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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Tractor db Resource Report Resource Website 1+ mentions |
Tractor db (RRID:SCR_005610) | Tractor db | database, data or information resource | Database of computationally predicted Transcription Factors and binding sites in gamma-proteobacterial genomes. The user may browse a map containing all known E. coli transcription factors and regulatory interactions that connect them, and retrieve information on the conservation of each regulatory interaction across the 30 organisms included in the database. Downloading the information is straightforward, and navigation tabs added to dynamic pages ease navigation between the five interfaces of the database. The original prediction approach, based on the representation of binding sites through statistical models was complemented by a new approach that uses known E. coli regulatory sites as the basis for a pattern matching search of regulatory sites. The use of both approaches together resulted in a more intensive exploration of the sequence space of each regulator's binding site. These data should aid researchers in the design of microarray experiments and the interpretation of their results. They should also facilitate studies of Comparative Genomics of the regulatory networks of this group of organisms. | gamma-proteobacterial genome, transcription factor binding site, transcription factor, regulatory network, microarray, comparative genomicis, genome |
is listed by: OMICtools has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil |
PMID:17088283 | OMICS_01863, nif-0000-03574 | http://www.bioinfo.cu/Tractor_DB, http://www.tractor.lncc.br, http://www.ccg.unam.mx/tractorDB | SCR_005610 | Tractor_DB | 2026-08-04 09:41:23 | 3 | ||||||
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NCBI YouTube Channel Resource Report Resource Website |
NCBI YouTube Channel (RRID:SCR_006084) | NCBI YouTube Channel | data or information resource, video resource | Videos from the National Center for Biotechnology Information including presentations and tutorials about NCBI biomolecular and biomedical literature databases and tools. | biomolecule, biomedicine, database, tool, genome, biomedical, genomic, molecular biology, genome, health, disease | has parent organization: NCBI | nlx_151495 | SCR_006084 | 2026-08-04 09:41:30 | 0 | |||||||||
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RecountDB Resource Report Resource Website |
RecountDB (RRID:SCR_006117) | RecountDB | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database for corrected read counts and genome mapping on NCBI's Short Read Archive. The corrected count was done using RECOUNT and the mapping with LAST. We also provide information of reference genome to which we aligned the short reads. We focus on transcriptomic data, specifically TSS-Seq and RNA-Seq. Because this is the type of data for which sequence count correction is most important. Hence we do not include the genomic reads. The current version contains 2,265 entries from 45 organisms, with read lengths from 17 to 100bp. Via a searchable and browseable interface users can obtain corrected data in formats useful for transcriptomic analysis. We provide the data grouped according to the genome, type of studies and submitter in TAB , PSL and BAM format. They contain the mapping position and annotation of reads observed and corrected counts. | read count, genome mapping, short read, genome, transcript, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: NCBI Sequence Read Archive (SRA) is related to: RECOUNT is related to: LAST has parent organization: National Institute of Advanced Industrial Science and Technology |
Japanese Ministry of Education Culture Sports Science and Technology MEXT 221S002 | PMID:22139942 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151592, biotools:recountdb | https://bio.tools/recountdb | SCR_006117 | 2026-08-04 09:41:31 | 0 | |||||
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ProOpDB Resource Report Resource Website 10+ mentions |
ProOpDB (RRID:SCR_006111) | ProOpDB | database, data or information resource | The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes. ProOpDB offers diverse alternatives by which a set of operon predictions can be retrieved including: i) organism name, ii) metabolic pathways, as defined by the KEGG database, iii) gene orthology, as defined by the COG database, iv) conserved protein motifs, as defined by the Pfam database, v) reference gene, vi) reference operon, among others. In order to limit the operon output to non-redundant organisms, ProOpDB offers an efficient protocol to select the more representative organisms based on a precompiled phylogenetic distances matrix. In addition, the ProOpDB operon predictions are used directly as the input data of our Gene Context Tool (GeConT) to visualize their genomic context and retrieve the sequence of their corresponding 5�� regulatory regions, as well as the nucleotide or amino acid sequences of their genes. The prediction algorithm The algorithm is a multilayer perceptron neural network (MLP) classifier, that used as input the intergenic distances of contiguous genes and the functional relationship scores of the STRING database between the different groups of orthologous proteins, as defined in the COG database. Nevertheless, the operon prediction of our method is not restricted to only those genes with a COG assignation, since we successfully defined new groups of orthologous genes and obtained, by extrapolation, a set of equivalent STRING-like scores based on conserved gene pairs on different genomes. Since the STRING functional relationships scores are determined in an un-bias manner and efficiently integrates a large amount of information coming from different sources and kind of evidences, the prediction made by our MLP are considerably less influenced by the bias imposed in the training procedure using one specific organism. | genome, operon, gene pair, gene, operon prediction, metabolic pathway, gene orthology, conserved protein motif, protein motif, reference gene, reference operon, visualization, regulatory region, nucleotide, amino acid, sequence, phylogeny, FASEB list |
is related to: COG is related to: KEGG is related to: Pfam has parent organization: National Autonomous University of Mexico; Mexico City; Mexico |
CONACyT 60127-Q; CONACyT SALUD-2007-C01-68992; DGAPA IN212708 |
PMID:20385580 | nlx_151585 | SCR_006111 | Prokaryotic Operon DataBase (ProOpDB), Prokaryotic Operon DataBase | 2026-08-04 09:41:31 | 35 | ||||||
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DBM-DB Resource Report Resource Website 10+ mentions |
DBM-DB (RRID:SCR_006258) | DBM-DB | database, data or information resource | Database storing and integrating genomic data of diamondback moth (DBM), Plutella xylostella (L.). It provides comprehensive search tools and downloadable datasets for scientists to study comparative genomics, biological interpretation and gene annotation of this insect pest. DBM-DB contains assembled transcriptome datasets from multiple DBM strains and developmental stages, and the annotated genome of P. xylostella (version 2). They have also integrated publically available ESTs from NCBI and a putative gene set from a second DBM genome (KONAGbase) to enable users to compare different gene models. DBM-DB was developed with the capacity to incorporate future data resources, and will serve as a long-term and open-access database that can be conveniently used for research on the biology, distribution and evolution of DBM. This resource aims to help reduce the impact DBM has on agriculture using genomic and molecular tools. | genome, rna-seq, gene expression profiling, micrornas, metagenomics, blast, gbrowse, FASEB list |
is listed by: OMICtools has parent organization: Fujian Agriculture and Forestry University; Fujian; China |
PMID:24434032 | Free, Public | OMICS_02235 | http://59.79.254.1/DBM/ | SCR_006258 | Diamondback moth Genome Database | 2026-08-04 09:41:33 | 30 | |||||
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BacMap: Bacterial Genome Atlas Resource Report Resource Website 1+ mentions |
BacMap: Bacterial Genome Atlas (RRID:SCR_006988) | BacMap | atlas, database, data or information resource | An interactive visual database containing hundreds of fully labeled, zoomable, and searchable maps of bacterial genomes. It uses a visualization tool (CGView) to generate high-resolution circular genome maps from sequence feature information. Each map includes an interface that allows the image to be expanded and rotated. In the default view, identified genes are drawn to scale and colored according to coding directions. When a region of interest is expanded, gene labels are displayed. Each label is hyperlinked to a custom ''gene card'' which provides several fields of information concerning the corresponding DNA and protein sequences. Each genome map is searchable via a local BLAST search and a gene name/synonym search. A complete listing of the species and strains in the BacMap database is available on the BacMap homepage. Below each species/strain name is a list of the sequenced chromosomes and plasmids that are available. Some features of BacMap include: * Maps are available for 2023 bacterial chromosomes. * Each map supports zooming and rotation. * Map gene labels are hyperlinked to detailed textual annotations. * Maps can be explored manually, or with the help of BacMap''s built in text search and BLAST search. * A written synopsis of each bacterial species is provided. * Several charts illustrating the proteomic and genomic characteristics of each chromosome are available. * Flat file versions of the BacMap gene annotations, gene sequences and protein sequences can be downloaded. BacMap can be used to: * Obtain basic genome statistics. * Visualize the genomic context of genes. * Search for orthologues and paralogues in a genome of interest. * Search for conserved operon structure. * Look for gene content differences between bacterial species. * Obtain pre-calculated annotations for bacterial genes of interest. | gene, gene annotation, gene sequence, genome, bacteria, chromosome, protein sequence | has parent organization: University of Alberta; Alberta; Canada | Alberta Science Research Authority ; Western Economic Diversification ; Genome Canada ; Genome Prairie ; Western Economic Diversification Canada |
PMID:15608206 | Free, Acknowledgement requested | nif-0000-02591, r3d100012724 | https://doi.org/10.17616/R35502 | SCR_006988 | BacMap: An Interactive Atlas for Exploring Bacterial Genomes, BacMap genome atlas | 2026-08-04 09:41:43 | 4 | ||||
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Tuberculosis Database Resource Report Resource Website 50+ mentions |
Tuberculosis Database (RRID:SCR_006619) | TBDB | database, data or information resource | Database providing integrated access to genome sequence, expression data and literature curation for Tuberculosis (TB) that houses genome assemblies for numerous strains of Mycobacterium tuberculosis (MTB) as well assemblies for over 20 strains related to MTB and useful for comparative analysis. TBDB stores pre- and post-publication gene-expression data from M. tuberculosis and its close relatives, including over 3000 MTB microarrays, 95 RT-PCR datasets, 2700 microarrays for human and mouse TB related experiments, and 260 arrays for Streptomyces coelicolor. (July 2010) To enable wide use of these data, TBDB provides a suite of tools for searching, browsing, analyzing, and downloading the data. | genomic, protein, blast, genome, gene, systems biology, gene expression, microarray, comparative analysis, regulatory network, metabolic network, epitope, expression profile, rt-pcr, gene regulation, genome browser, FASEB list |
is listed by: re3data.org is related to: SMD is related to: BioCyc has parent organization: Broad Institute has parent organization: Stanford University School of Medicine; California; USA |
Tuberculosis | Bill and Melinda Gates Foundation | PMID:20488753 PMID:18835847 |
Acknowledgement requested, Public, (Published data) | nif-0000-03537, r3d100010930 | https://doi.org/10.17616/R39G8F | SCR_006619 | TB Database, TBDatabase | 2026-08-04 09:41:40 | 64 | |||
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ViralZone Resource Report Resource Website 100+ mentions |
ViralZone (RRID:SCR_006563) | ViralZone | database, data or information resource | ViralZone is a SIB Swiss Institute of Bioinformatics web-resource for all viral genus and families, providing general molecular and epidemiological information, along with virion and genome figures. Each virus or family page gives an easy access to UniProtKB/Swiss-Prot viral protein entries. ViralZone project is handled by the virus program of SwissProt group. Proteins popups were developed in collaboration with Prof. Christian von Mering and Andrea Franceschini, Bioinformatics Group , Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland, funded in part by the SIB Swiss Institute of bioinformatics. All pictures in ViralZone are copyright of the SIB Swiss Institute of Bioinformatics. | dna virus, rna virus, virus, dna, rna, genomic, proteomic, sequence, reference strain, image, virion, retro-transcribing virus, genome, bibliographic, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
Swiss Institute of Bioinformatics | PMID:20947564 | biotools:viralzone, r3d100013314, nlx_144372 | https://bio.tools/viralzone, https://doi.org/10.17616/R31NJMRM | http://www.expasy.org/viralzone/ | SCR_006563 | Viral Zone | 2026-08-04 09:41:39 | 128 | ||||
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Epilepsy Genetic Association Database Resource Report Resource Website 1+ mentions |
Epilepsy Genetic Association Database (RRID:SCR_006840) | database, data or information resource | The Epilepsy Genetic Association Database (epiGAD) is an online repository of data relating to genetic association studies in the field of epilepsy. It summarizes the results of both published and unpublished studies, and is intended as a tool for researchers in the field to keep abreast of recent studies, providing a bird''s eye view of this research area. The goal of epiGAD is to collate all association studies in epilepsy in order to help researchers in this area identify all the available gene-disease associations. Finally, by including unpublished studies, it hopes to reduce the problem of publication bias and provide more accurate data for future meta-analyses. It is also hoped that epiGAD will foster collaboration between the different epilepsy genetics groups around the world, and faciliate formation of a network of investigators in epilepsy genetics. There are 4 databases within epiGAD: - the susceptibility genes database - the epilepsy pharmacogenetics database - the meta-analysis database - the genome-wide association studies (GWAS) database The susceptibility genes database compiles all studies related to putative epilepsy susceptibility genes (eg. interleukin-1-beta in TLE), while the pharmacogenetics studies in epilepsy (eg. ABCB1 studies) are stored in ''phamacogenetics''. The meta-analysis database compiles all existing published epilepsy genetic meta-analyses, whether for susceptibility genes, or pharmacogenetics. The GWAS database is currently empty, but will be filled once GWAS are published. Sponsors: The epiGAD website is supported by the ILAE Genetics Commission. | epilepsy, gene, genome, genetic, bias, disease, interleukin-1-beta, meta-analysis, pharmacogenetic, pharmacogenetics, published, repository, research, researcher, studies, study, temporal lobe epilepsy (tle), tool, unpublished | nif-0000-10221 | SCR_006840 | epiGAD | 2026-08-04 09:41:42 | 5 | ||||||||||
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DECIPHER Resource Report Resource Website 1000+ mentions |
DECIPHER (RRID:SCR_006552) | DECIPHER | database, data or information resource | Interactive database which incorporates a suite of tools designed to aid the interpretation of submicroscopic chromosomal imbalance. Used to enhance clinical diagnosis by retrieving information from bioinformatics resources relevant to the imbalance found in the patient. Contributing to the DECIPHER database is a Consortium, comprising an international community of academic departments of clinical genetics. Each center maintains control of its own patient data (which are password protected within the center''''s own DECIPHER project) until patient consent is given to allow anonymous genomic and phenotypic data to become freely viewable within Ensembl and other genome browsers. Once data are shared, consortium members are able to gain access to the patient report and contact each other to discuss patients of mutual interest, thus facilitating the delineation of new microdeletion and microduplication syndromes. | chromosomal imbalance, phenotype, chromosome, gene, genome, deletion, duplication, copy number, genotype, polymorphism, FASEB list |
is used by: MARRVEL is listed by: OMICtools is related to: Deciphering Developmental Disorders is related to: Ensembl has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Microdeletion Syndrome, Overgrowth syndrome, Microduplication syndrome, Deletion syndrome, Duplication syndrome, Wolf-Hirschhorn Syndrome, Williams-Beuren Syndrome, Smith-Magenis Syndrome, Etc | Wellcome Trust WT077008 | PMID:19344873 | Acknowledgement required | nlx_151653, OMICS_00265 | SCR_006552 | Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources, DECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources, Database of Chromosomal Imbalance Phenotype in Humans using Ensembl Resources, Decipher | 2026-08-04 09:41:38 | 1797 | ||||
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HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | database, data or information resource | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg, https://bio.tools/HaploReg | SCR_006796 | 2026-08-04 09:41:42 | 1004 | ||||||
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Database of Genomic Variants Resource Report Resource Website 100+ mentions |
Database of Genomic Variants (RRID:SCR_007000) | DGV | database, data or information resource | Collection of curated structural variation in the human genome. Catalogue of human genomic structural variation identified in healthy control samples for studies aiming to correlate genomic variation with phenotypic data. It is continuously updated with new data from peer reviewed research studies. The Database is no longer accepting direct submission of data as they are currently part of a collaboration with two new archival CNV databases at EBI and NCBI, called DGVa and dbVAR, respectively. One of the changes to DGV as part of this collaborative effort is that they will no longer be accepting direct submissions, but rather obtain the datasets from DGVa (short for DGV archive). This will ensure that the three databases are synchronized, and will allow for an official accessioning of variants. | genome, chromosome, control, deletion, structure, insertion, inversion, segmental duplication, structural variation, genomic variation, phenotype, copy number variation, indel, genetics, gene expression, chromosome abnormality, human genome, variation, dna, statistics, chromosome, FASEB list |
is used by: MARRVEL is listed by: OMICtools is related to: Database of Genomic Variants Archive (DGVa) is related to: dbVar |
Healthy, Control | Genome Canada ; Ontario Genomics Institute ; McLaughlin Centre ; Canadian Institutes of Health Research |
PMID:24174537 | Acknowledgement requested | nif-0000-02721, OMICS_00266, r3d100010346 | http://projects.tcag.ca/variation/, https://doi.org/10.17616/R3NC8H | SCR_007000 | DGV, Database of Genomic Variants | 2026-08-04 09:41:44 | 380 | |||
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NOVOPlasty Resource Report Resource Website 100+ mentions |
NOVOPlasty (RRID:SCR_017335) | data processing software, alignment software, software resource, software application, image analysis software | Software package as de novo assembler and heteroplasmy variance caller for short circular genomes. Used for de novo assembly of organelle genomes from whole genome data. | de novo, assembler, heteroplasmy, variance, caller, short, circular, genome, organelle, whole, data | is listed by: OMICtools | Interuniversity Institute of Bioinformatics in Brussels ; Belgian Kids Fund ; Hôpital Universitaire des Enfants Reine Fabiola |
PMID:28204566 | Free, Available for download, Freely available | SCR_017335 | 2026-08-04 09:44:07 | 161 | ||||||||
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miRquant Resource Report Resource Website 1+ mentions |
miRquant (RRID:SCR_017261) | data processing software, data analysis software, software resource, software application, data analytics software | Software tool for accurate annotation and quantification of microRNAs and their isomiRs from small RNA-sequencing data. Provides information on quality of sequencing data, genome mapping statistics, abundance of other types of small RNAs such as tDRs and yDRs, prevalence of post transcriptional modifications. | annotation, quantification, miRNA, smRNA-seq, data, functionally, distinct, isoform, isomiR, quality, sequencing, genome, mapping, statistic, tDR, yDR | PMID:28187421 | Free, Available for download, Freely available | SCR_017261 | miRquant 2.0 | 2026-08-04 09:44:09 | 1 | |||||||||
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Computing Genome Assembly Likelihoods Resource Report Resource Website 100+ mentions |
Computing Genome Assembly Likelihoods (RRID:SCR_017624) | CGAL | data processing software, alignment software, software resource, software application, image analysis software | Software tool for computing genome assembly likelihoods.Computes likelihood of reads with respect to assembly and statistical model which can be used as metric for evaluating assemblies. Novel likelihood based approach to assembly assessment in absence of ground truth. | Computing, genome, assembly, likelihood, read, evaluation | NHGRI R21 HG006583; Fulbright Science & Technology Fellowship |
PMID:23360652 | http://bio.math.berkeley.edu/cgal/ | SCR_017624 | 2026-08-04 09:44:15 | 106 | ||||||||
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Michigan Imputation Server Resource Report Resource Website 100+ mentions |
Michigan Imputation Server (RRID:SCR_017579) | data access protocol, software resource, service resource, web service | Web server to implement whole genotype imputation workflow for efficient parallelization of computationally intensive tasks. Service for imputation that facilitates access to new reference panels and greatly improves user experience and productivity. Used to find haplotype segments and reference panel of sequenced genomes, assign genotypes at untyped markers, improve genome coverage, facilitate comparison and combination of studies that use different marker panels, increase power to detect genetic association, and guide fine mapping. | Whole, genotype, imputation, workflow, parallelization, task, find, haplotype, segment, reference, panel, sequence, genome, mapping | has parent organization: University of Michigan; Ann Arbor; USA | NHGRI HG007022; NHLBI HL117626; NHGRI HG000376; NIDA R01 DA037904; Austrian Science Fund ; European Community Seventh Framework Programme ; NIA |
PMID:27571263 | Restricted | https://github.com/genepi/imputationserver | SCR_017579 | Next Generation Genotype Imputation Service | 2026-08-04 09:44:14 | 156 | ||||||
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MUMmer Resource Report Resource Website 100+ mentions |
MUMmer (RRID:SCR_018171) | data processing software, alignment software, software resource, software application, image analysis software | Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes. | Align, genome, DNA, protein, sequence, , bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite is related to: MUMmerGPU |
NLM R01 LM06845; NSF IIS 9902923; NIAID N01 AI15447 |
PMID:14759262 | Free, Available for download, Freely available | OMICS_14554, biotools:mummer | https://github.com/mummer4/mummer, https://bio.tools/mummer, https://sources.debian.org/src/mummer/ | SCR_018171 | MUMmer4, MUMmer 3.0 | 2026-08-04 09:44:17 | 480 | |||||
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SARS-CoV-2-Sequences Resource Report Resource Website 10+ mentions |
SARS-CoV-2-Sequences (RRID:SCR_018319) | data set, storage service resource, data repository, service resource, data or information resource | Collection of SARS-CoV-2 sequences currently available in GenBank genetic sequence database and Sequence Read Archive. Updated as additional sequences are released. | SARS-CoV-2, SARS coronavirus, SARS-CoV infection, Coronavirus, data, SARS-CoV-2 sequence collection, nucleotide, genome, Betacoronavirus, protein |
works with: GenBank works with: NCBI Sequence Read Archive (SRA) |
COVID-19 | The Federal Government | Free, Available for download, Freely available | SCR_018319 | Severe Acute Respiratory Syndrome CoronaVirus 2 Sequences | 2026-08-04 09:44:19 | 28 | |||||||
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Global Initiative on Sharing All Influenza Data Resource Report Resource Website 1000+ mentions |
Global Initiative on Sharing All Influenza Data (RRID:SCR_018251) | GISAID | portal, topical portal, disease-related portal, database, data or information resource | Portal to share hCoV-19 genome sequences. Collection of genome sequences and related clinical and epidemiological data associated with coronavirus hCoV-19. Global repository of SARS-CoV-2 genomes. Initiative involves public-private-partnerships between Freunde of GISAID and governments of Federal Republic of Germany, Singapore and United States of America, with support from private and corporate philanthropy.International database of hCoV-19 genome sequences and related clinical and epidemiological data. Resource for influenza and hCoV-19 data. | hCoV19, hCoV-19 genome sequence, data, coronavirus, SARS coronavirus, Coronavirus, genome, genome database, influenza, SARS-CoV infection, SARS-CoV-2, COVID-19 |
lists: Health Data Research UK COVID-19 Initiative is listed by: Data and Computational Resources to Address COVID-19 is related to: SARS-CoV-2 mutation effects and 3D structure prediction from sequence covariation works with: Nextstrain |
CoV19, COVID19, COVID-19 | PMID:28382917 | Restricted | SCR_018279, r3d100010126, SCR_018318 | https://doi.org/10.17616/R3Q59F | SCR_018251 | 2026-08-04 09:44:18 | 1964 | |||||
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Yeast Intron Database Resource Report Resource Website 1+ mentions |
Yeast Intron Database (RRID:SCR_007144) | Yeast Intron Database | database, data or information resource | Database of information about the spliceosomal introns of the yeast Saccharomyces cerevisiae. Listed are known spliceosomal introns in the yeast genome and the splice sites actually used are documented. Through the use of microarrays designed to monitor splicing, they are beginning to identify and analyze splice site context in terms of the nature and activities of the trans-acting factors that mediate splice site recognition. In version 3.0, expression data that relates to the efficiency of splicing relative to other processes in strains of yeast lacking nonessential splicing factors is included. These data are displayed on each intron page for browsing and can be downloaded for other types of analysis. | intron, spliceosomal, splicing, genome, intron splice signal, sequence, splice site |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
W. M. Keck Foundation ; Packard Foundation ; NIH |
PMID:11988574 | The community can contribute to this resource | nif-0000-03649, OMICS_01890 | http://www.cse.ucsc.edu/research/compbio/yeast_introns.html | SCR_007144 | Ares lab Yeast Intron Database | 2026-08-04 09:41:46 | 2 |
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