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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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rVista Resource Report Resource Website 10+ mentions |
rVista (RRID:SCR_018707) | web service, data access protocol, analysis service resource, software resource, production service resource, service resource | Web tool for analyzing regulatory potential of noncoding sequences. rVISTA web server is interconnected with TRANSFAC database, allowing users to either search for matrices present in TRANSFAC library collection or search for user defined consensus sequences. rVISTA 2.0 web server is used for high throughput discovery of cis-regulatory elements. Can process alignments generated by zPicture and blastz alignment programs or use pre-computed pairwise alignments of several vertebrate genomes available from ECR Browser and GALA database. Evolutionary analysis of transcription factor binding sites. | Noncoding sequence, regulatory potential analysis, matrices search, TRANSFAC library collection, cis regulatory element, process alignment, zPicture, blastz, pairwise alignment, genome, analysis, transcription factor binding site, bio.tools |
is listed by: Debian is listed by: bio.tools works with: TRANSFAC |
PMID:15215384 | Free, Freely available | biotools:rvista | https://bio.tools/rvista | SCR_018707 | rVista 2.0 | 2026-02-16 09:49:33 | 30 | ||||||
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FunCoup Resource Report Resource Website 1+ mentions |
FunCoup (RRID:SCR_018711) | web service, data access protocol, database, software resource, service resource, data or information resource | Database of genome wide functional coupling networks. Provides tools to explore predicted networks and to retrieve detailed information about data underlying each prediction. Web service for functional coupling search. | Genome, genome functional coupling network, coupling network, functional coupling, functional couplings search, gene identifier, genome data | has parent organization: Karolinska Institute; Stockholm; Sweden | Swedish Research Council ; Stockholm University |
PMID:24185702 | Free, Freely available | SCR_018711 | 2026-02-16 09:49:34 | 3 | ||||||||
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Preseq Resource Report Resource Website 10+ mentions |
Preseq (RRID:SCR_018664) | software application, data processing software, software toolkit, data analysis software, software resource | Software package for predicting library complexity and genome coverage in high throughput sequencing. Aimed at predicting yield of distinct reads from genomic library from initial sequencing experiment. Predicting molecular complexity of sequencing libraries. | Genome, high throughput sequencing, predicting library complexity, distinct yield prediction, genomic library, initial sequencing experiment, molecular complexity prediction, sequencing libraryb, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Stanford University; Stanford; California |
PMID:23435259 | Free, Freely available | biotools:preseq | https://github.com/smithlabcode/preseq https://bio.tools/preseq |
SCR_018664 | 2026-02-16 09:49:30 | 19 | |||||||
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EnteroBase Resource Report Resource Website 100+ mentions |
EnteroBase (RRID:SCR_019019) | web service, data access protocol, database, software resource, data or information resource | Integrated software environment that supports identification of global population structures within several bacterial genera that include pathogens. Web service for analyzing and visualizing genomic variation within bacteria. Genome database to enable to identify, analyse, quantify and visualise genomic variation within bacterial genera including Salmonella, Escherichia/Shigella, Clostridioides,Vibrio,Yersinia,Helicobacter,Moraxella. | Bacteria, pathogen, genome, Illumina short read, genotype, core genome multilocus, sequence typing, cgMLST, cgMLST sequence, bacterial strain mapping, visualizing genomic variation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: University of Warwick; Coventry; United Kingdom |
Biotechnology and Biological Sciences Research Council ; Wellcome Trust |
Restricted | biotools:Enterobase | https://bio.tools/EnteroBase | SCR_019019 | 2026-02-16 09:49:37 | 233 | |||||||
|
Differential Methylation Analysis Package Resource Report Resource Website |
Differential Methylation Analysis Package (RRID:SCR_019148) | DMAP | software application, data processing software, software toolkit, data analysis software, software resource | Software package for large scale genomic DNA methylation analysis. Filters and processes aligned bisulphite sequenced data to generate comprehensive reference methylomes in different units for any genome. Processes aligned SAM files of multiple samples to provide reliable and statistically significant differentially methylated regions, then relate them to proximal genes and CpG features with reasonable rapidity. | Genomic DNA methylation, DNA methylation analysis, bisulphite sequenced data, reference methylomes generation, genome, aligned SAM files processing, differentially methylated regions | has parent organization: University of Otago; Dunedin; New Zealand | National Centre for Growth and Development and Health Research Council ; New Zealand |
PMID:24608764 | Free, Freely available | SCR_019148 | 2026-02-16 09:49:37 | 0 | |||||||
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RSEM Resource Report Resource Website 50+ mentions |
RSEM (RRID:SCR_000262) | software application, data processing software, data analysis software, software resource | Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data. | quantifying, gene, isoform, abundance, single, end, paired, RNA seq, data, transcript, reference, genome, bio.tools |
is listed by: OMICtools is listed by: GitHub is listed by: bio.tools is listed by: Debian has parent organization: University of Wisconsin-Madison; Wisconsin; USA |
PMID:21816040 | Free, Available for download, Freely available | OMICS_01966, OMICS_01287, biotools:rsem, SCR_013027 | https://github.com/deweylab/RSEM https://github.com/deweylab/RSEM/releases https://bio.tools/rsem https://sources.debian.org/src/rsem/ |
SCR_000262 | RSEM, RNA-Seq by Expectation-Maximization, RSEM-v1.3.0 | 2026-02-16 09:45:13 | 94 | ||||||
|
University of Tennessee Genome Science and Technology Graduate Program Resource Report Resource Website |
University of Tennessee Genome Science and Technology Graduate Program (RRID:SCR_000038) | UTK GST, UT Knoxville GST | graduate program resource, data or information resource, organization portal, portal | Graduate School of Genome Science and Technology (GST) is a Life Science graduate program founded on two premises. First, whole-genome sequences and related large-scale datasets have transformed how we perform biological research, a trend that is gathering momentum and is anticipated to frame the way the biology research is accomplished for many years to come. Second, advances in technology, whether at the level of instrumentation, computation, or wet lab reagents, have long been a powerful driving force in biology. The GST program is home to faculty mentors from many walks of life. The virulence factors of pathogenic fungi and the engineering of photosynthetic reaction complexes for bioenergy harvesting are just two examples from the cornucopia of research projects being pursued in GST. | genome, molecular genetics, biochemistry, bioinformatics | has parent organization: University of Tennessee Knoxville; Tennessee; USA | nlx_149162 | SCR_000038 | UTK Genome Science & Technology, UT Genome Science & Technology, UT-ORNL Graduate School of Genome Science and Technology, Graduate School of Genome Science and Technology, University of Tennessee Genome Science & Technology, University of Tennessee Genome Science Technology | 2026-02-16 09:45:10 | 0 | ||||||||
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GASVPro Resource Report Resource Website 1+ mentions |
GASVPro (RRID:SCR_005259) | GASVPro | software application, data processing software, sequence analysis software, data analysis software, software resource | Software tool combining both paired read and read depth signals into probabilistic model which can analyze multiple alignments of reads. Used to find structural variation in both normal and cancer genomes using data from variety of next-generation sequencing platforms. Used to predict structural variants directly from aligned reads in SAM/BAM format.Combines read depth information along with discordant paired read mappings into single probabilistic model two common signals of structural variation. When multiple alignments of read are given, GASVPro utilizes Markov Chain Monte Carlo procedure to sample over the space of possible alignments. | structural variation, genome, genomics, alignment, sequencing, variant, variation, detection, dna, paired, end, read, sequence |
is listed by: OMICtools is related to: GASV has parent organization: Brown University; Rhode Island; USA |
NHGRI R01 HG5690; Burroughs Wellcome Career Award at the Scientific Interface |
PMID:22452995 | Free, Available for download, Freely available | OMICS_00317 | http://code.google.com/p/gasv/downloads/list | SCR_005259 | GASVPro: Geometric Analysis of Structural Variants | 2026-02-16 09:46:25 | 8 | ||||
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PRISM (Stanford database) Resource Report Resource Website 10000+ mentions |
PRISM (Stanford database) (RRID:SCR_005375) | PRISM | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genomic, transcription factor, function, transcription factor binding site, transcription factor regulator, biological role, target gene, target genomic region, genome, FASEB list |
is listed by: OMICtools is listed by: SoftCite is related to: GREAT: Genomic Regions Enrichment of Annotations Tool has parent organization: Stanford University School of Medicine; California; USA |
PMID:23382538 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00489 | SCR_005375 | Predicting Regulatory Information from Single Motifs | 2026-02-16 09:46:39 | 40813 | ||||||
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MAKER Web Annotation Service Resource Report Resource Website 1+ mentions |
MAKER Web Annotation Service (RRID:SCR_005318) | MWAS | web service, data access protocol, software resource, production service resource, service resource | The MAKER Web Annotation Service (MWAS) is an easily configurable web-accessible genome annotation pipeline. It''''s purpose is to allow research groups with small to intermediate amounts of eukaryotic and prokaryotic genome sequence (i.e. BAC clones, small whole genomes, preliminary sequencing data, etc.) to independently annotate and analyze their data and produce output that can be loaded into a genome database. MWAS is build on the stand alone genome annotation pipeline MAKER, and users who wish to annotate larger datasets and whole genomes are free to download MAKER for use on their own systems. MWAS identifies repeats, aligns ESTs and proteins to a genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence-based quality values. MWAS can also automatically train popular gene prediction algorithms for use on new genomes for which pre-existing information is limited. MAKER is a member of the Generic Model Organism Database (GMOD) project and output produced by this site can be directly used with other GMOD tools. Annotations can be directly viewed online by the user via GBrowse, JBrowse, and Apollo, or they can be downloaded for local analysis and integration into a genome database. MWAS also supplies summary statistics on sequence features via the Sequence Ontology tool SOBA. MWAS should prove especially useful for emerging model organism genome projects with minimal bioinformatics expertise and computer resources, since a user can produce final genome annotations without having to install and configure any software locally. | data management, human genome map, genome annotation, annotation, curation, genome, sequence |
is related to: MAKER has parent organization: University of Utah; Utah; USA |
nlx_144374 | SCR_005318 | 2026-02-16 09:46:26 | 7 | |||||||||
|
MicrobesOnline Resource Report Resource Website 100+ mentions |
MicrobesOnline (RRID:SCR_005507) | MicrobesOnline | data analysis service, analysis service resource, database, software resource, source code, production service resource, service resource, data or information resource | MicrobesOnline is designed specifically to facilitate comparative studies on prokaryotic genomes. It is an entry point for operon, regulons, cis-regulatory and network predictions based on comparative analysis of genomes. The portal includes over 1000 complete genomes of bacteria, archaea and fungi and thousands of expression microarrays from diverse organisms ranging from model organisms such as Escherichia coli and Saccharomyces cerevisiae to environmental microbes such as Desulfovibrio vulgaris and Shewanella oneidensis. To assist in annotating genes and in reconstructing their evolutionary history, MicrobesOnline includes a comparative genome browser based on phylogenetic trees for every gene family as well as a species tree. To identify co-regulated genes, MicrobesOnline can search for genes based on their expression profile, and provides tools for identifying regulatory motifs and seeing if they are conserved. MicrobesOnline also includes fast phylogenetic profile searches, comparative views of metabolic pathways, operon predictions, a workbench for sequence analysis and integration with RegTransBase and other microbial genome resources. The next update of MicrobesOnline will contain significant new functionality, including comparative analysis of metagenomic sequence data. Programmatic access to the database, along with source code and documentation, is available at http://microbesonline.org/programmers.html. | microbe, genome, bacteria, archaea, fungi, prokaryote, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: Lawrence Berkeley National Laboratory |
DOE DE-AC02-05CH11231 | PMID:19906701 | nlx_144607, biotools:microbesonline | https://bio.tools/microbesonline | SCR_005507 | Microbial Genomics Database, Microbes Online | 2026-02-16 09:46:40 | 156 | |||||
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BLASTatlas - Mapping of whole genome homology Resource Report Resource Website 10+ mentions |
BLASTatlas - Mapping of whole genome homology (RRID:SCR_005891) | BLASTatlas | data access protocol, software resource, web service | The BLASTatlas is a tool that is useful for mapping and visualizing whole genome homology of genes and proteins within a reference strain compared to other strains or species of one or more prokaryotic organisms using either blastp, blastn, tblastn, or blastx. DNA structural information is also included in the atlas to visualize the DNA chromosomal context of regions. Additional information can be added to these plots. The tool is SOAP compliant and WSDL (web services description language) files are available with programming examples available in Perl. The resolution is per-residue or per nucleotide depending on the regime of the blast search: For each annotation in the reference genome, the best hit in the database genome is found using one of the above algorithms. Each matching or mismatching residue/nucleotide of the best hit (based on BLAST score) is then mapped back to the genome sequence, using the coordinates provided in the annotations. By providing an interoperable method to carry out whole genome visualization of homology, this service offers bioinformaticians as well as biologists an easy-to-adopt workflow that can be directly called from the programming language of the user, hence enabling automation of repeated tasks. This tool can be relevant in many pangenomic as well as in metagenomic studies, by giving a quick overview of clusters of insertion sites, genomic islands and overall homology between a reference sequence and a data set. | genome, homology, dna, proteome, orf, blastp, blastn, tblastn, blastx, residue, nucleotide | has parent organization: Technical University of Denmark; Lyngby; Denmark | PMID:18414733 | nlx_149461 | SCR_005891 | 2026-02-16 09:46:34 | 13 | ||||||||
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VectorBase Resource Report Resource Website 500+ mentions |
VectorBase (RRID:SCR_005917) | VectorBase | data repository, database, storage service resource, service resource, data or information resource | Bioinformatics Resource Center for invertebrate vectors. Provides web-based resources to scientific community conducting basic and applied research on organisms considered potential agents of biowarfare or bioterrorism or causing emerging or re-emerging diseases. | blast, clustalw, hmmer, vector, genomics, genome, sequence, population, insecticide resistance, annotation, microarray, gene expression, anatomy, pathogen, human, transcript, transcriptome, protein, proteome, mitochondria sequence, bioinformatics resource center, pathogen, arthropoda, vector control, ontology, software, source code, mitochondrial sequence, data analysis service, image collection, FASEB list |
is recommended by: National Library of Medicine is listed by: re3data.org is related to: Clustal W2 is related to: AnoBase: An Anopheles database is related to: Hmmer has parent organization: European Bioinformatics Institute has parent organization: University of Notre Dame; Indiana; USA |
NIAID ; Evimalar network of excellence 242095; INFRAVEC 228421; European Union |
PMID:22135296 PMID:19028744 PMID:18262474 PMID:18237287 PMID:17145709 |
Restricted | nif-0000-03624, r3d100010880 | https://doi.org/10.17616/R3CK6B | SCR_005917 | VectorBase - Bioinformatics Resource for Invertebrate Vectors of Human Pathogens, VectorBase, vector base | 2026-02-16 09:46:42 | 835 | ||||
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InterProScan Resource Report Resource Website 5000+ mentions |
InterProScan (RRID:SCR_005829) | software application, data processing software, web service, data analysis software, data analysis service, analysis service resource, data access protocol, software resource, production service resource, service resource | Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service. | functional, analysis, sequence, protein, nucleotide, predict, presence, domain, site, proteome, genome, metagenome, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Gene Ontology is related to: RARTF is related to: InterPro is related to: LegumeIP is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Union ; Biotechnology and Biological Sciences Research Council ; EMBL |
PMID:15980438 PMID:17202162 PMID:24451626 |
Free, Available for download, Freely available | OMICS_01479, biotools:interproscan_4, nlx_149337 | https://www.ebi.ac.uk/interpro/download.html https://bio.tools/interproscan_4 |
SCR_005829 | InterProScan Sequence Search, InterProScan 2, InterProScan 3, InterProScan 4, InterProScan 5 | 2026-02-16 09:46:33 | 6936 | |||||
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UCSC Genome Browser Resource Report Resource Website 10000+ mentions Rating or validation data |
UCSC Genome Browser (RRID:SCR_005780) | project portal, database, portal, service resource, data or information resource | Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data. | Reference, sequence, assembly, collection, genome, visualize, genomic, data, ENCODE, Neanderthal, project, sequencing |
is used by: VizHub is used by: Blueprint Epigenome is used by: QmRLFS-finder is used by: International Human Epigenome Consortium Data Portal is used by: iPiG is listed by: re3data.org is listed by: OMICtools is listed by: Educational Resources in Neuroscience is listed by: SoftCite is related to: HEXEvent is related to: PicTar is related to: Phenotree is related to: Enhancer Trap Line Browser is related to: CistromeFinder is related to: ENCODE is related to: Human Epigenome Atlas is related to: ENCODE is related to: BigWig and BigBed is related to: PhenCode is related to: doRiNA is related to: ISCA Consortium is related to: WashU Epigenome Browser is related to: CRISPOR is related to: liftOver is related to: kent has parent organization: University of California at Santa Cruz; California; USA works with: TarBase |
UC BIOTEuropean UnionH ; Alfred P. Sloan Foundation ; David and Lucille Packard Foundation ; NIH ; HHMI ; CISI ; NHGRI ; DOE ; NSF DBI 9809007; NIGMS GM52848 |
PMID:12045153 PMID:22908213 PMID:23155063 |
OMICS_00926, SCR_017502, nif-0000-03603, SciEx_217, SCR_012479, r3d100010243 | http://genome.cse.ucsc.edu https://doi.org/10.17616/R3RK5C |
SCR_005780 | The Human Genome Browser at UCSC, UCSC Genome Browser Group, University of California at Santa Cruz Genome Browser, UCSC Genome Bioinformatics | 2026-02-16 09:46:41 | 10026 | ||||||
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Hepatitis C Virus Database (HCVdb) Resource Report Resource Website 1+ mentions |
Hepatitis C Virus Database (HCVdb) (RRID:SCR_005718) | HCVdb, | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms. | hepatitis c, hepatitis c virus, genome, gene, virus, ortholog comparison, ortholog | has parent organization: VBRC | Hepatitis C virus | NIAID contract HHSN266200400036C | nlx_149175 | SCR_005718 | Hepatitis C Viral Database | 2026-02-16 09:46:32 | 4 | ||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | research forum portal, disease-related portal, topical portal, portal, biospecimen repository, service resource, storage service resource, data or information resource, material storage repository | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-02-16 09:46:38 | 42 | |||||
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DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | data repository, database, storage service resource, service resource, data or information resource | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; State Key Laboratory of Urban Water Resource and Environment ; Scientific Research Fund of Heilongjiang Provincial Education Department |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth https://bio.tools/diseasemeth |
http://202.97.205.78/diseasemeth/ | SCR_005942 | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-02-16 09:46:35 | 34 | ||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | data analysis service, analysis service resource, database, production service resource, service resource, data or information resource | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-02-16 09:46:37 | 25 | ||||
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VBRC Resource Report Resource Website 10+ mentions |
VBRC (RRID:SCR_005971) | VBRC | data analysis service, analysis service resource, data repository, database, storage service resource, production service resource, service resource, data or information resource | One of eight Bioinformatics Resource Centers nationwide providing comprehensive web-based genomics resources including a relational database and web application supporting data storage, annotation, analysis, and information exchange to support scientific research directed at viruses belonging to the Arenaviridae, Bunyaviridae, Filoviridae, Flaviviridae, Paramyxoviridae, Poxviridae, and Togaviridae families. These centers serve the scientific community and conduct basic and applied research on microorganisms selected from the NIH/NIAID Category A, B, and C priority pathogens that are regarded as possible bioterrorist threats or as emerging or re-emerging infectious diseases. The VBRC provides a variety of analytical and visualization tools to aid in the understanding of the available data, including tools for genome annotation, comparative analysis, whole genome alignments, and phylogenetic analysis. Each data release contains the complete genomic sequences for all viral pathogens and related strains that are available for species in the above-named families. In addition to sequence data, the VBRC provides a curation for each virus species, resulting in a searchable, comprehensive mini-review of gene function relating genotype to biological phenotype, with special emphasis on pathogenesis. | virus, arenaviridae, bunyaviridae, filoviridae, flaviviridae, paramyxoviridae, poxviridae, togaviridae, blast, ortholog, variation, sequence analysis, genome, gene, epidemiology, bioinformatics resource center, phenotype, pathogenesis, pathogen, annotation, genomics |
has parent organization: University of Alabama at Birmingham; Alabama; USA has parent organization: University of Victoria; British Columbia; Canada is parent organization of: Hepatitis C Virus Database (HCVdb) |
NIAID contract HHSN266200400036C | r3d100012088, nif-0000-03632 | https://doi.org/10.17616/R31M1P | SCR_005971 | Viral Bioinformatics Resource Center | 2026-02-16 09:46:35 | 18 |
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