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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) Resource Report Resource Website 50+ mentions |
National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS) (RRID:SCR_007314) | NIAGADS | data repository, storage service resource, data set, data or information resource, service resource, database | National genetics data repository facilitating access to genotypic and phenotypic data for Alzheimer's disease (AD). Data include GWAS, whole genome (WGS) and whole exome (WES), expression, RNA Seq, and CHIP Seq analyses. Data for the Alzheimer’s Disease Sequencing Project (ADSP) are available through a partnership with dbGaP (ADSP at dbGaP). Repository for many types of data generated from NIA supported grants and/or NIA funded biological samples. Data are deposited at NIAGADS or NIA-approved sites. Genetic Data and associated Phenotypic Data are available to qualified investigators in scientific community for secondary analysis. | genetics, alzheimer's disease, genome-wide association study, neurodegenerative disease, genotype, phenotype, late adult human, dna marker, dna sequencing, rna expression, rna, dna, gene |
is recommended by: National Library of Medicine is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Data Sharing Repositories is related to: Allen Institute for Brain Science has parent organization: University of Pennsylvania Perelman School of Medicine; Pennsylvania; USA |
Alzheimer's disease, Late-onset Alzheimer's disease, Aging | NIH Blueprint for Neuroscience Research ; NIA U24 AG041689; NIA 3U24AG041689 |
nif-0000-00179 | http://www.nitrc.org/projects/niagads http://alois.med.upenn.edu/niagads/ | SCR_007314 | National Institute on Aging, NIA Genetics of Alzheimer's Disease Data Storage Site, Genetics of Alzheimer’s Disease Data Storage Site | 2026-02-14 02:01:24 | 60 | |||||
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Biological General Repository for Interaction Datasets (BioGRID) Resource Report Resource Website 1000+ mentions |
Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) | BioGRID | data or information resource, database | Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. | budding yeast, fission yeast, protein, gene, protein interaction, genetic interaction, model organism, interaction, dataset, gene annotation, phenotype, orthologous interaction, yeast, cellular interaction network, physical interaction, protein-peptide, protein-rna, protein-protein interaction, genetics, publication, raw protein, genetic interaction, web service, pathway, network, biology, gene mapping, statistics, bio.tools, FASEB list |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: DataCite is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: Pathway Commons is related to: Cytoscape is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: FlyMine is related to: IMEx - The International Molecular Exchange Consortium is related to: Integrated Molecular Interaction Database is related to: PSICQUIC Registry is related to: PSI-MI is related to: NIH Data Sharing Repositories is related to: Agile Protein Interactomes DataServer is related to: Integrated Manually Extracted Annotation has parent organization: Princeton University; New Jersey; USA has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: University of Montreal; Quebec; Canada works with: IMEx - The International Molecular Exchange Consortium |
NCRR R01 RR024031; NHGRI HG02223; Canadian Institutes of Health Research ; BBSRC ; NIH Office of the Director R24 OD011194 |
PMID:23203989 PMID:21071413 PMID:16381927 PMID:12620108 |
Free, Freely available | nif-0000-00432, r3d100010350, OMICS_01901, biotools:the_grid | https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources https://bio.tools/the_grid https://doi.org/10.17616/R34C7G |
SCR_007393 | , BioGRID, Biological General Repository for Interaction Datasets | 2026-02-14 02:01:30 | 2554 | ||||
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Genetics of Learning Disability Study Resource Report Resource Website 1+ mentions |
Genetics of Learning Disability Study (RRID:SCR_007266) | data or information resource, portal, topical portal | The Genetics of Learning Disability (GOLD) Study is aimed to identify the genes on the X chromosome that contribute to significant intellectual disability and to lead the way towards greater understanding of the mechanisms by which intellectual disability occurs. Ultimately the aim is to improve the services available to affected families. Sponsors: The work was supported by the European Community''s Seventh Framework Programme-the GEN2PHEN Project, the New South Wales Department of Health, the Australian NHMRC, the SMILE foundation, the WCH Foundation, D. Harwood, EU grant QLG3-CT- 2002-01810 (EURO-MRX), US National Institutes of Health (HD26202) to C.E.S., the South Carolina Department of Disabilities and Special Needs (SCDDSN), Action Medical Research and the Wellcome Trust. | study, genetics, learning, disability, gene | has parent organization: University of Cambridge; Cambridge; United Kingdom | nif-0000-30285 | SCR_007266 | GOLD Study | 2026-02-14 02:01:20 | 6 | |||||||||
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Electronic Cell Project Resource Report Resource Website 10+ mentions |
Electronic Cell Project (RRID:SCR_007381) | software resource, simulation software, modeling software, software application | Software platform, general technologies and theoretical supports for computational biology with the grand aim to make precise whole cell simulation at the molecular level possible.Technologies include formalisms and techniques, including technologies to predict, obtain or estimate parameters such as reaction rates and concentrations of molecules in the cell. The E-Cell System is a software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale system like the cell. The E-Cell Project is open to anyone who shares the view with u that development of cell simulation technology, and, even if such ultimate goal might not be within ten years of reach yet, solving various conceptual, computational and experimental problems that will continue to arise in the course of pursuing it, may have a multitude of eminent scientific, medical and engineering impacts on our society. | gene, protein, ontology, binary executable; software development tool, cell | is listed by: Debian | nif-0000-00378 | https://sources.debian.org/src/ecell/ | SCR_007381 | E-Cell | 2026-02-14 02:01:22 | 15 | ||||||||
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Center for Inherited Disease Research Resource Report Resource Website 100+ mentions |
Center for Inherited Disease Research (RRID:SCR_007339) | CIDR | training service resource, analysis service resource, resource, material analysis service, production service resource, biomaterial analysis service, service resource, data computation service | Next generation sequencing and genotyping services provided to investigators working to discover genes that contribute to disease. On-site statistical geneticists provide insight into analysis issues as they relate to study design, data production and quality control. In addition, CIDR has a consulting agreement with the University of Washington Genetics Coordinating Center (GCC) to provide statistical and analytical support, most predominantly in the areas of GWAS data cleaning and methods development. Completed studies encompass over 175 phenotypes across 530 projects and 620,000 samples. The impact is evidenced by over 380 peer-reviewed papers published in 100 journals. Three pathways exist to access the CIDR genotyping facility: * NIH CIDR Program: The CIDR contract is funded by 14 NIH Institutes and provides genotyping and statistical genetic services to investigators approved for access through competitive peer review. An application is required for projects supported by the NIH CIDR Program. * The HTS Facility: The High Throughput Sequencing Facility, part of the Johns Hopkins Genetic Resources Core Facility, provides next generation sequencing services to internal JHU investigators and external scientists on a fee-for-service basis. * The JHU SNP Center: The SNP Center, part of the Johns Hopkins Genetic Resources Core Facility, provides genotyping to internal JHU investigators and external scientists on a fee-for-service basis. Data computation service is included to cover the statistical genetics services provided for investigators seeking to identify genes that contribute to human disease. Human Genotyping Services include SNP Genome Wide Association Studies, SNP Linkage Scans, Custom SNP Studies, Cancer Panel, MHC Panels, and Methylation Profiling. Mouse Genotyping Services include SNP Scans and Custom SNP Studies. | gene, genome, array, custom, dna, genome wide association study, genotyping, genotyping service, linkage scan, methylation profiling, hereditary disease, single gene disorder, snp, statistical genetics, whole genome, whole exome, exome sequencing, high throughput sequencing, single nucleotide polymorphism, sequencing, disease |
is listed by: NIDDK Information Network (dkNET) has parent organization: Johns Hopkins University; Maryland; USA |
Aging | NHGRI ; NCI ; NEI ; NIA ; NIAAA ; NIAMS ; NICHD ; NIDA ; NIDCD ; NIDCR ; NIDDK ; NIEHS ; NIMH ; NINDS ; NHGRI N01-HG-65403; US Department of Health and Human Services HHSN268200782096C; S Department of Health and Human Services HHSN268201100011I; S Department of Health and Human Services HHSN268201200008I; NHGRI U01HG004438; NHGRI U54HG006542 |
nif-0000-00223 | SCR_007339 | CIDR - Center for Inherited Disease Research | 2026-02-14 02:01:21 | 206 | ||||||
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CardioGenomics Resource Report Resource Website 1+ mentions |
CardioGenomics (RRID:SCR_007248) | CardioGenomics | data or information resource, portal, topical portal | The primary goal of the CardioGenomics PGA is to begin to link genes to structure, function, dysfunction and structural abnormalities of the cardiovascular system caused by clinically relevant genetic and environmental stimuli. The principal biological theme to be pursued is how the transcriptional network of the cardiovascular system responds to genetic and environmental stresses to maintain normal function and structure, and how this network is altered in disease. This PGA will generate a high quality, comprehensive data set for the functional genomics of structural and functional adaptation of the cardiovascular system by integrating expression data from animal models and human tissue samples, mutation screening of candidate genes in patients, and DNA polymorphisms in a well characterized general population. Such a data set will serve as a benchmark for future basic, clinical, and pharmacogenomic studies. Training and education are also a key focus of the CardioGenomics PGA. In addition to ongoing journal clubs and seminars, the PGA will be sponsoring symposia at major conferences, and developing workshops related to the areas of focus of this PGA. Information regarding upcoming events can be found in the Events section of this site, and information about training and education opportunities sponsored by CardioGenomics can be found on the Teaching and Education page. The CardioGenomics project came to a close in 2005. This server, cardiogenomics.med.harvard.edu, remains online in order to continue to distribute data that was generated by investigators under the auspices of the CardioGenomics Program for Genomic Applications (PGA). :Sponsors: This resource is supported by The National Heart, Lung and Blood Institute (NHLBI) of the NIH., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genomics, clinical, genetic, environmental, stimulus, cardiovascular, disease, data, expression, gene, dna, polymorphism, population, pharmacogenomic, training, education | has parent organization: Harvard University; Cambridge; United States | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30296 | http://www.cardiogenomics.org | SCR_007248 | The CardioGenomics Project | 2026-02-14 02:01:28 | 6 | ||||||
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eMERGE Network: electronic Medical Records and Genomics Resource Report Resource Website 1+ mentions |
eMERGE Network: electronic Medical Records and Genomics (RRID:SCR_007428) | eMERGE | data or information resource, portal, topical portal | A national consortium formed to develop, disseminate, and apply approaches to research that combine DNA biorepositories with electronic medical record (EMR) systems for large-scale, high-throughput genetic research. The consortium is composed of seven member sites exploring the ability and feasibility of using EMR systems to investigate gene-disease relationships. Themes of bioinformatics, genomic medicine, privacy and community engagement are of particular relevance to eMERGE. The consortium uses data from the EMR clinical systems that represent actual health care events and focuses on ethical issues such as privacy, confidentiality, and interactions with the broader community. | human, clinical, dna, alzheimer's disease, genome, genomics, gene, genetic, nervous system disease, nucleotide polymorphism, phenotype, bioinformatics, genomic medicine, privacy, community engagement, emr, electronic medical record |
is related to: PheKB is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: PheWAS Catalog has parent organization: Vanderbilt University; Tennessee; USA |
Aging | NIGMS ; NHGRI |
Available to the research community | nif-0000-00539 | SCR_007428 | eMERGE Network: electronic Medical Records & Genomics - A consortium of biorepositories linked to electronic medical records data for conducting genomics studies, eMERGE Network: electronic Medical Records Genomics, eMERGE Network: electronic Medical Records & Genomics, eMERGE Network, electronic Medical Records & Genomics, The eMERGE Network: electronic Medical Records & Genomics | 2026-02-14 02:01:32 | 2 | |||||
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aneurIST Resource Report Resource Website 1+ mentions |
aneurIST (RRID:SCR_007427) | aneurIST | disease-related portal, data or information resource, portal, topical portal | Project focused on cerebral aneurysms and provides integrated decision support system to assess risk of aneurysm rupture in patients and to optimize their treatments. IT infrastructure has been developeded for management and processing of vast amount of heterogeneous data acquired during diagnosis. | gene, genetic, adult, cerebral aneurysm, cerebral brain hemorrhage, cerebral hemorrhage, cerebral parenchymal hemorrhage, cerebral hemorrhage, clinical, genomic, human, intracerebral hemorrhage, intracranial aneurysm, subarachnoid hemorrhage, risk, aneurysm rupture, patient, treatment, infrastructure, platform, genomics, disease, personalized risk assessment, bioinformatics, clinical, data management, data integration, data processing, software tool, cerebrum | has parent organization: Pompeu Fabra University; Barcelona; Spain | Cerebral aneurysm, Subarachnoid hemorrhage, Aging | European Union ; Sixth FPPriority 2 of the Information Society Technologies IST |
nif-0000-00538 | http://www.cilab.upf.edu/aneurist1/ | SCR_007427 | aneurIST - Integrated Biomedical Informatics for the Management of Cerebral Aneurysms, (at)neurIST, (at)neurIST - Integrated Biomedical Informatics for the Management of Cerebral Aneurysms | 2026-02-14 02:01:26 | 3 | |||||
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Allen Human Brain Atlas Resource Report Resource Website 100+ mentions |
Allen Human Brain Atlas (RRID:SCR_007416) | data visualization software, data processing software, data or information resource, atlas, software application, software resource, database | Multi modal atlas of human brain that integrates anatomic and genomic information, coupled with suite of visualization and mining tools to create open public resource for brain researchers and other scientists. Data include magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), histology and gene expression data derived from both microarray and in situ hybridization (ISH) approaches. Brain Explorer 2 is desktop software application for viewing human brain anatomy and gene expression data in 3D. | atlas, human, brain, anatomic, genomic, data, visualization, mining, tool, MRI, DTI, histology, gene, expression |
is related to: Speech Language Disorders Database has parent organization: Allen Institute for Brain Science has parent organization: Allen Brain Atlas |
Individual private donors ; U.S. Department of Health and Human Services 1C76HF15069; U.S. Department of Health and Human Services 1C76HF19619 |
PMID:23041053 | Free, Available for download, Freely available | nif-0000-00506 | http://humancortex.alleninstitute.org, http://human.brain-map.org/ | SCR_007416 | Human Cortex Study, Allen Institute for Brain Science Human Cortex Study, Allen Brain Atlas - Human Brain | 2026-02-14 02:01:32 | 135 | |||||
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ARGONAUTE 2 - A database on mammalian microRNAs and their function in gene and pathway regulation Resource Report Resource Website 1+ mentions |
ARGONAUTE 2 - A database on mammalian microRNAs and their function in gene and pathway regulation (RRID:SCR_007553) | data or information resource, database, data computation service | A database is a of mammalian miRNAs and their known or predicted regulatory targets. It provides information on origin of miRNAs, tissue specificity of their expressions and their known or proposed functions, their potential target genes as well as data on miRNA families based on their co-expression and proteins known to be involved in miRNA processing. This database also contains three other navigation tools that can be used to find information relating to miRNA: 1.) Gene Annotations is an information retrieval system for miRNA target genes. It provides comprehensive information from sequence databases and allows to simultaneously search PubMed with all synonyms of a given gene. 2.) miRNA Motif Finder - Argonaute predicts miRNA motifs binding to the gene sequence of the user. The miRNA mature sequences are taken from Agronaute 2 database. miRNA Motif Finder - Custom predicts miRNA motifs binding to the gene sequence, both the gene sequence and miRNA mature sequences provided by the user. 3.) miRNA Statistics provides statistics for the mature miRNA sequences from Argonaute 2 as well as for the miRNA sequences uploaded by the user. It provides statitics on the individual nucleotide as well as pattern of nucleotides apperaing in the sequence. | gene, metabolic and signaling pathways, mirna, protein-protein interaction, rna sequence database | has parent organization: Heidelberg University; Baden-Wurttemberg; Germany | Deutsche Forschungsgemein ; Federal Ministry of Research and Education |
nif-0000-02567 | http://argonaute.uni-hd.de | SCR_007553 | ARGONAUTE | 2026-02-14 02:01:33 | 1 | |||||||
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T1DBase Resource Report Resource Website 100+ mentions |
T1DBase (RRID:SCR_007959) | data repository, storage service resource, resource, data or information resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 26,2019. In October 2016, T1DBase has merged with its sister site ImmunoBase (https://immunobase.org). Documented on March 2020, ImmunoBase ownership has been transferred to Open Targets (https://www.opentargets.org). Results for all studies can be explored using Open Targets Genetics (https://genetics.opentargets.org). Database focused on genetics and genomics of type 1 diabetes susceptibility providing a curated and integrated set of datasets and tools, across multiple species, to support and promote research in this area. The current data scope includes annotated genomic sequences for suspected T1D susceptibility regions; genetic data; microarray data; and global datasets, generally from the literature, that are useful for genetics and systems biology studies. The site also includes software tools for analyzing the data. | genetics, beta cell, gene, variant, region, genomics, gene expression, genome-wide association study, data analysis service, bio.tools |
is used by: NIF Data Federation is used by: NIDDK Information Network (dkNET) is listed by: NIDDK Information Network (dkNET) is listed by: Debian is listed by: bio.tools is related to: dkCOIN has parent organization: University of Cambridge; Cambridge; United Kingdom |
Type 1 diabetes. Diabetes | Wellcome Trust ; NIDDK ; Juvenile Diabetes Research Foundation |
PMID:20937630 | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-03531, biotools:t1dbase | https://bio.tools/t1dbase | SCR_007959 | T1DBase - Type 1 Diabetes Database | 2026-02-14 02:01:34 | 145 | ||||
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R/TDTHAP Resource Report Resource Website 1+ mentions |
R/TDTHAP (RRID:SCR_007625) | software resource, software application | Software package for TDT with extended haplotypes in the R language. R is the public domain dialect of S. It should be possible to port this library to the commercial Splus product. The main problem would be translation of the help files. (entry from Genetic Analysis Software) | gene, genetic, genomic, r/splus | is listed by: Genetic Analysis Software | nlx_154676, nlx_154602, SCR_000851 | http://www-gene.cimr.cam.ac.uk/clayton/software/ | SCR_007625 | TDTHAP | 2026-02-14 02:01:33 | 1 | ||||||||
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INFEVERS Resource Report Resource Website 10+ mentions |
INFEVERS (RRID:SCR_007738) | Infevers | data repository, storage service resource, data set, data or information resource, service resource | Registry for Familial Mediterranean Fever (FMF) and hereditary inflammatory disorders mutations. As of 2014, it includes twenty genes including: MEFV, MVK, TNFRSF1A, NLRP3, NOD2, PSTPIP1, LPIN2 and NLRP7, and contains over 1338 sequence variants. Confidential data, simple and complex alleles are accepted. For each gene, a menu offers: 1) a tabular list of the variants that can be sorted by several parameters; 2) a gene graph providing a schematic representation of the variants along the gene; 3) statistical analysis of the data according to the phenotype, alteration type, and location of the mutation in the gene; 4) the cDNA and gDNA sequences of each gene, showing the nucleotide changes along the sequence, with a color-based code highlighting the gene domains, the first ATG, and the termination codon; and 5) a download menu making all tables and figures available for the users, which, except for the gene graphs, are all automatically generated and updated upon submission of the variants. The entire database was curated to comply with the HUGO Gene Nomenclature Committee (HGNC) and HGVS nomenclature guidelines, and wherever necessary, an informative note was provided. | sequence variant, mutation, allele, genetics, dna, rna, protein, disease, heredity, inflammation, gene, function, phenotype, complex allele, simple allele, exon, intron, cdna sequence, genomic sequence, gdna, FASEB list |
is listed by: re3data.org is related to: Human Genome Variation Society is related to: HGNC |
Familial Mediterranean Fever, Auto-inflammatory Disorder, Hereditary Auto-inflammatory Disorder | European Union | PMID:18409191 PMID:15300846 PMID:12520003 |
Acknowledgement required, Free, Public | nif-0000-03022, r3d100010548 | http://fmf.igh.cnrs.fr/infevers https://doi.org/10.17616/R3B61B |
SCR_007738 | Internet Fevers | 2026-02-14 02:01:35 | 37 | |||
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MetaCore Resource Report Resource Website 1000+ mentions |
MetaCore (RRID:SCR_008125) | data analysis software, software resource, data processing software, software application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. An integrated software suite for functional analysis of experimental data. The scope of data types includes microarray and SAGE gene expression, SNPs and CGH arrays, proteomics, metabolomics, pathway analysis, Y2H and other custom interactions. MetaCore is based on a proprietary manually curated database of human protein-protein, protein-DNA and protein compound interactions, metabolic and signaling pathways and the effects of bioactive molecules in gene expression. | expression, gene, dna, interaction, metabolomics, microarray, pathway, protein, proteomic, software | is listed by: Metabolomics Workbench | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-20874 | http://www.genego.com/metacore.php | SCR_008125 | 2026-02-14 02:01:33 | 1182 | ||||||||
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MedGene Resource Report Resource Website 1+ mentions |
MedGene (RRID:SCR_008122) | software resource | An algorithm that generates lists of genes associated with a gene or one or more disorders. The algorithm can be used in high-throughput screening experiments, can create disease-specific micro-arrays, and can sort the results of gene profiling data. Based on the co-citations of all Medline records, MedGene can retrieve the following relationships: 1. A list of human genes associated with a particular human disease in ranking order 2. A list of human genes associated with multiple human diseases in ranking order 3. A list of human diseases associated with a particular human gene in ranking order 4. A list of human genes associated with a particular human gene in ranking order 5. The sorted gene list from other disease related high-throughput experiments, such as micro-array 6. The sorted gene list from other gene related high-throughput experiments, such as micro-array | gene, disease, human order, microarray | has parent organization: Harvard University; Cambridge; United States | nif-0000-20869 | SCR_008122 | MedGene | 2026-02-14 02:01:29 | 4 | |||||||||
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BraInSitu: A homepage for molecular neuroanatomy Resource Report Resource Website 1+ mentions |
BraInSitu: A homepage for molecular neuroanatomy (RRID:SCR_008081) | BraInSitu | experimental protocol, expression atlas, data or information resource, atlas, image, narrative resource, database | Database of detailed protocols for single and double in situ hybridization (ISH) method, probes used by Yamamori lab and others useful for studies of brain, and many photos of mammalian (mostly mouse and monkey) brains stained with various gene probes. Also includes a brain atlas of gene expression. Currently, the atlas comprises a series of un-annotated images showing the localization of a particular probe or molecule, e.g., AChE. | function, gene expression, gene, anatomical structure, brain, central nervous system, cerebral cortex, in situ hybridization, mammalian, neocortex, pcr cloning, probe, molecular neuroanatomy resource, neuroanatomy, in situ hybridization protocol | has parent organization: National Institute for Basic Biology; Okazaki; Japan | nif-0000-11633 | SCR_008081 | 2026-02-14 02:01:36 | 4 | |||||||||
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GoatMap Database Resource Report Resource Website |
GoatMap Database (RRID:SCR_008144) | data repository, storage service resource, portal, data or information resource, service resource, topical portal, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This website contains information about the mapping of the caprine genome. It contains loci list, phenes list, cartography, gene list, and other sequence information about goats. This website contains 731 loci, 271 genes, and 1909 homologue loci on 112 species. It also allows users to summit their own data for Goatmap. ARK-Genomics is not-for-profit and has collaborators from all over the world with an interest in farm animal genomics and genetics. ARK-Genomics was initially set up in 2000 with a grant awarded from the BBSRC IGF (Investigating Gene Function) initiative and from core resources of the Roslin Institute to provide a laboratory for automated analysis of gene expression using state-of-the-art genomic facilities. Since then, ARK-Genomics has expanded considerably, building up considerable expertise and resources. | farm, gene, animal, caprine, cartography, genome, genomic, goat, homologue, locus, map, mapping, phene, sequence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20978 | SCR_008144 | GoatMap | 2026-02-14 02:01:34 | 0 | |||||||||
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GeneNetWorks Resource Report Resource Website 1+ mentions |
GeneNetWorks (RRID:SCR_008034) | data visualization software, data processing software, data acquisition software, data or information resource, data analysis software, software application, software resource, database | GeneNetWorks is designed for accumulation of experimental data, data navigation, data analysis, and analysis of dependencies in the field of gene expression regulation. It integrates the databases and programs for processing the data about structure and function of DNA, RNA, and proteins, together with the other information resources important for gene expression description. The unique property of above described system is that all the resources within the system GeneNetWorks are divided according to the natural hierarchy of molecular genetic systems and has the following levels: (1) DNA; (2) RNA; (3) proteins; and (4) gene networks. Each module contains: 1) experimental data represented as a database or some sample; 2) program for data analysis; 3) results of an automated data processing; 4) tools for the graphical representation of these data and the results of the data analyses. | experimental, expression, gene, gene regulation, genetic, analysis, data, dna, graphical, molecular, navigation, network, program, protein, rna, software, system | nif-0000-10232 | SCR_008034 | GNW | 2026-02-14 02:01:32 | 1 | ||||||||||
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Gene Regulation Databases Resource Report Resource Website 100+ mentions |
Gene Regulation Databases (RRID:SCR_008033) | Gene Regulation Public Databases | data or information resource, portal, topical portal | In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers academic and non-profit organizations free access to reduced functionality versions of their products. TRANSFAC Professional provides gene regulation analysis solutions, offering the most comprehensive collection of eukaryotic gene regulation data. The professional paid subscription gives customers access to up-to-date data and tools not available in the free version. The public databases currently available for academic and non-profit organizations are: * TRANSFAC: contains data on transcription factors, their experimentally-proven binding sites, and regulated genes. Its broad compilation of binding sites allows the derivation of positional weight matrices. * TRANSPATH: provides data about molecules participating in signal transduction pathways and the reactions they are involved in, resulting in a complex network of interconnected signaling components.TRANSPATH focuses on signaling cascades that change the activities of transcription factors and thus alter the gene expression profile of a given cell. * PathoDB: is a database on pathologically relevant mutated forms of transcription factors and their binding sites. It comprises numerous cases of defective transcription factors or mutated transcription factor binding sites, which are known to cause pathological defects. * S/MARt DB: presents data on scaffold or matrix attached regions (S/MARs) of eukaryotic genomes, as well as about the proteins that bind to them. S/MARs organize the chromatin in the form of functionally independent loop domains gained increasing support. Scaffold or Matrix Attached Regions (S/MARs) are genomic DNA sequences through which the chromatin is tightly attached to the proteinaceous scaffold of the nucleus. * TRANSCompel: is a database on composite regulatory elements affecting gene transcription in eukaryotes. Composite regulatory elements consist of two closely situated binding sites for distinct transcription factors, and provide cross-coupling of different signaling pathways. * PathoSign Public: is a database which collects information about defective cell signaling molecules causing human diseases. While constituting a useful data repository in itself, PathoSign is also aimed at being a foundational part of a platform for modeling human disease processes. | element, eukaryote, eukaryotic, expression, functionally, gene, genome, alignment, bind, binding site, cell, chromatin, collaborative, component, coupling, disease, dna, domain, human, matrix, molecular weight, molecule, mononucleotide, network, nucleotide, nucleus, pathological, protein, region, regulated, regulatory, scientific research, sequence, signaling, signal pathway, transcription factor, molecular neuroanatomy resource |
lists: TRANSFAC has parent organization: BIOBASE Corporation |
BIOBASE | nif-0000-10230 | SCR_008033 | gene-regulation.com: Public Databases for Academic and Non-profit Organizations | 2026-02-14 02:01:35 | 130 | |||||||
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HPV Sequence Database Resource Report Resource Website 1+ mentions |
HPV Sequence Database (RRID:SCR_008154) | data or information resource, portal, database, topical portal | 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 August 23, 2016. The Human Papillomaviruses Database collects, curates, analyzes, and publishes genetic sequences of papillomaviruses and related cellular proteins. It includes molecular biologists, sequence analysts, computer technicians, post-docs and graduate research assistants. This Web site has two main branches. The first contains our four annual data books of papillomavirus information, called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. and the second contains papillomavirus genetic sequence data. There is also a New Items location where we store the latest changes to the database or any other current news of interest. Besides the compendium, we also provide genetic sequence information for papilloma viruses and related cellular proteins. Each year they publish a compendium of papillomavirus information called Human Papillomaviruses: A Compilation and Analysis of Nucleic Acid and Amino Acid Sequences. which can now be downloaded from this Web site. | gene, genetic, alignment, amino acid, biologist, cellular protein, genome, human, molecular, papilloma, papillomavirus, phylogenetic, sequence, virus | has parent organization: Los Alamos National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21000 | http://www.stdgen.lanl.gov/ | SCR_008154 | HPVSD | 2026-02-14 02:01:34 | 4 |
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