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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Proteome Analyst Specialized Subcellular Localization Server Resource Report Resource Website 1+ mentions |
Proteome Analyst Specialized Subcellular Localization Server (RRID:SCR_003143) | PA-SUB | analysis service resource, service resource, data analysis service, production service resource | Web server specialized to predict the subcellular localization of proteins using established machine learning techniques. | subcellular localization, protein, machine learning, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Alberta; Alberta; Canada |
PMID:14990451 | Free, Available for download, Freely available | biotools:pa-sub, OMICS_01631 | https://psort.org/#:~:text=Proteome%20Analyst's%20Subcellular%20Localization%20Server, proteins%20to%20many%20localization%20sites. | SCR_003143 | 2026-07-27 09:31:40 | 1 | ||||||
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FastSNP Resource Report Resource Website 50+ mentions |
FastSNP (RRID:SCR_003140) | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 9, 2016. A web server that allows users to efficiently identify and prioritize high-risk SNPs according to their phenotypic risks and putative functional effects. A unique feature is that the functional effect information used for SNP prioritization is always up-to-date, because FASTSNP extracts the information from 11 external web servers at query time using a team of web wrapper agents. Moreover, FASTSNP is extendable by deploying more Web wrapper agents. FASTSNP provides three options for users to submit requests. If users already have some candidate SNPs on a candidate gene, they may use Query by Candidate Gene to select the specific SNPs on the gene to perform prioritization. If users have a specified SNP or a list of SNP rsid's needs to be prioritized, they can use Query by SNP option and upload the SNP list in an Excel-format file. Finally, if users have a novel SNP sequence, FASTSNP provides Novel SNP analysis. FASTSNP will generate a SNP Function Report for each SNP. Users can export SNP data to an excel file for further genotyping processes. Other features of FASTSNP include SNP quality checking and haplotype LD information. | single nucleotide polymorphism, function, phenotype, transcript, prioritize, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Academia Sinica; Taipei; Taiwan |
National Research Program in Genomic Medicine ; National Science Council Taiwan NSC93-3112-B-001-008-Y; National Science Council Taiwan NSC93-3112-B-001-018-Y |
PMID:16845089 | Free, Freely available | biotools:fastsnp, OMICS_00173, nif-0000-30566 | https://bio.tools/fastsnp | http://fastsnp.ibms.sinica.edu.tw/pages/input_CandidateGeneSearch.jsp | SCR_003140 | FastSNP: A Functional Analysis and Selection Tool for SNP in Large Scale Association Study, Function Analysis and Selection Tool for Single Nucleotide Polymorphisms, A Functional Analysis and Selection Tool for SNP in Large Scale Association Study | 2026-07-27 09:31:40 | 62 | ||||
|
Distant Regulatory Elements Resource Report Resource Website 10+ mentions |
Distant Regulatory Elements (RRID:SCR_003058) | DiRE | analysis service resource, service resource, data analysis service, production service resource | Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data. | regulatory element, enhancer identification, genome, prediction, transcription factor binding site, gene, co-expression, co-function, function, transcription factor, comparative genomics, regulatory function, gene locus, chromosome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: NCBI |
NLM ; Intramural Research Program |
PMID:18487623 | Free, Freely available | nif-0000-30448, biotools:dire | https://bio.tools/dire | SCR_003058 | Distant Regulatory Elements of co-regulated genes | 2026-07-27 09:31:39 | 25 | ||||
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Human Gene Connectome Server Resource Report Resource Website 1+ mentions |
Human Gene Connectome Server (RRID:SCR_002627) | HGCS | analysis service resource, service resource, data analysis service, production service resource | An interactive web server that enables researchers to prioritize any list of genes by their biological proximity to defined core genes (i.e. genes that are known to be associated with the phenotype), and to predict novel gene pathways. | gene, disease, phenotype, genome, connectome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Human Gene Connectome |
PMID:23509278 | Free | nlx_156049, biotools:hgcs | https://bio.tools/hgcs | SCR_002627 | 2026-07-27 09:31:36 | 5 | ||||||
|
AmphoraNet Resource Report Resource Website 10+ mentions |
AmphoraNet (RRID:SCR_005009) | AmphoraNet | analysis service resource, service resource, data analysis service, production service resource | Webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. It is capable of assigning a probability-weighted taxonomic group for each phylogenetic marker gene found in the input metagenomic sample. | dna sequence, amino acid sequence, dna, sequence, amino acid, phylogenetic, reliability score, nucleotide, protein, nucleotide sequence, protein sequence, phylogenetic analysis, metagenomic, metagenomics, phylotyping, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Eotvos Lorand University; Budapest; Hungary |
PMID:24144838 | Acknowledgement requested, Free, Public | biotools:amphoranet, OMICS_01450 | https://bio.tools/amphoranet | SCR_005009 | 2026-07-27 09:32:10 | 16 | ||||||
|
MLTreeMap Resource Report Resource Website 1+ mentions |
MLTreeMap (RRID:SCR_004792) | MLTreeMap | analysis service resource, service resource, data analysis service, production service resource | Data analysis service that analyzes DNA sequences and determines their most likely phylogenetic origin. Its main use is in metagenomics projects, where DNA is isolated directly from natural environments and sequenced (the organisms from which the DNA originates are often entirely undescribed). It will search such sequences for suitable marker genes, and will use maximum likelihood analysis to place them in the ''''Tree of Life''''. This placement is more reliable than simply assessing the closest relative of a sequence using BLAST. More importantly, MLTreeMap decides not only who is the closest relative of your query sequence, but also how deep in the tree of life it probably branched off. Additionally, MLTreeMap searches the sequences for genes, which are coding for key enzymes of important functional pathways, such as RuBisCo, methane monooxygenase or nitrogenase. In case of a positive hit, MLTreeMap uses maximum likelihood analysis to place them in the respective ''''gene-family tree''''. | phylogeny, gene, fasta, dna sequence, nucleotide sequence, metagenomics, metagenome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: COG has parent organization: University of Zurich; Zurich; Switzerland |
PMID:20687950 | biotools:mltreemap, OMICS_01457 | https://bio.tools/mltreemap | SCR_004792 | Phylogenetic analysis of metagenomics sequence data | 2026-07-27 09:32:07 | 4 | ||||||
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Identifiers.org Resource Report Resource Website 50+ mentions |
Identifiers.org (RRID:SCR_003735) | Identifiers.org | service resource, production service resource, identifier resolution | A system providing resolvable persistent Uniform Resource Identifiers (URIs) used to identify data for the scientific community, with a current focus on the Life Sciences domain. The provision of resolvable identifiers (URLs) fits well with the Semantic Web vision, and the Linked Data initiative. It provides direct access to the identified data using one chosen physical location (or resource). If more than one physical locations providing the data are recorded in the Registry, then you can access them via the top banner or by using a profile. | identifier, life sciences, bio.tools |
uses: MIRIAM Resources is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
Free | nlx_157931, biotools:identifiers.org | https://bio.tools/identifiers.org | SCR_003735 | 2026-07-27 09:31:50 | 50 | |||||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | analysis service resource, service resource, data analysis service, production service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-07-27 09:31:57 | 19 | ||||
|
Kismeth Resource Report Resource Website 50+ mentions |
Kismeth (RRID:SCR_005444) | Kismeth | analysis service resource, service resource, data analysis service, production service resource | A web-based tool for bisulfite sequencing analysis that was designed to be used with plants, since it considers potential cytosine methylation in any sequence context (CG, CHG, and CHH). It provides a tool for the design of bisulfite primers as well as several tools for the analysis of the bisulfite sequencing results. Kismeth is not limited to data from plants, as it can be used with data from any species. | plant, methylation, bisulfite sequencing, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
PMID:18786255 | Free for academic use, Contact for commercial use | biotools:kismeth, OMICS_00602 | https://bio.tools/kismeth | SCR_005444 | 2026-07-27 09:32:17 | 53 | ||||||
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T-profiler Resource Report Resource Website 10+ mentions |
T-profiler (RRID:SCR_003452) | T-profiler | analysis service resource, service resource, data analysis service, production service resource | One of the key challenges in the analysis of gene expression data is how to relate the expression level of individual genes to the underlying transcriptional programs and cellular state. The T-profiler tool hosted on this website uses the t-test to score changes in the average activity of pre-defined groups of genes. The gene groups are defined based on Gene Ontology categorization, ChIP-chip experiments, upstream matches to a consensus transcription factor binding motif, and location on the same chromosome, respectively. If desired, an iterative procedure can be used to select a single, optimal representative from sets of overlapping gene groups. A jack-knife procedure is used to make calculations more robust against outliers. T-profiler makes it possible to interpret microarray data in a way that is both intuitive and statistically rigorous, without the need to combine experiments or choose parameters. Currently, gene expression data from Saccharomyces cerevisiae and Candida albicans are supported. Users can submit their microarray data for analysis by clicking on one of the two organism-specific tabs above. Platform: Online tool | expression, gene, binding, cellular, transcriptional, gene expression, microarray, gene ontology, transcription factor, binding motif, chip-chip, chip, motif, t-test, statistical analysis, transcriptome, bio.tools |
is listed by: Biositemaps is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Columbia University; New York; USA has parent organization: University of Amsterdam; Amsterdam; Netherlands |
Netherlands Foundation for Technical Research APB.5504; NHGRI R01HG003008 |
PMID:15980543 | Free for academic use | nif-0000-33354, biotools:t-profiler | https://bio.tools/t-profiler | SCR_003452 | T-profiler: Scoring the Activity of Pre-defined Groups of Genes Using Gene Expression Data | 2026-07-27 09:31:46 | 11 | ||||
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ProfCom - Profiling of complex functionality Resource Report Resource Website 1+ mentions |
ProfCom - Profiling of complex functionality (RRID:SCR_005797) | ProfCom | analysis service resource, service resource, data analysis service, production service resource | Profiling of Complex Functionality (ProfCom) is a web-based tool for the functional interpretation of a gene list that was identified to be related by experiments. A trait which makes ProfCom a unique tool is an ability to profile enrichments of not only available Gene Ontology (GO) terms but also of complex function. A complex function is constructed as Boolean combination of available GO terms. The complex functions inferred by ProfCom are more specific in comparison to single terms and describe more accurately the functional role of genes. Platform: Online tool | gene, function, profile, gene ontology, complex function, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Institute of Bioinformatics and Systems Biology; Neuherberg; Germany |
DFG | PMID:16959266 | Free for academic use | biotools:profcom, nlx_149276 | https://bio.tools/profcom | SCR_005797 | Profiling of Complex Functionality, Profiling of Complex Functionality (ProfCom) | 2026-07-27 09:32:22 | 4 | ||||
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SerbGO Resource Report Resource Website |
SerbGO (RRID:SCR_005798) | SerbGO | analysis service resource, service resource, data analysis service, production service resource | SerbGO is a web-based tool intended to assist researchers determine which microarray tools for gene expression analysis which make use of the GO ontologies are best suited to their projects. SerbGO is a bidirectional application. The user can ask for some features by checking on the Query Form to get the appropriate tools for their interests. The user can also compare tools to check which features are implemented in each one. Platform: Online tool | microarray, gene expression, statistical analysis, gene ontology, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Barcelona; Barcelona; Spain |
PMID:18480123 | Free for academic use | nlx_149286, biotools:serbgo | https://bio.tools/serbgo | SCR_005798 | SerbGO - Searching the best GO Tool | 2026-07-27 09:32:22 | 0 | |||||
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice. | other analysis, cluster, analysis, visualization, gene expression, genomic, gene ontology, gene association, microarray, protein-protein interaction, gene, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: European Bioinformatics Institute |
European Union ; Wellcome Trust ; Estonian Science Foundation 5724; Estonian Science Foundation 5722 |
PMID:15215431 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:expression_profiler, nlx_149323 | https://bio.tools/expression_profiler | SCR_005821 | Expression Profiler at the EBI | 2026-07-27 09:32:23 | 6 | ||||
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PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | analysis service resource, service resource, data analysis service, production service resource | A web tool, based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the gram-negative bacteria outer membrane proteins, and of discriminating such proteins from water-soluble ones when screening large datasets. The model is trained in a discriminative manner, aiming at maximizing the probability of the correct prediction rather than the likelihood of the sequences. The training is performed on a non-redundant database consisting of 16 outer membrane proteins (OMP''s) with their structures known at atomic resolution. We show that we can achieve predictions at least as good comparing with other existing methods, using as input only the amino-acid sequence, without the need of evolutionary information included in multiple alignments. The method is also powerful when used for discrimination purposes, as it can discriminate with a high accuracy the outer membrane proteins from water soluble in large datasets, making it a quite reliable solution for screening entire genomes. This web-server can help you run a discriminating process on any amino-acid sequence and thereafter localize the transmembrane strands and find the topology of the loops. | protein, hidden markov model, prediction, membrane protein, beta-barrel outer membrane protein, gram-negative bacteria, topology, outer membrane protein, beta-barrel protein, probability, transmembrane strand, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
Greek Ministry of National Education and Religious Affairs | PMID:15215419 PMID:15070403 |
Acknowledgement requested | biotools:pred-tmbb, nlx_151734 | https://bio.tools/pred-tmbb | SCR_006190 | PRED-TMBB: A Hidden Markov Model method capable of predicting and discriminating beta-barrel outer membrane proteins | 2026-07-27 09:32:29 | 54 | ||||
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mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | analysis service resource, service resource, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution. | yeast, c. elegans, drosophila, mouse, human, arabidopsis, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University at Albany; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:mitopred, nif-0000-03956, BioTools:mitopred | https://bio.tools/mitopred, https://bio.tools/mitopred, https://bio.tools/mitopred | SCR_006135 | A genome-scale method for predicting mitochondrial proteins | 2026-07-27 09:32:28 | 7 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, service resource, data analysis service, production service resource | A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | pathway, microarray, enrichment, genomic, proteomic, function, transcription factor, genomic localization, protein-protein interaction, coiled-coil domain, granzyme-b clevage site, motif, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: TRANSPATH is related to: TRANSFAC is related to: Gene Ontology has parent organization: Saarland University; Saarbrucken; Germany |
PMID:17526521 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:genetrail, OMICS_02236 | https://bio.tools/genetrail | SCR_006250 | 2026-07-27 09:32:30 | 106 | ||||||
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eTRIKS Resource Report Resource Website 10+ mentions |
eTRIKS (RRID:SCR_003765) | eTRIKS | service resource, data or information resource, organization portal, consortium, portal | Research informatics and analytics platform for the IMI OncoTrack consortium. | data sharing, drug discovery, translational research, informatics, knowledge management, metadata standard, platform, analytics, tool development, bio.tools |
uses: tranSMART is used by: U-BIOPRED is used by: Predict-TB is used by: OncoTrack is used by: ABIRISK is used by: RA MAP is listed by: Consortia-pedia is listed by: Debian is listed by: bio.tools is related to: Roche is related to: Janssen Research and Development is related to: Merck is related to: Pfizer Animal Genetics is related to: Imperial College London; London; United Kingdom is related to: French National Center for Scientific Research is related to: Clinical Data Interchange Standards Consortium is related to: University of Luxembourg; Luxembourg; Luxembourg is related to: IDBS is related to: BioSci Consulting is related to: TraIT is related to: EMIF is related to: Open PHACTS has parent organization: Imperial College London; London; United Kingdom |
Innovative Medicines Initiative ; EFPIA |
PMID:29482119 | biotools:eTRIKS, nlx_158034 | https://bio.tools/eTRIKS | SCR_003765 | European Translational Information and Knowledge Management Services, European Translational Information & Knowledge Management Services | 2026-07-28 09:40:51 | 10 | |||||
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SeWeR - SEquence analysis using WEb Resources Resource Report Resource Website |
SeWeR - SEquence analysis using WEb Resources (RRID:SCR_004167) | service resource, data or information resource, software resource, topical portal, portal | Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser. It doesn''t require any server to host itself. The goal of SeWeR is to turn your web-browser into a powerful sequence-analysis tool. It is written entirely in JavaScript1.2. SeWeR can be downloaded and mirrored freely. The whole package is just around 300K. You can even run it from a floppy. SeWeR is not compatible with Netscape 6. SeWeR now generates graphics. Savvy is a plasmid drawing software that generates plasmid map in the revolutionary Scalable Vector Graphics format from W3C. | nucleic acid, protein, pcr, alignment, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Centre for Cellular and Molecular Biology; Hyderabad; India |
PMID:11395442 | biotools:sewer, nlx_18981 | https://bio.tools/sewer | SCR_004167 | SEquence analysis using WEb Resources, SeWeR | 2026-07-28 09:40:55 | 0 | |||||||
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BSRD Resource Report Resource Website 10+ mentions |
BSRD (RRID:SCR_004249) | BSRD | service resource, data or information resource, data repository, database, storage service resource | A repository for bacterial small regulatory RNA. They welcome you to submit new experimental validated sRNA targets. | srna target, srna, small regulatory non-coding rna, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Chinese University of Hong Kong; Hong Kong; China |
PMID:23203879 | Acknowledgement requested, The community can contribute to this resource | biotools:bsrd, OMICS_01533 | https://bio.tools/bsrd | SCR_004249 | BSRD - Bacterial Small Regulatory RNA Database, Bacterial Small Regulatory RNA Database | 2026-07-28 09:40:55 | 29 | |||||
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STAR Resource Report Resource Website 10000+ mentions |
STAR (RRID:SCR_004463) | software application, software resource, data processing software, alignment software, image analysis software | Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays. | RNA-seq data, alignment, RNA-seq reads alignment, reference genome, using uncompressed suffix arrays, bio.tools |
is used by: STARsolo is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite |
NHGRI U54 HG004557 | PMID:23104886 DOI:10.1093/bioinformatics/bts635 |
biotools:star, OMICS_01254, SCR_015899 | https://github.com/alexdobin/STAR, https://bio.tools/star, https://sources.debian.org/src/rna-star/ | SCR_004463 | Spliced Transcripts Alignment to Reference, Spliced Transcripts Alignment to a Reference (STAR), rna-star, ultrafast universal RNA-seq aligner | 2026-07-28 09:41:00 | 22809 |
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