: Stanford University; Stanford; California | Burroughs Wellcome Fund ; NIDCR DE12302-02S2; NIAID RO1AI16567; NIAID RO1AI46351; NIAID NO1AI05406; NIDCR R01DE12940; NIDCR P01DE07946 |
nif-0000-30294 | SCR_013437 | Candida Albicans | 2026-02-15 09:20:41 | 21 | ||||||||
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L2L Microarray Analysis Tool Resource Report Resource Website 1+ mentions |
L2L Microarray Analysis Tool (RRID:SCR_013440) | L2L | software application, data analysis service, data processing software, software resource, database, service resource, storage service resource, production service resource, data repository, data or information resource, analysis service resource, data analysis software |
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on August 26, 2019. Database of published microarray gene expression data, and a software tool for comparing that published data to a user''''s own microarray results. It is very simple to use - all you need is a web browser and a list of the probes that went up or down in your experiment. If you find L2L useful please consider contributing your published data to the L2L Microarray Database in the form of list files. L2L finds true biological patterns in gene expression data by systematically comparing your own list of genes to lists of genes that have been experimentally determined to be co-expressed in response to a particular stimulus - in other words, published lists of microarray results. The patterns it finds can point to the underlying disease process or affected molecular function that actually generated the observed changed in gene expression. Its insights are far more systematic than critical gene analyses, and more biologically relevant than pure Gene Ontology-based analyses. The publications included in the L2L MDB initially reflected topics thought to be related to Cockayne syndrome: aging, cancer, and DNA damage. Since then, the scope of the publications included has expanded considerably, to include chromatin structure, immune and inflammatory mediators, the hypoxic response, adipogenesis, growth factors, hormones, cell cycle regulators, and others. Despite the parochial origins of the database, the wide range of topics covered will make L2L of general interest to any investigator using microarrays to study human biology. In addition to the L2L Microarray Database, L2L contains three sets of lists derived from Gene Ontology categories: Biological Process, Cellular Component, and Molecular Function. As with the L2L MDB, each GO sub-category is represented by a text file that contains annotation information and a list of the HUGO symbols of the genes assigned to that sub-category or any of its descendants. You don''''t need to download L2L to use it to analyze your microarray data. There is an easy-to-use web-based analysis tool, and you have the option of downloading your results so you can view them at any time on your own computer, using any web browser. However, if you prefer, the entire L2L project, and all of its components, can be downloaded from the download page. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible |
microarray, gene expression, adipogenesis, biological, biological process, cancer, cell cycle regulator, cellular component, chromatin, cockayne syndrome, dna damage, growth factor, hormone, human biology, hypoxic response, immune mediator, inflammatory mediator, molecular function, molecular neuroanatomy resource, adipocyte, development, hypoxia, immune, inflammation, metabolism, mitogen, neuro, rna, vascular, transcription, tissue, splicing, mouse, human, rat, source code, statistical analysis, gene, chromatin structure |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Washington; Seattle; USA |
Cockayne syndrome, DNA damage, Other, Aging, Cancer | Cora May Poncin Foundation ; NIGMS GM41624 |
PMID:16168088 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10463 | http://depts.washington.edu/l2l/about.html | SCR_013440 | L2L Microarray Database, L2L Microarray Analysis Tool: A simple tool for discovering the hidden biological significance in microarray expression data, L2L MDB | 2026-02-15 09:20:28 | 1 | |||
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PlasmoDB Resource Report Resource Website 1000+ mentions |
PlasmoDB (RRID:SCR_013331) | data analysis service, database, software resource, data access protocol, web service, service resource, storage service resource, production service resource, data repository, data or information resource, analysis service resource | Functional genomic database for malaria parasites. Database for Plasmodium spp. Provides resource for data analysis and visualization in gene-by-gene or genome-wide scale. PlasmoDB 5.5 contains annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution data. Data can be queried by selecting from query grid or drop down menus. Results can be combined with each other on query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.Key community database for malaria researchers, intersecting many types of laboratory and computational data, aggregated by gene. | Functional, genomic, database, malaria, parasite, data, analysis, visualization, gene, genome, annotation, transcription, proteomics, protein, evolution, FASEB list |
uses: SynView is related to: GeneDB Pfalciparum has parent organization: Eukaryotic Pathogen Database Resources has parent organization: Pennsylvania State University has parent organization: University of Georgia; Georgia; USA |
malaria | NIAID | PMID:18957442 | nif-0000-03314, SCR_017665 | SCR_013331 | PlasmoDB, Plasmodium Genomics Resource, PlasmoDB 5.5, Plasmodium genome-resource | 2026-02-15 09:20:44 | 1239 | ||||||
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PiGenome Resource Report Resource Website |
PiGenome (RRID:SCR_013394) | PiGenome | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Database for ESTs (Expressed Sequence Tags), consensus sequences, bacterial artificial chromosome (BAC) clones, BES (BAC End Sequences). They have generated 69,545 ESTs from 6 full-length cDNA libraries (Porcine Abdominal Fat, Porcine Fat Cell, Porcine Loin Muscle, Liver and Pituitary gland). They have also identified a total of 182 BAC contigs from chromosome 6. It is very valuable resources to study porcine quantitative trait loci (QTL) mapping and genome study. Users can explore genomic alignment of various data types, including expressed sequence tags (ESTs), consensus sequences, singletons, QTL, Marker, UniGene and BAC clones by several options. To estimate the genomic location of sequence dataset, their data aligned BES (BAC End Sequences) instead of genomic sequence because Pig Genome has low-coverage sequencing data. Sus scrofa Genome Database mainly provide comparative map of four species (pig, cattle, dog and mouse) in chromosome 6. | gene expression, genome, sequence, gene, expressed sequence tag, consensus sequence, bac clone, bac end sequence, bac contig, quantitative trait loci, singleton, marker, unigene, chromosome 6, blast, transcript, bacterial artificial chromosome, snp, alignment |
is related to: Gene Ontology has parent organization: National Institute of Animal Science; Gyeonggi-do; South Korea |
National Institute of Animal Science; Gyeonggi-do; Korea ; Korean Rural Development Administration ; Biogreen21 Project 20050301034467 |
PMID:19082661 | nlx_153888 | http://pigenome.nabc.go.kr/ | SCR_013394 | Sus scrofa Genome database, Pig Genome Database, Pigenome database | 2026-02-15 09:20:43 | 0 | |||||
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GeneSigDB Resource Report Resource Website 10+ mentions |
GeneSigDB (RRID:SCR_013275) | GeneSigDB | data analysis service, software resource, database, data access protocol, web service, service resource, storage service resource, production service resource, data repository, data or information resource, analysis service resource | Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service. | gene, gene signature, curated gene signature, gene expression, gene expression signature, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: Computational Biology and Functional Genomics Laboratory at Harvard |
Cancer | Genome Research Institute ; Dana-Farber Cancer Institute ; Women's Cancers Program ; Claudia Adams Barr Foundation ; NLM 1R01 LM010129; NCI 1U19 CA148065; NHGRI 1P50 HG004233 |
PMID:22110038 | biotools:genesigdb, nlx_149342 | https://bio.tools/genesigdb | SCR_013275 | Gene Signature Data Base, GeneSigDB - Curated Gene Signatures Database | 2026-02-15 09:20:42 | 24 | ||||
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ENIGMA Resource Report Resource Website 100+ mentions |
ENIGMA (RRID:SCR_013400) | software application, data processing software, data analysis software, software resource | A software tool to extract gene expression modules from perturbational microarray data, based on the use of combinatorial statistics and graph-based clustering. The modules are further characterized by incorporating other data types, e.g. GO annotation, protein interactions and transcription factor binding information, and by suggesting regulators that might have an effect on the expression of (some of) the genes in the module. Version : ENIGMA 1.1 used GO annotation version : Aug 29th 2007 | genome, gene, genetic software, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Ghent University; Ghent; Belgium is parent organization of: ENIGMA-DTI Pipeline |
PMID:18402676 | biotools:enigma, nlx_144365 | https://bio.tools/enigma | SCR_013400 | 2026-02-15 09:20:27 | 130 | ||||||||
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R/FEST Resource Report Resource Website 1+ mentions |
R/FEST (RRID:SCR_013347) | software application, software resource | An R package for simulations and likelihood calculations of pair-wise family relationships using DNA marker data. (entry from Genetic Analysis Software) | gene, genetic, genomic, r | is listed by: Genetic Analysis Software | nlx_154111, SCR_000830, nlx_154582 | SCR_013347 | FEST | 2026-02-15 09:20:45 | 2 |
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