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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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CD-HIT Resource Report Resource Website 1000+ mentions |
CD-HIT (RRID:SCR_007105) | CD-HIT | software application, source code, data processing software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cluster, protein, sequence, classification, domain, analysis, nucleotide sequence, dna, protein sequence, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: OMICtools has parent organization: University of California at San Diego; California; USA has parent organization: Google Code is parent organization of: CD-HIT-OTU |
NCRR 1R01RR025030 | PMID:20053844 PMID:16731699 DOI:10.1093/bioinformatics/btl158 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_05157, biotools:cd-hit, nif-0000-30240 | http://cd-hit.org https://code.google.com/p/cdhit/ https://bio.tools/cd-hit https://sources.debian.org/src/cd-hit/ |
http://bioinformatics.ljcrf.edu/cd-hi/ |
SCR_007105 | CD-HIT Program | 2026-02-15 09:19:42 | 3203 | |||
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Expression Database in 4D Resource Report Resource Website 1+ mentions |
Expression Database in 4D (RRID:SCR_007066) | 4DXpress | database, service resource, storage service resource, data repository, data or information resource | This database provides a platform to query and compare gene expression data during the development of the major model animals (zebrafish, drosophila, medaka, mouse). The name 4DXpress stands for expression database in 4D. The 4D (four dimensions) of 4DXpress can be interpreted either as: 3 spatial dimensions plus time, or as 1. species 2. gene 3. developmental stage 4. anatomical structure. The major focus of this database lies in cross species comparison. The high resolution expression data was acquired through whole mount in situ hybridsation-, antibody- or transgenic experiments. Data was integrated from several species specific expression pattern databases, such as ZFIN, BDGP, GXD, MEPD as well as directly submitted by researchers of the participating groups at EMBL. The 4DXpress database is a project within the Centre for Computational Biology at EMBL. It is developed by Yannick Haudry, Thorsten Henrich and Ivica Letunic and coordinated by Thorsten Henrich. Hugo Berube is developing the 4D ArrayExpress Data Warehouse at EBI for integrating in situ data with microarray data. | genes, anatomical structures, developmental stage, microarray data, species, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: European Molecular Biology Laboratory |
European Molecular Biology Laboratory; Heidelberg; Germany | PMID:17916571 | nif-0000-02524, biotools:4dxpress | https://bio.tools/4dxpress | SCR_007066 | 4DXpress Database | 2026-02-15 09:19:21 | 1 | |||||
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Chromosome 7 Annotation Project Resource Report Resource Website 10+ mentions |
Chromosome 7 Annotation Project (RRID:SCR_007134) | Chromosome 7 Annotation Project | database, service resource, storage service resource, data repository, data or information resource | Database containing the DNA sequence and annotation of the entire human chromosome 7, encompassing nearly 158 million nucleotides of DNA and 1917 gene structures, are presented; the most up to date collation of sequence, gene, and other annotations from all databases (eg. Celera published, NCBI, Ensembl, RIKEN, UCSC) as well as unpublished data. To generate a higher order description, additional structural features such as imprinted genes, fragile sites, and segmental duplications were integrated at the level of the DNA sequence with medical genetic data, including 440 chromosome rearrangement breakpoints associated with disease. The objective of this project is to generate a comprehensive description of human chromosome 7 to facilitate biological discovery, disease gene research and medical genetic applications. There are over 360 disease-associated genes or loci on chromosome 7. A major challenge ahead will be to represent chromosome alterations, variants, and polymorphisms and their related phenotypes (or lack thereof), in an accessible way. In addition to being a primary data source, this site serves as a weighing station for testing community ideas and information to produce highly curated data to be submitted to other databases such as NCBI, Ensembl, and UCSC. Therefore, any useful data submitted will be curated and shown in this database. All Chromosome 7 genomic clones (cosmids, BACs, YACs) listed in GBrowser and in other data tables are freely distributed. | duplication, gene expression, family, fish, gene, gene annotation, genome, breakpoint, chromosome, chromosome 7, clinical, deletion, disease, dna sequence, human, insertion, inversion, polymorphism, rearrangement, segmental duplication, snp, translocation, annotation, data analysis service, blat, cosmid, bac, yac, biomaterial supply resource, malignant, non malignant, bio.tools |
is listed by: One Mind Biospecimen Bank Listing is listed by: Debian is listed by: bio.tools |
PMID:12690205 | Free, (Genomic clones) | nif-0000-03550, biotools:chr7, r3d100012136 | https://bio.tools/chr7 https://doi.org/10.17616/R3VP9V |
SCR_007134 | The Chromosome 7 Annotation Project, Chromosome 7 Annotation Project | 2026-02-15 09:19:28 | 13 | |||||
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SimSeq Resource Report Resource Website 10+ mentions |
SimSeq (RRID:SCR_006947) | SimSeq | software application, simulation software, software resource | An illumina paired-end and mate-pair short read simulator. This project attempts to model as many of the quirks that exist in Illumina data as possible. Some of these quirks include the potential for chimeric reads, and non-biotinylated fragment pull down in mate-pair libraries . | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
Free | biotools:simseq, OMICS_00258 | https://bio.tools/simseq | SCR_006947 | 2026-02-15 09:19:21 | 29 | |||||||
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VISTA Enhancer Browser Resource Report Resource Website 100+ mentions |
VISTA Enhancer Browser (RRID:SCR_007973) | VISTA Enhancer Browser | database, service resource, storage service resource, data repository, data or information resource | Resource for experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Most of these noncoding elements were selected for testing based on their extreme conservation in other vertebrates or epigenomic evidence (ChIP-Seq) of putative enhancer marks. Central public database of experimentally validated human and mouse noncoding fragments with gene enhancer activity as assessed in transgenic mice. Users can retrieve elements near single genes of interest, search for enhancers that target reporter gene expression to particular tissue, or download entire collections of enhancers with defined tissue specificity or conservation depth. | human, noncoding fragment, mutant mouse strain, molecular neuroanatomy resource, image, telencephalon, development, genome, enhancer, dna fragment, embryo, embryonic mouse, brain, neural tube, eye, ear, heart, tail, limb, nose, cranial nerve, trigeminal, dorsal root ganglia, face, branchial arch, gene expression, annotation, vector, transgenic embryo, lacz reporter vector, lacz, biomaterial supply resource, in vivo, image collection, transcriptional enhancer, chip-seq, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: NIF Data Federation is related to: One Mind Biospecimen Bank Listing is related to: OMICtools has parent organization: Lawrence Berkeley National Laboratory |
American Heart Association ; NIDCR ; NHLBI HL066681; NHGRI HG003988; DOE contract DE-AC02-05CH11231; NINDS NS062859; DOE DE020060 |
PMID:17130149 | Free, Freely available | nif-0000-03637, OMICS_01568, biotools:vista_enhancer_browser | https://bio.tools/vista_enhancer_browser | SCR_007973 | 2026-02-15 09:19:47 | 233 | |||||
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dbEST Resource Report Resource Website 100+ mentions |
dbEST (RRID:SCR_008132) | database, service resource, storage service resource, data repository, data or information resource | Database as a division of GenBank that contains sequence data and other information on single-pass cDNA sequences, or Expressed Sequence Tags, from a number of organisms. | data, sequence, single, pass, cDNA, express, tag, bio.tools, gold standard |
is listed by: Debian is listed by: bio.tools has parent organization: NCBI |
PMID:8401577 | biotools:dbest, nif-0000-20937, r3d100010648 | http://www.ncbi.nlm.nih.gov/dbEST/ https://bio.tools/dbest https://doi.org/10.17616/R3FG8P |
SCR_008132 | database Expressed Sequence Tag (EST), database Expressed Sequence Tag | 2026-02-15 09:19:28 | 179 | |||||||
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T1DBase Resource Report Resource Website 100+ mentions |
T1DBase (RRID:SCR_007959) | database, service resource, storage service resource, data repository, data or information resource, resource | 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 | 2026-02-15 09:19:40 | 145 | ||||
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ActiveDriver Resource Report Resource Website 10+ mentions |
ActiveDriver (RRID:SCR_008104) | ActiveDriver | software application, sequence analysis software, data processing software, software resource, data analysis software | A statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications. | Protein sequence variation, variation interpretation, protein sequence, protein post-translational signaling modifications, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Free, Available for download, Freely available | biotools:ActiveDriver, OMICS_00140 | http://reimandlab.org/software/activedriver/ https://cran.r-project.org/web/packages/ActiveDriver/ActiveDriver.pdf https://bio.tools/ActiveDriver |
SCR_008104 | 2026-02-15 09:19:43 | 25 | |||||||
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QIIME Resource Report Resource Website 10000+ mentions |
QIIME (RRID:SCR_008249) | software application, data processing software, data analysis software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics. | microbiome, microbial community, sequence data, data analysis software, bio.tools |
is used by: SortMeRNA is used by: Nephele is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of Colorado Boulder; Colorado; USA |
DOI:10.1038/nmeth.f.303 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01118, SCR_011948, OMICS_01521, biotools:qiime | https://bio.tools/qiime | SCR_008249 | Quantitative Insights Into Microbial Ecology | 2026-02-15 09:19:44 | 11036 | ||||||
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G protein receptor interaction feature finding instrument Resource Report Resource Website 10+ mentions |
G protein receptor interaction feature finding instrument (RRID:SCR_008343) | resource, service resource, analysis service resource, production service resource | Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM. | drug, alignment, biochemical, bioinformatic, coupling, gpcr, g-protein, helix, instrument, interface, ligand, molecular, pattern, physico-chemical, receptor interacting, sequence, signal transduction, stimulation, svm, system, technique, transmembrane, weight, instrument, equipment, hardware, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Computational Biology Research Center Core Facility |
National Institute of Advanced Industrial Science and Technology | nif-0000-25210, biotools:griffin | https://bio.tools/griffin | SCR_008343 | Griffin | 2026-02-15 09:19:47 | 19 | |||||||
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GMA Resource Report Resource Website |
GMA (RRID:SCR_009212) | GMA | software application, time-series analysis software, data processing software, software resource, data analysis software | Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure. | Granger, meditation, analysis, time, series, level, GMA, model, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools |
NIBIB EB022911 | PMID:31070732 | Free, Available for download, Freely available | nlx_154361, biotools:GMA | https://github.com/chaoning/GMA https://bio.tools/GMA |
http://www.montana.edu/kalinowski/GMA/GMA_Home.htm | SCR_009212 | Granger Mediation Analysis | 2026-02-15 09:20:05 | 0 | |||
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TopFIND Resource Report Resource Website 10+ mentions |
TopFIND (RRID:SCR_008918) | TopFIND | database, service resource, storage service resource, data repository, data or information resource | An integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases. It lists more than 120,000 N- and C-termini and almost 10,000 cleavages. TopFIND is a resource for comprehensive coverage of protein N- and C-termini discovered by all available in silico, in vitro as well as in vivo methodologies. It makes use of existing knowledge by seamless integration of data from UniProt and MEROPS and provides access to new data from community submission and manual literature curating. It renders modifications of protein termini, such as acetylation and citrulination, easily accessible and searchable and provides the means to identify and analyse extend and distribution of terminal modifications across a protein. The data is presented to the user with a strong emphasis on the relation to curated background information and underlying evidence that led to the observation of a terminus, its modification or proteolytic cleavage. In brief the protein information, its domain structure, protein termini, terminus modifications and proteolytic processing of and by other proteins is listed. All information is accompanied by metadata like its original source, method of identification, confidence measurement or related publication. A positional cross correlation evaluation matches termini and cleavage sites with protein features (such as amino acid variants) and domains to highlight potential effects and dependencies in a unique way. Also, a network view of all proteins showing their functional dependency as protease, substrate or protease inhibitor tied in with protein interactions is provided for the easy evaluation of network wide effects. A powerful yet user friendly filtering mechanism allows the presented data to be filtered based on parameters like methodology used, in vivo relevance, confidence or data source (e.g. limited to a single laboratory or publication). This provides means to assess physiological relevant data and to deduce functional information and hypotheses relevant to the bench scientist. TopFIND PROVIDES: * Integration of protein termini with proteolytic processing and protein features * Displays proteases and substrates within their protease web including detailed evidence information * Fully supports the Human Proteome Project through search by chromosome location CONTRIBUTE * Submit your N- or C-termini datasets * Contribute information on protein cleavages * Provide detailed experimental description, sample information and raw data | protein, n-termini, c-termini, protease, protein cleavage, proteomics, cleavage site, terminus, modification, proteolytic processing, protein function, domain structure, protein termini, terminus modification, protease, substrate, protease inhibitor, protein interaction, protein-protein interaction, interaction, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProtKB is related to: PSICQUIC Registry is related to: MEROPS has parent organization: University of British Columbia; British Columbia; Canada |
Canadian Institutes of Health Research ; Cancer Research Society ; British Columbia Proteomics Network ; Metalloproteinase Proteomics and Systems Biology ; Michael Smith Foundation for Health Research ; Breast Cancer Society of Canada ; Alexander von Humboldt-Stiftung ; BMBF ; German Academic Exchange Service |
PMID:22102574 PMID:21822272 |
Public, Acknowledgement requested | biotools:topfind, r3d100012721, nlx_151607 | https://bio.tools/topfind https://doi.org/10.17616/R3KB8J https://doi.org/10.17616/R3KB8J |
SCR_008918 | Termini oriented protein Function Inferred Database | 2026-02-15 09:19:59 | 29 | ||||
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Generic GO Term Finder Resource Report Resource Website 100+ mentions |
Generic GO Term Finder (RRID:SCR_008870) | GOTermFinder, GO-TermFinder, GO Term Finder, GO::TermFinder | software application, source code, data analysis service, software resource, data processing software, service resource, production service resource, analysis service resource | The Generic GO Term Finder finds the significant GO terms shared among a list of genes from an organism, displaying the results in a table and as a graph (showing the terms and their ancestry). The user may optionally provide background information or a custom gene association file or filter evidence codes. This tool is capable of batch processing multiple queries at once. GO::TermFinder comprises a set of object-oriented Perl modules GO::TermFinder can be used on any system on which Perl can be run, either as a command line application, in single or batch mode, or as a web-based CGI script. This implementation, developed at the Lewis-Sigler Institute at Princeton, depends on the GO-TermFinder software written by Gavin Sherlock and Shuai Weng at Stanford University and the GO:View module written by Shuai Weng. It is made publicly available through the GMOD project. The full source code and documentation for GO:TermFinder are freely available from http://search.cpan.org/dist/GO-TermFinder/. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, graph, visualization, genomics, gene association, ontology or annotation visualization, term enrichment, ontology, process, function, component, enrichment, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA has parent organization: Comprehensive Perl Archive Network |
NHGRI 1R01HG002732 | PMID:15297299 | Free for academic use | nlx_149293, biotools_go_term_finder | https://bio.tools/go_term_finder | SCR_008870 | Generic Gene Ontology (GO) Term Finder, Generic Gene Ontology Term Finder | 2026-02-15 09:19:35 | 108 | ||||
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LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-02-15 09:19:55 | 19 | |||||
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BeeBase Resource Report Resource Website 50+ mentions |
BeeBase (RRID:SCR_008966) | BeeBase | data analysis service, database, data set, service resource, production service resource, data or information resource, analysis service resource | Gene sequences and genomes of Bombus terrestris, Bombus impatiens, Apis mellifera and three of its pathogens, that are discoverable and analyzed via genome browsers, blast search, and apollo annotation tool. The genomes of two additional species, Apis dorsata and A. florea are currently under analysis and will soon be incorporated.BeeBase is an archive and will not be updated. The most up-to-date bee genome data is now available through the navigation bar on the HGD Home page. | genome, gene set, sequence, bee, genomics, entomology, blast, annotation, pest, pathogen, honey, beehive, insect, bee pollen, bee product, bee culture, pollination, pollinator, bio.tools, FASEB list |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: University of Missouri; Missouri; USA |
Texas Agricultural Experiment Station ; Golden Heritage Foods and Sioux Honey Association ; NHGRI 5-P41-HG000739-13; USDA 2008-35302-18804 |
PMID:21071397 | Open unspecified license, Acknowledgement requested, Data Usage Policy | nlx_152034, biotools:hgd, r3d100010925 | https://bio.tools/hgd https://doi.org/10.17616/R3Z629 |
SCR_008966 | Hymenoptera Genome Database | 2026-02-15 09:20:00 | 56 | ||||
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R/QTLBIM Resource Report Resource Website 1+ mentions |
R/QTLBIM (RRID:SCR_009375) | software application, software library, software toolkit, software resource | Software library for QTL Bayesian Interval Mapping that provides a Bayesian model selection approach to map multiple interacting QTL. It works on experimentally inbred lines and performs a genome-wide search to locate multiple potential QTL. The package can handle continuous, binary and ordinal traits. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian |
nlx_154597, biotools:qtlbim | http://www.ssg.uab.edu/qtlbim/index.jsp https://cran.r-project.org/src/contrib/Archive/qtlbim/ https://bio.tools/qtlbim |
http://www.qtlbim.org/ | SCR_009375 | 2026-02-15 09:20:01 | 2 | ||||||||
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SeqBuster Resource Report Resource Website 10+ mentions |
SeqBuster (RRID:SCR_009616) | software application, data processing software, data analysis software, software resource | Software tool for processing and analysis of small RNAs datasets.Reveals ubiquitous miRNA modifications in human embryonic cells. | small RNAs datasets, ubiquitous miRNA modifications, human embryonic cells, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Spanish Ministry of Health ; CIBERESP ; Sixth Framework Programme of the European Commission ; Spanish Ministry of Science and Innovation |
PMID:20008100 | Free, Available for download, Freely available | OMICS_00367, biotools:seqbuster | https://bio.tools/seqbuster | SCR_009616 | 2026-02-15 09:20:13 | 30 | ||||||
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MACH Resource Report Resource Website 500+ mentions |
MACH (RRID:SCR_009621) | software application, data processing software, data analysis software, software resource | QTL analysis based on imputed dosages/posterior_probabilities. | genetic association, genomic analysis, imaging genomics, snp, gene, quantitative trait analysis, bio.tools |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of Michigan; Ann Arbor; USA |
PMID:21058334 PMID:19715440 DOI:10.1002/gepi.20533 |
Free, Non-commercial, Acknowledgement requested | nlx_155856, biotools:mach | http://www.nitrc.org/projects/mach https://bio.tools/mach |
https://sources.debian.org/src/mach-haplotyper/ | SCR_009621 | mach2qtl, MaCH | 2026-02-15 09:20:13 | 925 | |||||
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BEAST Resource Report Resource Website 5000+ mentions |
BEAST (RRID:SCR_010228) | software application, sequence analysis software, data processing software, software resource, software repository, data analysis software | A cross-platform software program for Bayesian MCMC analysis of molecular sequences. It is entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. It can be used as a method of reconstructing phylogenies but is also a framework for testing evolutionary hypotheses without conditioning on a single tree topology. BEAST uses MCMC to average over tree space, so that each tree is weighted proportional to its posterior probability. We include a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results. | bio.tools |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools is listed by: OMICtools is related to: TempEst is related to: BEAST2 is related to: PhyDyn has parent organization: University of Edinburgh; Scotland; United Kingdom |
DOI:10.1186/1471-2148-7-214 | nlx_156859, OMICS_04233, biotools:beast, SCR_015988 | http://www.nitrc.org/projects/beast-library https://bio.tools/beast https://sources.debian.org/src/beast-mcmc/ |
http://beast.bio.ed.ac.uk/Main_Page | SCR_010228 | BEaST Segmentation Library, Beast Software | 2026-02-15 09:20:21 | 6460 | ||||||
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WEBLOGO Resource Report Resource Website 1000+ mentions |
WEBLOGO (RRID:SCR_010236) | web service, data access protocol, service resource, software resource | Web application to generate sequence logos, graphical representations of patterns within multiple sequence alignment. Designed to make generation of sequence logos easy. Sequence logo generator. | Generate sequence logo, pattern graphical representation, multiple sequence alignment, sequence logo generator, amino acid sequence alignment, nucleic acid sequence alignment, sequence alignment representation, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of California at Berkeley; Berkeley; USA |
NHGRI K22 HG00056; Searle Scholars program ; NIGMS P50 GM62412 |
PMID:15173120 | Free, Available for download, Freely available | nlx_156853, biotools:weblogo_3 | http://weblogo.threeplusone.com/ https://bio.tools/weblogo_3 |
SCR_010236 | WebLogo Version 2.8.2, WebLogo3, WebLogo | 2026-02-15 09:20:16 | 3653 |
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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.
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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 2U24DK097771-09.
Email: info_at_ dknet.org
