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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Cell Properties Database Resource Report Resource Website |
Cell Properties Database (RRID:SCR_007285) | CellPropDB | data or information resource, database | A repository for data regarding membrane channels, receptor and neurotransmitters that are expressed in specific types of cells. The database is presently focused on neurons but will eventually include other cell types, such as glia, muscle, and gland cells. This resource is intended to: * Serve as a repository for data on gene products expressed in different brain regions * Support research on cellular properties in the nervous system * Provide a gateway for entering data into the cannonical neuron forms in NeuronDB * Identify receptors across neuron types to aid in drug development * Serve as a first step toward a functional genomics of nerve cells * Serve as a teaching aid | genetics, cellular, molecular, cerebellum, cortex, human, ion channel, mouse, olfactory, invertebrate, mammalian, physiology, rat, receptor, cat, molecular neuroanatomy resource | has parent organization: Yale University; Connecticut; USA | Aging | Multidisciplinary University Research Initiative ; NIMH ; NIA ; NICD ; NINDS ; NIDCD RO1 DC 009977 |
nif-0000-00055 | http://senselab.med.yale.edu/senselab/cellpropdb | SCR_007285 | Cellular Properties Database | 2026-02-14 02:06:28 | 0 | |||||
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GeneNest Resource Report Resource Website 1+ mentions |
GeneNest (RRID:SCR_007677) | data or information resource, database | GeneNest is a comprehensive visualization of gene indices of several organisms. The aim of GeneNest is to represent each gene by a single cluster of ESTs and/or mRNAs. Further subdivision of a cluster into contigs may be caused by alternative splicing, genomic sequences, or artifacts like chimeric sequences. Consensus sequence derived from GeneNest contigs are a basis for mapping genes onto the genome, and for analysis of splice isoforms. Organisms included are human, mouse, arabidopsis, zebrafish, drosophila, and sheep. human, mouse, arabidopsis, zebrafish, drosophila, sheep, EST, mRNA, alternative splicing, genomic sequences | est, alternative splicing, arabidopsis, drosophila, genomic sequences, human, mouse, mrna, sheep, zebrafish | has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany | nif-0000-02883 | SCR_007677 | GeneNest | 2026-02-14 02:06:01 | 5 | |||||||||
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Homophila Resource Report Resource Website |
Homophila (RRID:SCR_007717) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 23, 2013. Homophila utilizes the sequence information of human disease genes from the NCBI OMIM (Online Mendelian Inheritance in Man) database in order to determine if sequence homologs of these genes exist in the current Drosophila sequence database (FlyBase). Sequences are compared using NCBI's BLAST program. The database is updated weekly and can be searched by human disease, gene name, OMIM number, title, subtitle and/or allelic variant descriptions. | homolog, human disease, human disease gene, human, gene, cognate |
is related to: OMIM has parent organization: University of California at San Diego; California; USA |
NCRR P 41 RR08605-06 | PMID:11752278 PMID:11381037 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02976 | SCR_007717 | Human disease to drosophila database | 2026-02-14 02:06:30 | 0 | ||||||
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Human Gene Expression Index Resource Report Resource Website 1+ mentions |
Human Gene Expression Index (RRID:SCR_007726) | data or information resource, database | The Human Gene Expression Index (HuGE Index) aims to provide a comprehensive database to further our understanding of the expression of human genes in normal human tissues. mRNA expression levels of thousands of genes are obtained using high-density oligonucleotide array technology and used to create a public database. The website also provides interactive tools for researchers to query and visualize data over the Internet. To facilitate data analysis, genes are alsocross-referenced with their annotation in the LocusLink database at NCBI. | human, human genome | nif-0000-02991 | http://www.hugeindex.org | SCR_007726 | HUGE Index | 2026-02-14 02:06:30 | 4 | |||||||||
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Alternate splicing gallery Resource Report Resource Website 1+ mentions |
Alternate splicing gallery (RRID:SCR_008129) | data or information resource, database | Alternative splicing essentially increases the diversity of the transcriptome and has important implications for physiology, development and the genesis of diseases. This resource uses a different approach to investigate alternative splicing (instead of the conventional case-by case fashion) and integrates all transcripts derived from a gene into a single splicing graph. ASG is a database of splicing graphs for human genes, using transcript information from various major sources (Ensembl, RefSeq, STACK, TIGR and UniGene). Each transcript corresponds to a path in the graph, and alternative splicing is displayed by bifurcations. This representation preserves the relationships between different splicing variants and allows us to investigate systematically all possible putative transcripts. Web interface allows users to display the splicing graphs, to interactively assemble transcripts and to access their sequences as well as neighboring genomic regions. ASG also provide for each gene, an exhaustive pre-computed catalog of putative transcriptsin total more than 1.2 million sequences. It has found that ~65 of the investigated genes show evidence for alternative splicing, and in 5 of the cases, a single gene might produce over 100 transcripts. | gallery, gene, genesis, alternative, development, disease, diversity, genomic, human, physiology, putative transcript, sequence, single, splice, splicing graph, transcript, transcriptome, variant, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-20932, biotools:alternative_splicing_gallery | https://bio.tools/alternative_splicing_gallery | SCR_008129 | ASG | 2026-02-14 02:06:12 | 1 | ||||||||
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CRE Binding-protein Target Gene Database Resource Report Resource Website 10+ mentions |
CRE Binding-protein Target Gene Database (RRID:SCR_008027) | data or information resource, database | CREB target gene database that uses a multi-layered approach to predict, validate and characterize CREB target genes. For each gene, the database tries to provide the following information: 1. CREB binding sites on the promoters 2. Promoter occupancy by CREB 3. Gene activation by cAMP in tissues CREB seems to occupy a large number of promoters in the genome (up to ~5000 in human), and the profiles for CREB promoter occupancy are very similar in different human tissues. However, only a small proportion of CREB occupied genes are induced by cAMP in any cell type, possibly reflecting the requirement of additional regulatory partners that assist in recruitment of the transcriptional apparatus. To use the database, choose the species, select the table you want to search, leave field (''All'') and type in the gene you want to search. A table listing the search results will be returned, followed by the description of the table. If no search result is returned, try the official gene symbol or gene ID (locuslink number) from NCBI Entrez Gene to search. Sponsors: This work was supported by National Institutes of Health Grants GM RO1-037828 (to M.M.) and DK068655 (to R.A.Y.). | expression, gene, activation, camp, camp-response element binding protein (creb), cell, cellular, coactivator, cyclic amp response element binding protein, hormone, human, in vivo, methylation, mouse, nutrient, phosphorylation, promoter, rat, regulatory, rna, signaling, target gene, tissue, transcription, FASEB list | nif-0000-10201 | SCR_008027 | CREB Database | 2026-02-14 02:06:33 | 31 | ||||||||||
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Cytokine Family Database Resource Report Resource Website 1+ mentions |
Cytokine Family Database (RRID:SCR_008134) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. A collection of cDNA, gene and protein records of cytokines deposited in public databases provides various information about the cytokine members of vertebrates in other databases including NCBI GenBank, Swiss-Prot, UniGene, TIGR (The Institute for Genomic Research) Gene Indices, Ensembl, Entrez Gene, Mouse Genome Informatics (MGI) and Rat Genome Database (RGD). It also provides orthologous relationship of cytokine members and includes novel members identified in the databases. | family, fish, gene, amphibian, bird, cdna, chemokine, cow, cytokine, genome, human, mammalian, mouse, oncogene, phylogenetic, protein, rat, receptor, reptile, virus |
is listed by: 3DVC has parent organization: Kumamoto University; Kumamoto; Japan |
Japan Society for the Promotion of Science | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20948 | http://cytokine.medic.kumamoto-u.ac.jp/ | SCR_008134 | dbCFC | 2026-02-14 02:06:12 | 1 | ||||||
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International Human Epigenome Consortium Data Portal Resource Report Resource Website 10+ mentions |
International Human Epigenome Consortium Data Portal (RRID:SCR_014625) | data or information resource, portal | A data portal of the International Human Epigenome Consortium which provides access to comprehensive data sets of reference epigenomes relevant to health and disease. The IHEC Data Portal can be used to view, search and download data already released by different IHEC-associated projects. Data are organized by consortium, by tissue, and by assay category. Users can visualize data sets using the data grid provided or the UCSC Genome Browser. | portal, data portal, data set, epigenetic, consortium, human, epigenome, tissue, assay |
uses: UCSC Genome Browser has parent organization: McGill University; Montreal; Canada has parent organization: International Human Epigenome Consortium |
Canadian Institutes of Health Research ; Genome Quebec ; Genome Canada |
Public, Data sets available for download | SCR_014625 | International Human Epigenome Consortium (IHEC) Data Portal, IHEC Data Portal | 2026-02-14 02:05:32 | 11 | ||||||||
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brainlife.io Resource Report Resource Website 1+ mentions |
brainlife.io (RRID:SCR_016513) | data or information resource, portal | Platform for publishing reproducible code and datasets and providing access to national supercomputers, private clouds, and institutional high-performance computer systems to promote open software and data sharing to advance understanding of the human brain. | human, brain, life, data, application, technology, share, open, software, reproducible, code, dataset, |
has parent organization: Indiana University Bloomington; Indiana; USA works with: brainlife |
NSF BCS 1734853; NSF IIS 1636893 |
DOI:10.1038/s41597-019-0073-y | Public, Free, Freely available, Login required | https://github.com/brain-life | SCR_016513 | 2026-02-14 02:05:40 | 1 | |||||||
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Animal Genome Database Resource Report Resource Website 1+ mentions |
Animal Genome Database (RRID:SCR_008165) | data or information resource, database | Database of comparative gene mapping between species to assist the mapping of the genes related to phenotypic traits in livestock. The linkage maps, cytogenetic maps, polymerase chain reaction primers of pig, cattle, mouse and human, and their references have been included in the database, and the correspondence among species have been stipulated in the database. AGP is an animal genome database developed on a Unix workstation and maintained by a relational database management system. It is a joint project of National Institute of Agrobiological Sciences (NIAS) and Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries (STAFF-Institute), under cooperation with other related research institutes. AGP also contains the Pig Expression Data Explorer (PEDE), a database of porcine EST collections derived from full-length cDNA libraries and full-length sequences of the cDNA clones picked from the EST collection. The EST sequences have been clustered and assembled, and their similarity to sequences in RefSeq, and UniGene determined. The PEDE database system was constructed to store sequences and similarity data of swine full-length cDNA libraries and to make them available to users. It provides interfaces for keyword and ID searches of BLAST results and enables users to obtain sequence data and names of clones of interest. Putative SNPs in EST assemblies have been classified according to breed specificity and their effect on coding amino acids, and the assemblies are equipped with an SNP search interface. The database contains porcine nucleotide sequences and cDNA clones that are ready for analyses such as expression in mammalian cells, because of their high likelihood of containing full-length CDS. PEDE will be useful for researchers who want to explore genes that may be responsible for traits such as disease susceptibility. The database also offers information regarding major and minor porcine-specific antigens, which might be investigated in regard to the use of pigs as models in various medical research applications. | est, expression, gene, amino acid, animal, antigen, breed, cattle, cdna, cell, chain, clone, coding, cytogenetic, genome, human, linkage, livestock, mammalian, map, mouse, nucleotide, organism, phenotypic, pig, polymerase, porcine, primer, reaction, sequence, snp, specie, swine, trait | has parent organization: National Institute of Agrobiological Sciences; Ibaraki; Japan | nif-0000-21029 | SCR_008165 | AGP | 2026-02-14 02:06:12 | 1 | |||||||||
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Comparative Vertebrate Sequencing Resource Report Resource Website |
Comparative Vertebrate Sequencing (RRID:SCR_008213) | data or information resource, database | Generates data for use in developing and refining computational tools for comparing genomic sequence from multiple species. The NISC Comparative Sequencing Program's goal is to establish a data resource consisting of sequences for the same set of targeted genomic regions derived from multiple animal species. The broader program includes plans for a diverse set of analytical studies using the generated sequence and the publication of a series of papers describing the results of those analysis in peer-reviewed journals in a timely fashion. Experimentally, this project involves the shotgun sequencing of mapped BAC clones. For each BAC, an assembly is first performed when a sufficient number of sequence reads have been generated to provide full shotgun coverage of the clone. At that time, the assembled sequence is submitted to the HTGS division of GenBank. Subsequent refinements of the sequence, including the generation of higher-accuracy finished sequence, results in the updating of the sequence record in GenBank. By immediately submitting our BAC-derived sequences to GenBank, it makes their data available as a public service to allow colleagues to speed up their research, consistent with the now well-established routine of sequencing centers participating in the Human Genome Project. However, at the same time, it has made considerable investment in acquiring these mapping and sequence data, including sizable efforts of graduate students, postdoctoral fellows, and other trainees. Furthermore, in most cases, large data sets involving multiple BAC sequences from multiple species must first be generated, often taking many months to accumulate, before the planned analysis can be performed and the resulting papers written and submitted for publication. | accuracy, animal, bac, clone, comparative, computational, genome, genomic, human, map, mapping, model organisms and comparative genomics databases, sequence, specie, tool | has parent organization: National Institutes of Health | nif-0000-21291 | SCR_008213 | Comparative Vertebrate Sequencing | 2026-02-14 02:06:34 | 0 | |||||||||
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Structure modeling of 907 G protein coupled receptors in the human genome Resource Report Resource Website 1+ mentions |
Structure modeling of 907 G protein coupled receptors in the human genome (RRID:SCR_008351) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2019.Database of tertiary structural modeling results of threading assembly refinement (TASSER) method for all 907 G protein-coupled receptors (GPCRs) in human genome. All sequences were collected from GPCR database http://www.gpcr.org/7tm/ and http://www.expasy.org/cgi-bin/lists?7tmrlist.txt. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. G protein-coupled receptors (GPCRs), encoded by about 5% of human genes, comprise the largest family of integral membrane proteins and act as cell surface receptors responsible for the transduction of endogenous signal into a cellular response. Although tertiary structural information is crucial for function annotation and drug design, there are few experimentally determined GPCR structures. To address this issue, we employ the recently developed threading assembly refinement (TASSER) method to generate structure predictions for all 907 putative GPCRs in the human genome. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. These features are essential for the comprehensive modeling of all human GPCRs when close homologous templates are absent. Based on a benchmarked confidence score, approximately 820 predicted models should have the correct folds. The majority of GPCR models share the characteristic seven-transmembrane helix topology, but 45 ORFs are predicted to have different structures. This is due to GPCR fragments that are predominantly from extracellular or intracellular domains as well as database annotation errors. Our preliminary validation includes the automated modeling of bovine rhodopsin, the only solved GPCR in the Protein Data Bank. With homologous templates excluded, the final model built by TASSER has a global C(alpha) root-mean-squared deviation from native of 4.6 angstroms, with a root-mean-squared deviation in the transmembrane helix region of 2.1 angstroms. Models of several representative GPCRs are compared with mutagenesis and affinity labeling data, and consistent agreement is demonstrated. Structure clustering of the predicted models shows that GPCRs with similar structures tend to belong to a similar functional class even when their sequences are diverse. These results demonstrate the usefulness and robustness of the in silico models for GPCR functional analysis. Sponsors: GPCR is funded by the University at Buffalo, Buffalo, New York. | endogenous, extracellular, family, functional, gene, cellular, couple, genome, gpcr, g protein, helix, homology, human, membrane, model, modeling, orf, protein, receptor, response, signal, structural, structural model, structure, template, tertiary, topology, transduction, transmembrane | has parent organization: Georgia Institute of Technology; Georgia; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25215 | SCR_008351 | GPCR | 2026-02-14 02:06:08 | 3 | ||||||||
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National Institute on Aging, Database of Longitudinal Studies Resource Report Resource Website |
National Institute on Aging, Database of Longitudinal Studies (RRID:SCR_008259) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 11, 2015. A searchable database for epidemiologic research on aging changes across the lifespan. In 2003, the National Institute on Aging (NIA) established the Longitudinal Data on Aging (LDA) working group to assist with the development of research initiatives for identifying the physiologic and other types of factors across the lifespan, affecting onset and progression of disease with advancing age, as well as elucidation of protective factors contributing to exceptionally healthy aging. This database was developed based on input from the LDA working group which indicated that establishing a database of existing sources of longitudinal data on aging (e.g., ongoing longitudinal cohorts, longitudinal data sets, biospecimen repositories) would be a valuable resource for facilitating future research on aging changes across the lifespan. The longitudinal studies, data sets and repositories included in this database encompass a wide range of age groups (childhood to old age), studies in minority populations, as well as sources of longitudinal data existing in the United States and abroad. Our primary purpose for establishing this database is to provide a resource for potential applicants for grants to the NIA. No part of this database can be used for commercial purposes. | epidemiologic, healthy aging, human, lifespan, longitudinal, onset, progression of disease, protective factors | Aging | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-22594 | SCR_008259 | Database of Longitudinal Studies | 2026-02-14 02:06:35 | 0 | ||||||||
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Mitelman Database of Chromosome Aberrations in Cancer Resource Report Resource Website 100+ mentions |
Mitelman Database of Chromosome Aberrations in Cancer (RRID:SCR_012877) | data or information resource, database | The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer. The data in the Mitelman Database is manually culled from the literature and subsequently organized into three distinct sub-databases, as follows: -The sub-database of cases contains the data that relates chromosomal aberrations to specific tumor characteristics in individual patient cases. It can be searched using either the Cases Quick Searcher or the Cases Full Searcher. -The sub-database of molecular biology and clinical associations contains no data from individual patient cases. Instead, the data is pulled from studies with distinct information about: -Molecular biology associations that relate chromosomal aberrations and tumor histologies to genomic sequence data, typically genes rearranged as a consequence of structural chromosome changes. -Clinical associations that relate chromosomal aberrations and/or gene rearrangements and tumor histologies to clinical variables, such as prognosis, tumor grade, and patient characteristics. It can be searched using the Molecular Biology and Clinical (MBC) Associations Searcher -The reference sub-database contains all the references culled from the literature i.e., the sum of the references from the cases and the molecular biology and clinical associations. It can be searched using the Reference Searcher. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: -The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. -The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. -The Molecular Biology Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to gene rearrangements as a consequence of cytogenetic aberrations. -The Clinical Associations Searcher does not search any of the individual patient cases. It searches studies pertaining to clinical associations of cytogenetic aberrations and/or gene rearrangements. -The Recurrent Chromosome Aberrations Searcher provides a way to search for structural and numerical abnormalities that are recurrent, i.e., present in two or more cases with the same morphology and topography. -The Reference Searcher queries only the references themselves, i.e., the references from the individual cases and the molecular biology and clinical associations. Sponsors: This database is sponsored by the University of Lund, Sweden and have support from the Swedish Cancer Society and the Swedish Children''s Cancer Foundation | expression, gene, aberration, abnormality, biology, breakpoint, cancer, cancer databases, characteristic, chromosomal, chromosome, clinical, clone, cytogenetic, genomic, grade, hisotology, human, mice, molecular, morphology, nucleotide, patient, pattern, polymorphism, prognosis, reagent, rearrangement, sequence, single, structural, topography, transcript, tumor, FASEB list | nif-0000-21268 | SCR_012877 | Mitelman Database | 2026-02-14 02:06:48 | 114 | ||||||||||
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Integrated Risk Information System Resource Report Resource Website 50+ mentions |
Integrated Risk Information System (RRID:SCR_013005) | data or information resource, database | IRIS is a toxicology data file on the National Library of Medicine''s (NLM) Toxicology Data Network. It contains data in support of human health risk assessment. It is compiled by the U.S. Environmental Protection Agency (EPA) and contains over 500 chemical records. It is a compilation of electronic reports on specific substances found in the environment and their potential to cause human health effects. IRIS was initially developed for EPA staff in response to a growing demand for consistent information on substances for use in risk assessments, decision-making and regulatory activities. The information in IRIS is intended for those without extensive training in toxicology, but with some knowledge of health sciences. The Integrated Risk Information System (IRIS) is an electronic database containing information on human health effects that may result from exposure to various substances in the environment. IRIS is prepared and maintained by the EPAs National Center for Environmental Assessment (NCEA) within the Office of Research and Development (ORD). The heart of the IRIS system is its collection of searchable documents that describe the health effects of individual substances and that contain descriptive and quantitative information in the following categories: -Noncancer effects: Oral reference doses and inhalation reference concentrations (RfDs and RfCs, respectively) for effects known or assumed to be produced through a nonlinear (possibly threshold) mode of action. In most instances, RfDs and RfCs are developed for the noncarcinogenic effects of substances. -Cancer effects: Descriptors that characterize the weight of evidence for human carcinogenicity, oral slope factors, and oral and inhalation unit risks for carcinogenic effects. Where a nonlinear mode of action is established, RfD and RfC values may be used. | effect, environmental, cancer, carcinogenicity, chemical, health, human, inhalation, medicine, noncancer, noncarcinogenic, oral, rfc, rfd, risk, science, substance, toxicology, toxicology databases, FASEB list | has parent organization: U.S. Environmental Protection Agency | nif-0000-21221 | SCR_013005 | IRIS | 2026-02-14 02:06:41 | 51 | |||||||||
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HOMD Resource Report Resource Website 100+ mentions |
HOMD (RRID:SCR_012770) | HOMD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on April 14,2022. Database of comprehensive information on the approximately 600 prokaryote species that are present in the human oral cavity. The majority of these species are uncultivated and unnamed, recognized primarily by their 16S rRNA sequences. The HOMD presents a provisional naming scheme for the currently unnamed species so that strain, clone, and probe data from any laboratory can be directly linked to a stably named reference entity. The HOMD links sequence data with phenotypic, phylogenetic, clinical, and bibliographic information. Full and partial oral bacterial genome sequences determined as part of this project and the Human Microbiome Project, are being added to the HOMD as they become available. HOMD offers easy to use tools for viewing all publicly available oral bacterial genomes. Data is also downloadable. | taxon, genome, 16s rna, sequence, actinobacteria, bacteroidetes, chlamydiae, chloroflexi, euryarchaeota, firmicutes, fusobacteria, proteobacteria, spirochaetes, sr1, synergistetes, tenericutes, tm7, nomenclature, naming scheme, human, FASEB list | has parent organization: Forsyth Institute | NIDCR ; ARRA ; DOE contract U01 DE016937; DOE DE016937; DOE DE015847; DOE DE017106 |
PMID:20624719 PMID:20656903 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_22198 | SCR_012770 | Human Oral Microbiome Database | 2026-02-14 02:06:22 | 137 | |||||
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Antibodypedia Resource Report Resource Website 10+ mentions |
Antibodypedia (RRID:SCR_012782) | data or information resource, database | Open-access database of antibodies against human proteins developed through collaboration between Antibodypedia AB and the Nature Publishing Group. It aims to provide the scientific community and antibody distributors alike with information on the effectiveness of specific antibodies in specific applications--to help scientists select the right antibody for the right application. Antibodypedia's mission is to promote the functional understanding of the human proteome and expedite analysis of potential biomarkers discovered through clinical efforts. To this end, they have developed an open-access, curated, searchable database containing annotated and scored affinity reagents to aid users in selecting antibodies tailored to specific biological and biomedical assays. They envisage Antibodypedia as a virtual repository of validated antibodies against all human, and ultimately most model-organism, proteins. Such a tool will be exploitable to identify affinity reagents to document protein expression patterns in normal and pathological states and to purify proteins alone and in complex for structural and functional analyses. They hope to promote characterization of the roles and interplay of proteins and complexes in human health and disease. They encourage commercial providers to submit information regarding their inventory of antibodies with links to quality control data. Independent users can submit their own application-specific experimental data using standard validation criteria (supportive or non-supportive) developed with the assistance of an international advisory board recruited from academic research institutions. Users can also comment on specific antibodies without submitting validation data. | cell biology, antibody, protein, human, reagent, model organism, non-human primate, FASEB list |
is listed by: 3DVC is listed by: OMICtools is related to: Nature Publishing Group |
Antibodypedia AB ; Nature Publishing Group ; European Union 6th framework - ProteomeBinders ; Human Antibody Initiative ; HUPO - Human Proteome Organisation |
PMID:18667413 PMID:18767878 |
The community can contribute to this resource | nif-0000-22918, OMICS_01770 | SCR_012782 | Antibodypedia / Nature | 2026-02-14 02:06:16 | 44 | ||||||
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Bio Resource for Array Genes Database Resource Report Resource Website |
Bio Resource for Array Genes Database (RRID:SCR_000748) | data or information resource, database | Bio Resource for array genes is a free online resource for easy access to collective and integrated information from various public biological resources for human, mouse, rat, fly and c. elegans genes. The resource includes information about the genes that are represented in Unigene clusters. This resource provides interactive tools to selectively view, analyze and interpret gene expression patterns against the background of gene and protein functional information. Different query options are provided to mine the biological relationships represented in the underlying database. Search button will take you to the list of query tools available. This Bio resource is a platform designed as an online resource to assist researchers in analyzing results of microarray experiments and developing a biological interpretation of the results. This site is mainly to interpret the unique gene expression patterns found as biological changes that can lead to new diagnostic procedures and drug targets. This interactive site allows users to selectively view a variety of information about gene functions that is stored in an underlying database. Although there are other online resources that provide a comprehensive annotation and summary of genes, this resource differs from these by further enabling researchers to mine biological relationships amongst the genes captured in the database using new query tools. Thus providing a unique way of interpreting the microarray data results based on the knowledge provided for the cellular roles of genes and proteins. A total of six different query tools are provided and each offer different search features, analysis options and different forms of display and visualization of data. The data is collected in relational database from public resources: Unigene, Locus link, OMIM, NCBI dbEST, protein domains from NCBI CDD, Gene Ontology, Pathways (Kegg, Genmapp and Biocarta) and BIND (Protein interactions). Data is dynamically collected and compiled twice a week from public databases. Search options offer capability to organize and cluster genes based on their Interactions in biological pathways, their association with Gene Ontology terms, Tissue/organ specific expression or any other user-chosen functional grouping of genes. A color coding scheme is used to highlight differential gene expression patterns against a background of gene functional information. Concept hierarchies (Anatomy and Diseases) of MESH (Medical Subject Heading) terms are used to organize and display the data related to Tissue specific expression and Diseases. Sponsors: BioRag database is maintained by the Bioinformatics group at Arizona Cancer Center. The material presented here is compiled from different public databases. BioRag is hosted by the Biotechnology Computing Facility of the University of Arizona. 2002,2003 University of Arizona. | drug, experiment, expression, fly, functional, gene, array, biological, biology, c. elegans, cluster, database, disease, human, microarray, mouse, protein, rat, target, tissue | has parent organization: University of Arizona; Arizona; USA | nif-0000-10165 | SCR_000748 | BioRag | 2026-02-14 02:05:33 | 0 | |||||||||
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Proteomics and Human Proteome: From Bench to Bedside Resource Report Resource Website |
Proteomics and Human Proteome: From Bench to Bedside (RRID:SCR_000285) | data or information resource, video resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. This website contains lecture videos from the events and discussions of the SEProt congress meeting, the theme of which is Human proteome. From Bench to Bedside. Sponsors: These videos are supported by the University of Navarra. | congress, human, lecture, proteome | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10402 | SCR_000285 | Proteomics Meeting | 2026-02-14 02:05:42 | 0 | |||||||||
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NHLBI Grand Opportunity Exome Sequencing Project Resource Report Resource Website 10+ mentions |
NHLBI Grand Opportunity Exome Sequencing Project (RRID:SCR_010798) | NHLBI GO ESP, GO ESP | knowledge environment | Project focused on understanding the contribution of rare genetic variation to heart, lung and blood disorders through the sequencing of well-phenotyped populations. | next-generation sequencing, protein coding region, human, genome, phenotype, exome sequencing |
is listed by: OMICtools has parent organization: University of Washington; Seattle; USA |
NHLBI RC2 HL-103010; NHLBI RC2 HL-102923; NHLBI RC2 HL-102924; NHLBI RC2 HL-102925; NHLBI RC2 HL-102926 |
OMICS_00277 | SCR_010798 | NHLBI Grand Opportunity Exome Sequencing Project (ESP), NHLBI GO Exome Sequencing Project (ESP) | 2026-02-14 02:02:03 | 31 |
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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.
