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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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UniParc Resource Report Resource Website 50+ mentions |
UniParc (RRID:SCR_005818) | data or information resource, database | Database that contains publicly available protein sequences with stable and unique identifiers (UPI) which are never removed, changed or reassigned. UniParc tracks sequence changes in the source databases and archives the history of all changes. Information other than protein sequence must be retrieved from the UniParc source databases using the database cross-references. | protein sequence, database, public protein sequence, gold standard, upi, unique protein identifier, identifier, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProt DAS is related to: WormBase is related to: FlyBase is related to: Ensembl is related to: RefSeq has parent organization: UniProt |
Public, Entries are available for download | SCR_004769, nif-0000-03610, r3d100011519, biotools:uniparc, nlx_76940 | https://bio.tools/uniparc, https://doi.org/10.17616/R3X33B | SCR_005818 | UniProt Archive | 2026-08-05 10:44:20 | 87 | |||||||
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Dr.VIS - Human Disease-Related Viral Integration Sites Resource Report Resource Website 1+ mentions |
Dr.VIS - Human Disease-Related Viral Integration Sites (RRID:SCR_005965) | Dr.VIS, Dr. VIS | data or information resource, database | Dr.VIS collects and locates human disease-related viral integration sites. So far, about 600 sites covering 5 virus organisms and 11 human diseases are available. Integration sites in Dr.VIS are located against chromosome, cytoband, gene and refseq position as specific as possible. Viral-cellular junction sequences are extracted from papers and nucleotide databases, and linked to corresponding integration sites Graphic views summarizing distribution of viral integration sites are generated according to chromosome maps. Dr.VIS is built with a hope to facilitate research of human diseases and viruses. Dr.VIS provides curated knowledge of integration sites from chromosome region narrow to genomic position, as well as junction sequences if available. Dr.VIS is an open resource for free. | disease, virus, viral integration, viral integration site, integration site, malignant disease, chromosome region, genomic position, viral-host junction sequence, junction sequence, oncogene, chromosome, catalog, graphic interface, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Tongji University; Shanghai; China |
State Key Basic Research Program 973 2011CB910204; National Natural Science Foundation of China ; Major State Basic Research Development Program ; 863 Hi-Tech Program of China ; National Key Technology R&D Program in the 11th Five Year Plan of China ; Major State Basic Research Development Program of China |
PMID:22135288 | Open - Free to browse and download data in Dr.VIS. | nlx_151323, biotools:dr.vis | http://www.scbit.org/dbmi/drvis, https://bio.tools/dr.vis | SCR_005965 | Dr. VIS - Database of Human Disease-related Viral Integration Sites, Database of Human Disease-related Viral Integration Sites | 2026-08-05 10:44:24 | 1 | ||||
|
FunTree Resource Report Resource Website 1+ mentions |
FunTree (RRID:SCR_006014) | FunTree | data or information resource, database | FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH. To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left panel. FunTree is a new resource that brings together sequence, structure, phylogenetic, chemical and mechanistic information for structurally defined enzyme superfamilies. Gathering together this range of data into a single resource allows the investigation of how novel enzyme functions have evolved within a structurally defined superfamily as well as providing a means to analyse trends across many superfamilies. This is done not only within the context of an enzyme''''s sequence and structure but also the relationships of their reactions. Developed in tandem with the CATH database, it currently comprises 276 superfamilies covering 1800 (70%) of sequence assigned enzyme reactions. Central to the resource are phylogenetic trees generated from structurally informed multiple sequence alignments using both domain structural alignments supplemented with domain sequences and whole sequence alignments based on commonality of multi-domain architectures. These trees are decorated with functional annotations such as metabolite similarity as well as annotations from manually curated resources such the catalytic site atlas and MACiE for enzyme mechanisms. | enzyme function, enzyme superfamily, enzyme, sequence, structure, phylogenetic, chemical, mechanistic, functional annotation, superfamily, gold standard, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: CATH: Protein Structure Classification is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: KEGG is related to: UniProtKB has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory; Heidelberg; Germany ; BBSRC ; Wellcome Trust 081989/Z/07/A; DOE contract DE-AC02-06CH11357 |
PMID:22006843 | Free | biotools:funtree, nlx_151402 | https://bio.tools/funtree | SCR_006014 | 2026-08-05 10:44:25 | 4 | |||||
|
DBETH - Database for Bacterial ExoToxins for Humans Resource Report Resource Website 1+ mentions |
DBETH - Database for Bacterial ExoToxins for Humans (RRID:SCR_005908) | DBETH | data or information resource, database | Database of Bacterial ExoToxins for Human is a database of sequences, structures, interaction networks and analytical results for 229 exotoxins, from 26 different human pathogenic bacterial genus. All toxins are classified into 24 different Toxin classes. The aim of DBETH is to provide a comprehensive database for human pathogenic bacterial exotoxins. DBETH also provides a platform to its users to identify potential exotoxin like sequences through Homology based as well as Non-homology based methods. In homology based approach the users can identify potential exotoxin like sequences either running BLASTp against the toxin sequences or by running HMMER against toxin domains identified by DBETH from human pathogenic bacterial exotoxins. In Non-homology based part DBETH uses a machine learning approach to identify potential exotoxins (Toxin Prediction by Support Vector Machine based approach). | sequence, structure, interaction network, human, pathogen, bacterial genus, toxin, bacteria, exotoxin, homology, homolog, structure, sequence, domain, prediction, mechanism, activity, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: CSIR - Indian Institute of Chemical Biology; Kolkata; India |
Council of Scientific and Industrial Research; New Delhi; India | PMID:22102573 | nlx_149481, biotools:dbeth | https://bio.tools/dbeth | SCR_005908 | Database for Bacterial ExoToxins for Humans | 2026-08-05 10:44:21 | 2 | |||||
|
VirusMINT Resource Report Resource Website 10+ mentions |
VirusMINT (RRID:SCR_005987) | VirusMINT | data or information resource, database | A virus protein interactions database that collects and annotates all the interactions between human and viral proteins and integrates this information in the human protein interaction network. It uses the PSI-MI standard and is fully integrated with the MINT database. You can search for any viral or human protein by entering either common names or database identifiers or display a complete viral interactome. | protein interaction, virus, protein, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: PSI-MI is related to: VirHostNet: Virus-Host Network is related to: MINT has parent organization: University of Rome Tor Vergata; Rome; Italy |
Papilloma virus, Human immunodeficiency virus, Epstein-Barr virus, Hepatitis B virus, Hepatitis C virus, Herpes virus, Simian virus 40 | PMID:18974184 | nif-0000-03636, OMICS_01909, biotools:virusmint, r3d100010685 | https://bio.tools/virusmint, https://doi.org/10.17616/R3F890 | SCR_005987 | 2026-08-05 10:44:21 | 16 | ||||||
|
TRANSFAC Resource Report Resource Website 100+ mentions |
TRANSFAC (RRID:SCR_005620) | TRANSFAC | data or information resource, database | Manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA binding profiles. Used to predict potential transcription factor binding sites. | Curated, eucaryotic, transcription, factor, genomic, binding, site, sequence, regulated, gene, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: Gene Regulation Databases is related to: TRANSPATH is related to: Babelomics is related to: GeneTrail works with: rVista |
European Commission ; German Ministry of Education and Research |
PMID:12520026 | Free, Freely available | biotools:transfac, nif-0000-03576 | http://www.biobase-international.com/pages/index.php?id=transfac, http://gene-regulation.com/pub/databases.html, https://bio.tools/transfac | SCR_005620 | 2026-08-05 10:44:17 | 261 | |||||
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GOEAST - Gene Ontology Enrichment Analysis Software Toolkit Resource Report Resource Website 10+ mentions |
GOEAST - Gene Ontology Enrichment Analysis Software Toolkit (RRID:SCR_006580) | GOEAST | data analysis service, production service resource, service resource, analysis service resource | Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) is a web based software toolkit providing easy to use, visualizable, comprehensive and unbiased Gene Ontology (GO) analysis for high-throughput experimental results, especially for results from microarray hybridization experiments. The main function of GOEAST is to identify significantly enriched GO terms among give lists of genes using accurate statistical methods. Compared with available GO analysis tools, GOEAST has the following unique features: * GOEAST supports analysis for data from various resources, such as expression data obtained using Affymetrix, illumina, Agilent or customized microarray platforms. GOEAST also supports non-microarray based experimental data. The web-based feature makes GOEAST very user friendly; users only have to provide a list of genes in correct formats. * GOEAST provides visualizable analysis results, by generating graphs exhibiting enriched GO terms as well as their relationships in the whole GO hierarchy. * Note that GOEAST generates separate graph for each of the three GO categories, namely biological process, molecular function and cellular component. * GOEAST allows comparison of results from multiple experiments (see Multi-GOEAST tool). The displayed color of each GO term node in graphs generated by Multi-GOEAST is the combination of different colors used in individual GOEAST analysis. Platform: Online tool | statistical analysis, gene ontology, high-throughput, microarray, hybridization, gene, visualization, 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: Chinese Academy of Sciences; Beijing; China |
National Natural Science Foundation of China 30725014; National Natural Science Foundation of China 90612019; Ministry of Science and Technology of China 2007CB946901; Chinese Academy of Sciences KSCX2-YW-R-134; Chinese Academy of Sciences KSCX2-YW-N-024 |
PMID:18487275 | Free for academic use | biotools:goeast, nlx_149248 | https://bio.tools/goeast | SCR_006580 | Gene Ontology Enrichment Analysis Software Toolkit, Gene Ontology Enrichment Analysis Software Toolkit (GOEAST) | 2026-08-05 10:44:30 | 38 | ||||
|
SNPedia Resource Report Resource Website 50+ mentions |
SNPedia (RRID:SCR_006125) | SNPedia | data or information resource, database | Wiki investigating human genetics including information about the effects of variations in DNA, citing peer-reviewed scientific publications. It is used by Promethease to analyze and help explain your DNA. It is based on a wiki model in order to foster communication about genetic variation and to allow interested community members to help it evolve to become ever more relevant. As the cost of genotyping (and especially of fully determining your own genomic sequence) continues to drop, we''''ll all want to know more - a lot more - about the meaning of these DNA variations and SNPedia will be here to help. SNPedia has been launched to help realize the potential of the Human Genome Project to connect to our daily lives and well-being. For more information see the Wikipedia page, http://en.wikipedia.org/wiki/SNPedia * Download URL: http://www.SNPedia.com/index.php/Bulk * Web Service URL: http://bots.SNPedia.com/api.php | dna, genetics, gene, genome, genoset, genotype, medicine, medical condition, genetic variation, dna, genetic variation, genomics, single nucleotide polymorphism, medical association, phenotypic association, genealogical association, variation, genome annotation, phenotype, web service, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools |
PMID:22140107 | Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | biotools:snpedia, grid.465250.0, nlx_151604 | https://ror.org/0253rdk33, https://bio.tools/snpedia | SCR_006125 | 2026-08-05 10:44:23 | 62 | ||||||
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RNA CoSSMos Resource Report Resource Website 1+ mentions |
RNA CoSSMos (RRID:SCR_006120) | RNA CoSSMos | data or information resource, database | Database to search through the nucleic acid structures from the Protein Data Bank and examine structural motifs, including (a)symmetric internal loops, bulge loops, and hairpin loops. They have compiled over 2,000 three-dimensional structures, which can now be searched using different parameters, including PDB information, experimental technique, sequence, and motif type. RNA secondary structure is important for designing therapeutics, understanding protein-RNA binding and predicting tertiary structure of RNA. Several databases and downloadable programs exist that specialize in the three-dimensional (3D) structure of RNA, but none focus specifically on secondary structural motifs such as internal, bulge and hairpin loops. To create the RNA CoSSMos database, 2156 Protein Data Bank (PDB) files were searched for internal, bulge and hairpin loops, and each loop''''s structural information, including sugar pucker, glycosidic linkage, hydrogen bonding patterns and stacking interactions, was included in the database. False positives were defined, identified and reclassified or omitted from the database to ensure the most accurate results possible. Users can search via general PDB information, experimental parameters, sequence and specific motif and by specific structural parameters in the subquery page after the initial search. Returned results for each search can be viewed individually or a complete set can be downloaded into a spreadsheet to allow for easy comparison. The RNA CoSSMos database is updated weekly. | secondary structure motif, rna, three-dimensional structure, internal loop, bulge loop, hairpin loop, motif, nucleic acid, structure, secondary structure, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Saint Louis University; Missouri; USA |
NIGMS 1R15GM085699-01A1 | PMID:22127861 | Freely accessible, Acknowledgement requested | nlx_151597, biotools:rna_cossmos | https://bio.tools/rna_cossmos | SCR_006120 | Znosko Lab RNA Characterization of Secondary Structure Motifs (RNA CoSSMos) database, Znosko Lab CoSSMos Database, RNA Characterization of Secondary Structure Motifs (RNA CoSSMos), RNA CoSSMos Database, RNA CoSSMos - Characterization of Secondary Structure Motifs, RNA Characterization of Secondary Structure Motifs | 2026-08-05 10:44:26 | 1 | ||||
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ProPortal Resource Report Resource Website 1+ mentions |
ProPortal (RRID:SCR_006112) | ProPortal | data or information resource, database | ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. Our goal is to provide a source of cross-referenced data across multiple scales of biological organization--from the genome to the ecosystem--embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phage that infect them. The site currently contains the genomes of 13 Prochlorococcus strains, 11 Synechococcus strains and 28 cyanophage strains that infect one or both groups. Cyanobacterial and cyanophage genes are clustered into orthologous groups that can be accessed by keyword search or through a genome browser. Users can also identify orthologous gene clusters shared by cyanobacterial and cyanophage genomes. Gene expression data for Prochlorococcus ecotypes MED4 and MIT9313 allow users to identify genes that are up or downregulated in response to environmental stressors. In addition, the transcriptome in synchronized cells grown on a 24-h light-dark cycle reveals the choreography of gene expression in cells in a ''natural'' state. Metagenomic sequences from the Global Ocean Survey from Prochlorococcus, Synechococcus and phage genomes are archived so users can examine the differences between populations from diverse habitats. Finally, an example of cyanobacterial population data from the field is included. | genomic, metagenomic, transcriptomic, field data, marine cyanobacterium, genome, ecosystem, ecotypic variation, microbial taxon, phage, genome, gene, orthologous gene cluster, cyanobacteria, cyanophage genome, population dynamics, microarray, metagenome, protein, cyanophage, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
NSF OCE-0425602; NSF EF0424599; DOE DE-FG02-02ER63445; DOE DE-FG02-08ER64516; DOE DE-FG02-07ER64506; Gordon and Betty Moore Foundation award letter 495.01 |
PMID:22102570 | Public | nlx_151586, biotools:proportal | https://bio.tools/proportal | SCR_006112 | Prochlorococcus Portal | 2026-08-05 10:44:26 | 9 | ||||
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PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | data analysis service, production service resource, service resource, analysis 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 | 2026-08-05 10:44:23 | 54 | ||||
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mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | data analysis service, production service resource, service resource, analysis 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 | 2026-08-05 10:44:23 | 7 | ||||||
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GO2MSIG Resource Report Resource Website 1+ mentions |
GO2MSIG (RRID:SCR_018359) | data or information resource, data set |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists. Gene set collections can be automatically created for wide variety of species. |
bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Broad Institute |
PMID:24884810 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:go2msig | https://bio.tools/go2msig | http://www.go2msig.org/cgi-bin/go2msig.cgi | SCR_018359 | 2026-08-05 10:47:01 | 4 | ||||||
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GEMINI Resource Report Resource Website 500+ mentions |
GEMINI (RRID:SCR_014819) | software resource | Framework for exploring genetic variation in the context of the genome annotations available for the human genome. Users can load a VCF file into a database and each variant is automatically annotated by comparing it to several genome annotations from source such as ENCODE tracks, UCSC tracks, OMIM, dbSNP, KEGG, and HPRD. | framework, genetic variation, annotation, human, genome, vcf, database, , bio.tools, FASEB list |
uses: KEGG uses: ENCODE uses: OMIM uses: dbSNP uses: HPRD - Human Protein Reference Database is listed by: Debian is listed by: bio.tools has parent organization: University of Utah; Utah; USA |
DOI:10.1371/journal.pcbi.1003153 | Freely available | biotools:gemini | https://github.com/arq5x/gemini, https://bio.tools/gemini | SCR_014819 | GEnome MINIng (GEMINI), GEMINI - a flexible framework for exploring genome variation, Genome Mining, GEnome MINIng | 2026-08-01 12:05:18 | 515 | ||||||
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Peakzilla Resource Report Resource Website 1+ mentions |
Peakzilla (RRID:SCR_007471) | Peakzilla | software resource | An algorithm to identify transcription factor binding sites from ChIP-seq data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
biotools:peakzilla, OMICS_00454 | https://bio.tools/peakzilla | SCR_007471 | 2026-08-01 12:03:37 | 6 | ||||||||
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AmpliconNoise Resource Report Resource Website 50+ mentions |
AmpliconNoise (RRID:SCR_007814) | AmpliconNoise | software resource | A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
DOI:10.1186/1471-2105-12-38 | biotools:pyronoise, OMICS_01112 | https://bio.tools/pyronoise, https://sources.debian.org/src/anfo/ | SCR_007814 | 2026-08-01 12:03:34 | 90 | |||||||
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Laniakea Resource Report Resource Website 1+ mentions |
Laniakea (RRID:SCR_018146) | software resource | Software tool for automatic deployment of virtual Galaxy environments for life science. Can be deployed over common cloud architectures supported both by public and private e-infrastructures. User interacts with Laniakea based service through simple front end that allows general setup of Galaxy instance, then Laniakea takes care of automatic deployment of virtual hardware and software components. User gains access with full administrative privileges to private, production grade, fully customized, Galaxy virtual instance, and to underlying virtual machine. | Automatic deployment, virtual Galaxy, life science environment, virtual machine, cloud architecture, Elixir Italy, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: ELIXIR Tools and Data Services Registry |
Restricted | biotools:Laniakea | https://bio.tools/Laniakea | SCR_018146 | Galaxy cloud on demand workflow workbench | 2026-08-01 12:06:11 | 1 | |||||||
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Kalign Resource Report Resource Website 100+ mentions |
Kalign (RRID:SCR_011810) | Kalign | software resource | A fast and accurate multiple sequence alignment algorithm. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: European Bioinformatics Institute |
PMID:16343337 DOI:10.1093/bioinformatics/btz795 |
Free | OMICS_00978, biotools:kalign | https://bio.tools/kalign, https://sources.debian.org/src/kalign/ | SCR_011810 | 2026-08-01 12:04:19 | 119 | ||||||
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CGView Resource Report Resource Website 100+ mentions |
CGView (RRID:SCR_011779) | CGView | software resource | A Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of Alberta; Alberta; Canada |
DOI:10.1093/bioinformatics/bti054 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00905, biotools:cgview | https://bio.tools/cgview, https://sources.debian.org/src/cgview/ | SCR_011779 | Circular Genome Viewer | 2026-08-01 12:04:17 | 304 | |||||
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PSAR-Align Resource Report Resource Website 1+ mentions |
PSAR-Align (RRID:SCR_011814) | PSAR-Align | software resource | Software for improving multiple sequence alignment using probabilistic sampling. | c++, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:24222208 | Free | OMICS_00987, biotools:psar | https://bio.tools/psar | SCR_011814 | PSAR-Align: improving multiple sequence alignment using probabilistic sampling | 2026-08-01 12:04:30 | 1 |
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