Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
MIMOSA Resource Report Resource Website |
MIMOSA (RRID:SCR_000184) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays. | software package, mac os x, unix/linux, windows, r, cell based assay, flow cytometry, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bioconductor |
PMID:23887981 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:mimosa, OMICS_05642 | https://bio.tools/mimosa | SCR_000184 | MIMOSA - Mixture Models for Single-Cell Assays, MIMOSA: Mixture Models For Single Cell Assays | 2026-09-05 06:24:13 | 0 | ||||||
|
MODENT - A Tool For Reconstructing Gene Regulatory Networks Resource Report Resource Website 1+ mentions |
MODENT - A Tool For Reconstructing Gene Regulatory Networks (RRID:SCR_000220) | ModEnt | software resource | A computational tool that reconstructs gene regulatory networks from high throughput experimental data. | gene regulatory network, experimental data, computation, computational tool, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Tel Aviv University; Ramat Aviv; Israel |
PMID:22216865 | Free, Available for download, Freely available | biotools:modent, OMICS_01685 | https://bio.tools/modent | SCR_000220 | 2026-09-05 06:24:14 | 1 | ||||||
|
GENIE3 Resource Report Resource Website 10+ mentions |
GENIE3 (RRID:SCR_000217) | GENIE3 | software resource | An algorithm for the inference of gene regulatory networks from expression data. | javascript, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:20927193 | Free, Available for download, Freely available | biotools:genie3, OMICS_01683 | https://bio.tools/genie3 | http://www.montefiore.ulg.ac.be/~huynh-thu/software.html | SCR_000217 | 2026-09-05 06:24:14 | 10 | |||||
|
GraBCas Resource Report Resource Website |
GraBCas (RRID:SCR_000205) | GraBCas | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites. | matlab, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:15980455 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01674, biotools:grabcas | https://bio.tools/grabcas | SCR_000205 | 2026-09-05 06:24:16 | 0 | ||||||
|
Hyper Cell Line Database Resource Report Resource Website |
Hyper Cell Line Database (RRID:SCR_007730) | HyperCLDB | biomaterial supply resource, material resource, tissue bank | Hypertext on cell culture availability extracted from the Cell Line Data Base of the Interlab Project. HyperCLDB includes links to records of OMIM, the Online Mendelian Inheritance in Man Catalogue, and now also links to the PubMed, database of bibliographic biomedical references, which are drawn primarily from MEDLINE and PREMEDLINE. | cell, cell line, tumor, tissue, organ, blood, bodily fluid, ascitic fluid, brain, bone marrow, cancer, transforming agent, software, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: ATCC is related to: Cell Line Knowledge Base has parent organization: IST National Institute for Cancer Research; Genoa; Italy |
Cancer, Etc. | PMID:18927105 | nif-0000-03004, biotools:hypercldb | https://bio.tools/hypercldb | SCR_007730 | 2026-09-05 06:31:44 | 0 | ||||||
|
Genome Reviews Resource Report Resource Website 1+ mentions |
Genome Reviews (RRID:SCR_007685) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented April 24, 2017. The Genome Reviews database provides an up-to-date, standardized and comprehensively annotated view of the genomic sequence of organisms with completely deciphered genomes. Currently, Genome Reviews contains the genomes of archaea, bacteria, bacteriophages and selected eukaryota. Genome Reviews is available as a MySQL relational database, or a flat file format derived from that in the EMBL Nucleotide Sequence Database. An Ensembl-style browser is now available for Genome Reviews, providing a zoomable graphical view of all chromosomes and plasmids represented in the database. The location and structure of all genes is shown and the distribution of features throughout the sequence is displayed. | complete genome sequence, genome sequence, nucleotides, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
European Union FELICS contract 021902 (RII3); European Union TEMBLOR contract QLRI- CT-2001000015 |
PMID:16901215 PMID:15608201 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02899, biotools:genomereviews | https://bio.tools/genomereviews | SCR_007685 | Genome Reviews Database | 2026-09-05 06:31:42 | 4 | |||||
|
FireDB Resource Report Resource Website 1+ mentions |
FireDB (RRID:SCR_007655) | FireDB | data or information resource, database | A database of Protein Data Bank structures, ligands and annotated functional site residues. The database can be accessed by PDB codes or UniProt accession numbers as well as keywords. FireDB contains information on every chemical compound in the PDB, including their descriptions, the PDB structures in which the compounds are found and the amino acids that are in contact with the ligand. | protein, protein structure, pdb, bio.tools |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is listed by: bio.tools is listed by: Debian has parent organization: Spanish National Cancer Research Center |
nif-0000-02839, biotools:firedb | https://bio.tools/firedb | SCR_007655 | 2026-09-05 06:31:42 | 7 | ||||||||
|
MfunGD - MIPS Mouse Functional Genome Database Resource Report Resource Website 50+ mentions |
MfunGD - MIPS Mouse Functional Genome Database (RRID:SCR_007783) | MfunGD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.Database for annotated mouse proteins and their occurrence in protein networks. It contains cDNA and protein sequences, annotation, gene models and mapping, FunCat, UCSC Genome Viewer, SIMAP, pseudogenes (Genome Viewer Track), InterPro, and splice variants. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme, which is a hierarchically structured classification system. To provide up-to-date similarity search results and InterPro domain analyses, the protein entries are interconnected with the SIMAP database. The gene models are based on the RefSeq mouse cDNAs. The work of our group is focussed on the annotation of biological systems. Therefore, results from the Mammalian Protein-Protein Interaction Database and the Comprehensive Resource of Mammalian Protein Complexes are linked to the MfunGD dataset. Links to external resources are also provided. MfunGD is implemented in GenRE, a J2EE based component oriented multi-tier architecture. | bio.tools |
is listed by: Debian is listed by: bio.tools |
GSF National Research Center for Environment and Health ; German Federal Ministry of Research and Education |
PMID:16381934 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03121, biotools:mfungd | https://bio.tools/mfungd | SCR_007783 | Mouse Functional Genome Database | 2026-09-05 06:31:45 | 90 | ||||
|
IRESite Resource Report Resource Website 50+ mentions |
IRESite (RRID:SCR_007753) | data or information resource, database | Database of experimentally verified IRES structures. Presents information about experimentally studied Internal Ribosome Entry Site segments. | bio.tools, experimentally verified IRES structures, Internal Ribosome Entry Site segments, IRES structures, IRES segments |
is listed by: bio.tools is listed by: Debian has parent organization: Charles University; Prague; Czech Republic |
nif-0000-03047, nif-0000-03046, SCR_007754, biotools:iresite | https://bio.tools/iresite | http://ifr31w3.toulouse.inserm.fr/IRESdatabase/ | SCR_007753 | IRESdb, , IRESdb - the Internal Ribosome Entry Site database, Internal Ribosome Entry Site | 2026-09-05 06:31:44 | 52 | |||||||
|
Integr8 : Access to complete genomes and proteomes Resource Report Resource Website 50+ mentions |
Integr8 : Access to complete genomes and proteomes (RRID:SCR_007740) | data or information resource, database | The Integr8 web portal provides easy access to integrated information about deciphered genomes and their corresponding proteomes. Available data includes DNA sequences (from databases including the EMBL Nucleotide Sequence Database, Genome Reviews, and Ensembl); protein sequences (from databases including the UniProt Knowledgebase and IPI); statistical genome and proteome analysis (performed using InterPro, CluSTr, and GOA); and information about orthology, paralogy, and synteny. | bio.tools |
is listed by: bio.tools is listed by: Debian is related to: InteroPorc has parent organization: European Bioinformatics Institute |
nif-0000-03027, biotools:intergr8 | https://bio.tools/intergr8 | SCR_007740 | Integr8 | 2026-09-05 06:31:44 | 52 | ||||||||
|
TAndem Splice Site DataBase Resource Report Resource Website 1+ mentions |
TAndem Splice Site DataBase (RRID:SCR_007961) | data or information resource, database | TassDB stores extensive data about alternative splice events at GYNGYN donors and NAGNAG acceptors. Currently, 114,554 tandem splice sites of eight species are contained in the database, 5,209 of which have EST/mRNA evidence for alternative splicing. Users can search by Transcript Accession Number and Gene Symbol, SQL Query, and Tandem Donor/Tandem Acceptor pairs. | bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-03536, biotools:tassdb | https://bio.tools/tassdb | http://helios.informatik.uni-freiburg.de/TassDB/ | SCR_007961 | TassDB | 2026-09-05 06:31:49 | 6 | |||||||
|
SISYPHUS Resource Report Resource Website 1+ mentions |
SISYPHUS (RRID:SCR_007930) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A collection of manually curated protein structural alignments and their interrelationships. Each multiple alignment within the SISYPHUS database consists of structurally similar regions common to a group of proteins. These regions range from oligomeric biological units, or individual domains to fragments of different size representing either internal structural repeats or motifs common to structurally distinct proteins. The SISYPHUS multiple alignments are displayed with SPICE, a browser that provides an integrated view of protein sequences, structures and their annotations. | bio.tools |
is listed by: bio.tools is listed by: Debian |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:sisyphus | https://bio.tools/sisyphus | SCR_007930 | SISYPHUS | 2026-09-05 06:31:48 | 3 | |||||||
|
SilkDB Resource Report Resource Website 100+ mentions |
SilkDB (RRID:SCR_007926) | data or information resource, database | 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 20,2019.A database of integrated genome resources for the silkworm, Bombyx mori. This database provides access to not only genomic data including functional annotation of genes, gene products and chromosomal mapping, but also extensive biological information such as microarray expression data, ESTs and corresponding references. SilkDB will be useful for the silkworm research community as well as comparative genomics. Recently, an international collaboration has been launched to assemble a complete silkworm genome sequence, which is based on the 6� and 3� draft genome sequences created by Chinese group and Japanese group in 2004 (Mita et al., 2004; Xia et al., 2004), respectively. The genome assembly quality has been greatly improved. Base on a high density SNP genetic map, over 80% of genome sequence could be mapped on 28 chromosomes of the silkworm. The first version of SilkDB was released in 2004. Since that time, the silkworm has become a focus in insect research community and the study of silkworm has been greatly accelerated. Now, we are happy to announce the release of a new version of SilkDB, which updated all of the data, added new information of genome sequence and genes, and provides new tools to facilitate use of the genome database. | bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Southwest University; Chongqing; China |
THIS RESOURCE IS NO LONGER IN SERVICE | r3d100012187, biotools:silkdb | https://bio.tools/silkdb, https://doi.org/10.17616/R3435Z, https://doi.org/10.17616/R3435Z | SCR_007926 | SilkDB | 2026-09-05 06:31:48 | 161 | |||||||
|
Athena Resource Report Resource Website 100+ mentions |
Athena (RRID:SCR_008110) | data or information resource, database | Athena is a web-based application that warehouses disparate datatypes related to the control of gene expression. Athena provides several features to enable exploration of the regulatory mechanisms of Arabidopsis gene control. The first main tool we provide is visualization of promoter domains of selected genes. Database crossreference for these transcription factors is provided as well as a statistical test for enrichment of binding activity within the set of selected promoters. The data mining tools in Athena allow for selection of sets of genes based on two different factors. -Genes can be select by specifying a set of binding factors whose putative sites must be present within all of those genes'' promoter regions. -Alternatively, genes can be selected using Gene Ontology annotations. Both GO (Gene Ontology) Slim terms and Gene Ontology terms are available. One can select a set of genes by either choosing a union of the genes annotated by a selected set of Slim terms or Gene Ontology terms. The selected gene''s putative binding factors are listed, including enrichment data. Furthermore, enriched presence of Gene Ontology terms is given. The analysis suite provides both enhanced data mining tools for selecting genes as well as several data displays., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene control, gene expression, arabidopsis, binding factor, regulatory mechanism, ontology, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Washington State University; Washington; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20815, biotools:Athena | https://bio.tools/Athena | SCR_008110 | Athena | 2026-09-05 06:31:50 | 495 | |||||||
|
LitMiner Resource Report Resource Website 1+ mentions |
LitMiner (RRID:SCR_008200) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The LitMiner software is a literature data-mining tool that facilitates the identification of major gene regulation key players related to a user-defined field of interest in PubMed abstracts. The prediction of gene-regulatory relationships is based on co-occurrence analysis of key terms within the abstracts. LitMiner predicts relationships between key terms from the biomedical domain in four categories (genes, chemical compounds, diseases and tissues). The usefulness of the LitMiner system has been demonstrated recently in a study that reconstructed disease-related regulatory networks by promoter modeling that was initiated by a LitMiner generated primary gene list. To overcome the limitations and to verify and improve the data, we developed WikiGene, a Wiki-based curation tool that allows revision of the data by expert users over the Internet. It is based on the annotation of key terms in article abstracts followed by statistical co-citation analysis of annotated key terms in order to predict relationships. Key terms belonging to four different categories are used for the annotation process: -Genes: Names of genes and gene products. Gene name recognition is based on Ensembl . Synonyms and aliases are resolved. -Chemical Compounds: Names of chemical compounds and their respective aliases. -Diseases and Phenotypes: Names of diseases and phenotypes -Tissues and Organs: Names of tissues and organs LitMiner uses a database of disease and phenotype terms for literature annotation. Currently, there are 2225 diseases or phenotypes, 801 tissues and organs, and 10477 compounds in the database. | gene, biomedical, chemical, compound, disease, identification, literature, medline interfaces, mining, modeling, phenotype, promoter, regulation, regulatory, relationship, tissue, tool, bio.tools |
is listed by: bio.tools is listed by: Debian |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21241, biotools:litminer | https://bio.tools/litminer | SCR_008200 | LitMiner | 2026-09-05 06:31:51 | 2 | |||||||
|
Homologous Sequences in Ensembl Animal Genomes Resource Report Resource Website 1+ mentions |
Homologous Sequences in Ensembl Animal Genomes (RRID:SCR_008356) | HOMOLENS | data or information resource, database | Database of homologous genes from Ensembl organisms, structured under ACNUC sequence database management system. It allows to select sets of homologous genes among species, and to visualize multiple alignments and phylogenetic trees. It is possible to search for orthologous genes in a wide range of taxons. HOMOLENS is particularly useful for comparative sequence analysis, phylogeny and molecular evolution studies. More generally, HOMOLENS gives an overall view of what is known about a peculiar gene family. Note that HOMOLENS is split into two databases on this server: HOMOLENS contains the protein sequences while HOMOLENSDNA contains the nucleotide sequences. Protein sequences of HOMOLENS have been generated by translating the CDS of HOMOLENSDNA and using associated cross-references to generate the annotations. | ensembl, evolution, gene, alignment, comparative, homologous, molecular, nucleotide, organism, phylogenetic, phylogeny, protein, sequence, specie, structure, taxon, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Claude Bernard University Lyon 1; Lyon; France |
biotools:homolens, nif-0000-25424 | https://bio.tools/homolens | SCR_008356 | 2026-09-05 06:31:52 | 3 | ||||||||
|
Regulatory Sequence Analysis Tools Resource Report Resource Website 100+ mentions |
Regulatory Sequence Analysis Tools (RRID:SCR_008560) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Retrieve-ensembl-seq is included in the software suite regulatory sequence analysis tools (RSAT), allowing instant submission of retrieved sequences to further analysis tools. AVAILABILITY: retrieve-ensembl-seq is integrated in the RSAT suite: http://rsat.ulb.ac.be/rsat. Web site: http://rsat.ulb.ac.be/rsat/retrieve-ensembl-seq_form.cgi. Web services: http://rsat.ulb.ac.be/rsat/web_services/RSATWS.wsdl. Stand-alone distribution: freely available under an academic licence to download from the RSAT web site. The complete manual, a convenient tutorial and demos are available from the RSAT website. Additional help can be found on the RSAT public forum. | bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Yeast Search for Transcriptional Regulators And Consensus Tracking |
DOI:10.1093/nar/gkv362 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:rsat, nif-0000-31437, OMICS_08097 | https://bio.tools/rsat | https://sources.debian.org/src/rsat/ | SCR_008560 | RSAT | 2026-09-05 06:31:53 | 108 | |||||
|
Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) Resource Report Resource Website 10+ mentions |
Single Nucleotide Polymorphism Spectral Decomposition (SNPSpD) (RRID:SCR_008621) | SNPSpD | analysis service resource, data analysis service, production service resource, service resource | SNPSpD is a method of correcting for non-independance of single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) with each other, on the basis of the spectral decomposition (SpD) of matrices of LD between SNP''s. Additionally, output from SNPSpD includes eigenvalues, principal-component coefficients, and factor loadings after varimax rotation, enabling the selection of a subset of SNPs that optimize the information in a genomic region. | bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Queensland Institute of Medical Research |
National Health and MRC Australia 241916 | PMID:14997420 | biotools:snpspd, nif-0000-31985 | https://bio.tools/snpspd | http://genepi.qimr.edu.au/general/daleN/SNPSp | SCR_008621 | Single Nucleotide Polymorphism Spectral Decomposition | 2026-09-05 06:31:53 | 18 | ||||
|
Webproanalyst Resource Report Resource Website |
Webproanalyst (RRID:SCR_008348) | analysis service resource, data analysis service, production service resource, service resource | WebProAnalyst provides web-accessible analysis for scanning the quantitative structure-activity relationships in protein families. It searches for a sequence region, whose substitutions are correlated with variations in the activities of a homologous protein set, the so-called activity modulating sites. WebProAnalyst allows users to search for the key physicochemical characteristics of the sites that affect the changes in protein activities. It enables the building of multiple linear regression and neural networks models that relate these characteristics to protein activities. WebProAnalyst implements multiple linear regression analysis, back propagation neural networks and the Structure-Activity Correlation/Determination Coefficient (SACC/SADC). A back propagation neural network is implemented as a two-layered network, one layer as input, the other as output (Rumelhart et al, 1986). WebProAnalyst uses alignment of amino acid sequences and data on protein activity (pK, Km, ED50, among others). The input data are the numerical values for the physicochemical characteristics of a site in the multiple alignment given by a slide window. The output data are the predicted activity values. The current version of WebProAnalyst handles a single activity for a single protein. The SACC/SADC may be defined as an estimate of the strongest multiple correlation between the physicochemical characteristics of a site in a multiple alignment and protein activities. The SACC/SADC coefficient makes possible the calculation of the possible highest correlation achievable for the quantitative relationship between the physicochemical properties of sites and protein activities. The SACC/SADC is a convenient means for an arrangement of positions by their functional significance. WebProAnalyst outputs a list of multiple alignment positions, the respective correlation values, also regression analysis parameters for the relationships between the amino acid physicochemical characteristics at these positions and the protein activity values. | family, functional, activity, alignment, amino acid, homologous, modulating site, neural, physicochemical, propagation, protein, quantitative, region, relationship, scan, sequence, structure, substitution, variation, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-25212, biotools:webproanalyst | https://bio.tools/webproanalyst | SCR_008348 | Webproanalyst | 2026-09-05 06:31:52 | 0 | ||||||||
|
GeneSeeker Resource Report Resource Website 1+ mentions |
GeneSeeker (RRID:SCR_008347) | data or information resource, database | The GeneSeeker allows you to search across different databases simultaneously, given a known human genetic location and expression/phenotypic pattern. The GeneSeeker returns any found gene names which are located on the specified location and expressed in the specified tissue. To search for more expression location in one search, just enter them in the textbox for the expression location and separate them with logical operators (and, or, not). You can specify as many tissues as you want, the program starts 20 queries simultaneously, and then waits for a query to finish before starting another query, to keep server loads to a minimum. You can also search only for expression, just leave the cytogenetic location fields blank, and do the query. If you only want to look for one cytogenetic location, only fill in the first location field, and the GeneSeeker will search with only this one. Housekeeping genes , found in Swissprot can be excluded, or genes that are to be excluded can be specified. Human chromosome localizations are translated with an oxford-grid to mouse chromosome localizations, and then submitted to the Mgd. Sponsors: GeneSeeker is a service provided by the Centre for Molecular and Biomolecular Informatics (CMBI). | expression, federated database, gene, genetic, biomolecular, chromosome, cytogenetic, database, human, localization, location, molecular, pattern, phenotypic, tissue, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Radboud University; Nijmegen; The Netherlands |
biotools:geneseeker, nif-0000-25211 | https://bio.tools/geneseeker | SCR_008347 | GeneSeeker | 2026-09-05 06:31:52 | 5 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET 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 dkNET then you can log in from here to get additional features in dkNET 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 dkNET 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.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
