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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NRG-CING Resource Report Resource Website 1+ mentions |
NRG-CING (RRID:SCR_006079) | NRG-CING | data or information resource, database | NRG-CING presents a complete validation report for all 9,000+ wwPDB NMR entries including remediated experimental data such as chemical shifts from BMRB and restraints from NRG . These CING reports are compiled from internal analyses and those by CCPN, DSSP, PROCHECK-NMR/Aqua, ShiftX, Talos+, Vasco, Wattos, and WHAT_CHECK. The NRG-CING website is a collection of CING reports that has been pre-calculated for all PDB files solved by NMR. (See website for more information on CING.) In case the underlying experimental data is available, these have been cleaned up and made syntactically and semantically correct and homogeneous. For many macromolecular NMR ensembles from the Protein Data Bank (PDB) the experiment-based restraint lists used in the structure calculation are accessible, while other experimental data, mainly chemical shift values, are often available from the BioMagResBank. Assessment of the quality of the structural result is paramount to their usage and a combined, integrated repository of both input data and structural results greatly facilitates such an analysis. In addition, the accuracy and precision of the coordinates in these macromolecular NMR ensembles can be improved by recalculations using the available experimental data and present-day software with improved protocols and force fields. Such efforts, however, generally fail on over half of all deposited structures due to the syntactic and semantic heterogeneity of the data and the wide variety of formats used for their deposition. We have combined the cleaned-up restraints information from the NMR Restraints Grid (NRG) database with available chemical shifts from the BioMagResBank in the weekly updated NRG-CING database. Eleven programs, in addition to CING itself, have been included in the NRG-CING production pipeline to arrive at validation reports that list for each entry the potential inconsistencies between the coordinates and the available restraint and chemical shift data. The longitudinal validation of this data yielded a set of indicators that can be used to judge the quality of every macromolecular structure solved with NMR. The cleaned up NMR experimental datasets and the validation reports are freely available. | macromolecular structure, nmr, macromolecule, restraint, chemical shift, validation report, validation, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Worldwide Protein Data Bank (wwPDB) is related to: NMR Restraints Grid is related to: Biological Magnetic Resonance Data Bank (BMRB) has parent organization: Radboud University; Nijmegen; The Netherlands |
Netherlands Organization for Scientific Research (NWO) 700.55.443; Netherlands Bioinformatics Centre (NBIC) ; EU FP6 LSHG-CT-2005-018988; EU FP6 LHSG-CT-2004-512092; EU FP7 261572; Brussels Institute for Research and Innovation BB2B 2010-1-12; NLM LM05799 |
PMID:22139937 | Free | nlx_151486, biotools:nrg-cing | https://bio.tools/nrg-cing | SCR_006079 | 2026-09-05 06:31:33 | 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 | 2026-09-05 06:31:33 | 9 | ||||
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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 | 2026-09-05 06:31:32 | 98 | |||||||
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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 | 2026-09-05 06:31:32 | 1 | ||||
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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 | 2026-09-05 06:31:32 | 4 | |||||
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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 | 2026-09-05 06:31:32 | 2 | |||||
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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 | 2026-09-05 06:31:32 | 18 | ||||||
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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 | analysis service resource, data analysis service, production service resource, 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) | 2026-09-05 06:31:35 | 40 | ||||
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PRED-TMBB Resource Report Resource Website 50+ mentions |
PRED-TMBB (RRID:SCR_006190) | PRED-TMBB | analysis service resource, data analysis service, production service resource, 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 | 2026-09-05 06:31:34 | 58 | ||||
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mitopred Resource Report Resource Website 1+ mentions |
mitopred (RRID:SCR_006135) | MITOPRED | analysis service resource, data analysis service, production service resource, 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 | 2026-09-05 06:31:33 | 7 | ||||||
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GeneTrail Resource Report Resource Website 100+ mentions |
GeneTrail (RRID:SCR_006250) | GeneTrail | analysis service resource, data analysis service, production service resource, 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 | 2026-09-05 06:31:34 | 114 | ||||||
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Magic Resource Report Resource Website 500+ mentions |
Magic (RRID:SCR_006406) | MAGIC | data or information resource, database, service resource | Web based interface for exploring and analyzing a comprehensive maize-specific cross-platform expression compendium. This compendium was constructed by collecting, homogenizing and formally annotating publicly available microarrays from Gene Expression Omnibus (GEO), and ArrayExpress. | gene expression, microarray, development stage, annotation, line, perturbation, gene, contrast, pathway, locus tag, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Expression Omnibus is related to: ArrayExpress is related to: Plant Ontology is related to: Gene Ontology has parent organization: Ghent University; Ghent; Belgium |
PMID:24407224 | biotools:magic, OMICS_02206 | https://bio.tools/magic | SCR_006406 | MAGIC - MAize Gene expressIon Compendium, MAize Gene expressIon Compendium | 2026-09-05 06:31:35 | 709 | ||||||
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CAPS Database Resource Report Resource Website 1+ mentions |
CAPS Database (RRID:SCR_006862) | CAPS-DB | data or information resource, database | It is a structural classification of helix-cappings or caps compiled from protein structures. Caps extracted from protein structures have been structurally classified based on geometry and conformation and organized in a tree-like hierarchical classification where the different levels correspond to different properties of the caps. CASP-DB is fully browsable and searchable and is regularly updated. The regions of the polypeptide chain immediately preceding or following a helix are known as Nt- and Ct cappings, respectively. Cappings play a central role stabilizing helices due to lack of intrahelical hydrogen bonds in the first and last turn. Sequence patterns of amino acid type preferences have been derived for cappings but the structural motifs associated to them are still unclassified. CAPS-DB is a database of clusters of structural patterns of different capping types. The clustering algorithm is based in the geometry and the space conformation of these regions. CAPS-DB is a relational database that allows the user to search, browse, inspect and retrieve structural data associated to cappings. The contents of CAPS-DB might be of interest to a wide range of scientist covering different areas such as protein design and engineering, structural biology and bioinformatics. CapsDB v4.0 * PDB structures: 4591 * Number of clusters: 859 * Number of caps: 31452 | structural classification, helix-capping, protein engineering, clustering, 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: Aberystwyth University; Wales; United Kingdom |
Research Councils United Kingdom Academic Fellow scheme ; Leeds Institute of Molecular Medicine ; MICINN and FEDER BIO2011-22568 |
PMID:22021380 | biotools:caps-db, nlx_149414 | http://www.bioinsilico.org/CAPSDB, https://bio.tools/caps-db | SCR_006862 | CAPS - Database | 2026-09-05 06:31:37 | 2 | |||||
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SCOP: Structural Classification of Proteins Resource Report Resource Website 50+ mentions |
SCOP: Structural Classification of Proteins (RRID:SCR_007039) | data or information resource, database | The Structural Classification of Proteins (SCOP) database is a comprehensive ordering of all proteins of known structure, according to their evolutionary and structural relationships. Protein domains in SCOP are hierarchically classified into families, superfamilies, folds and classes. The continual accumulation of sequence and structural data allows more rigorous analysis and provides important information for understanding the protein world and its evolutionary repertoire. SCOP participates in a project that aims to rationalize and integrate the data on proteins held in several sequence and structure databases. As part of this project, starting with release 1.63, we have initiated a refinement of the SCOP classification, which introduces a number of changes mostly at the levels below superfamily. The pending SCOP reclassification will be carried out gradually through a number of future releases. In addition to the expanded set of static links to external resources, available at the level of domain entries, we have started modernization of the interface capabilities of SCOP allowing more dynamic links with other databases. | bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: IndelFR - Indel Flanking Region Database is related to: SUPFAM is related to: DOMMINO - Database Of MacroMolecular INteractiOns has parent organization: MRC Laboratory of Molecular Biology |
PMID:14681400 | nlx_94704, biotools:scop | https://bio.tools/scop | SCR_007039 | Structural Classification of Proteins database, SCOP database | 2026-09-05 06:31:37 | 98 | |||||||
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MyHits Resource Report Resource Website 10+ mentions |
MyHits (RRID:SCR_006757) | data or information resource, database | Database devoted to protein domains. It is also a collection of tools for the investigation of the relationships between protein sequences and motifs described on them. | protein, domain, motif, sequence, predictor, markov, model, gene, expression, mysql, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:17545200 | Free | nif-0000-02962, biotools:myhits | https://bio.tools/myhits | SCR_006757 | MyHit | 2026-09-05 06:31:36 | 41 | ||||||
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CuticleDB Resource Report Resource Website 10+ mentions |
CuticleDB (RRID:SCR_007045) | cuticleDB | data or information resource, database | A relational database containing all structural proteins of Arthropod cuticle identified to date. Many come from direct sequencing of proteins isolated from cuticle and from sequences from cDNAs that share common features with these authentic cuticular proteins. It also includes proteins from the five sequenced genomes where manual annotation has been applied to cuticular proteins: Anopheles gambiae, Apis mellifera, Bombyx mori, Drosophila melanogaster, and Nasonia vitripennis. Some sequences were confirmed as authentic cuticular proteins because protein sequencing revealed that they were present in cuticle; others were identified by sequence homology and other criteria. Entries provides information about whether sequences are putative or authentic cuticular proteins. CuticleDB was primarily designed to contain correct and full annotation of cuticular protein data. The database will be of help to future genome annotators. Users will be able to test hypotheses for the existence of known and also of yet unknown motifs in cuticular proteins. An analysis of motifs may contribute to understanding how proteins contribute to the physical properties of cuticle as well as to the precise nature of their interaction with chitin. | genome, cuticle, cuticle protein, cuticular protein, cdna, protein, insect, exoskeleton, annotation, chitin, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
University of Athens; Athens; Greece ; NIAID AI055624 |
PMID:15453918 | biotools:cuticledb, nif-0000-02708 | https://bio.tools/cuticledb | SCR_007045 | CuticleDB - A relational database of Arthropod cuticular proteins | 2026-09-05 06:31:37 | 14 | |||||
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DisProt - Database of Protein Disorder Resource Report Resource Website 100+ mentions |
DisProt - Database of Protein Disorder (RRID:SCR_007097) | data or information resource, database | The Database of Protein Disorder (DisProt) is a curated database that provides information about proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Users can BLAST sequences, browse by protein name, or view by protein function and functional subclass. | protein, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Temple University; Pennsylvania; USA |
nif-0000-02754, r3d100010561, biotools:disprot | https://bio.tools/disprot, https://doi.org/10.17616/R3NG75 | http://divac.ist.temple.edu/disprot | SCR_007097 | DisProt | 2026-09-05 06:31:38 | 223 | |||||||
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AthaMap Resource Report Resource Website 50+ mentions |
AthaMap (RRID:SCR_006717) | data or information resource, database | Genome wide map of putative transcription factor binding sites in Arabidopsis thaliana genome.Data in AthaMap is based on published transcription factor (TF) binding specificities available as alignment matrices or experimentally determined single binding sites.Integrated transcriptional and post transcriptional data.Provides web tools for analysis and identification of co-regulated genes. Provides web tools for database assisted identification of combinatorial cis-regulatory elements and the display of highly conserved transcription factor binding sites in Arabidopsis thaliana. | gene, arabidopsis thaliana, binding site, genome, transcription factor, small rna binding site, small rna, rna, microrna, cis-regulatory element, post-transcriptional regulation, FASEB list |
is listed by: OMICtools is listed by: bio.tools has parent organization: Technical University of Braunschweig; Braunschweig; Germany |
PMID:22800758 PMID:21177332 PMID:18842622 PMID:17148485 PMID:16922688 PMID:15980498 PMID:14681436 |
Free, Freely available | nif-0000-02583, biotools:athamap, OMICS_00549, nif-0000-20814, SCR_013106 | https://bio.tools/athamap | SCR_006717 | Arabidopsis thaliana Map | 2026-09-05 06:31:36 | 50 | ||||||
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GBrowse Resource Report Resource Website 10+ mentions |
GBrowse (RRID:SCR_006829) | GBrowse | data or information resource, database | A database and interactive web site for manipulating and displaying annotations on genomes. Features include: detailed views of the genome; use of a variety of premade or personally made glyphs ; customizable order and appearance of tracks by administrators and end-users; search by annotation ID, name, or comment; support of third party annotation using GFF formats; DNA and GFF dumps; connectivity to different databases, including BioSQL and Chado; and a customizable plug-in architecture (e.g. run BLAST, find oligonucleotides, design primers, etc.). GBrowse is distributed as source code for Macintosh OS X, UNIX and Linux platforms, and as pre-packaged binaries for Windows machines. It can be installed using the standard Perl module build procedure, or automated using a network-based install script. In order to use the net installer, you will need to have Perl 5.8.6 or higher and the Apache web server installed. The wiki portion accepts data submissions. | genome, annotation, database, perl, virus, dna, protein, reference sequence, chromosome, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: WormBase is related to: FlyBase is related to: International HapMap Project has parent organization: Generic Model Organism Database Project has parent organization: Indiana University; Indiana; USA |
Howard Hughes Medical Institute ; NHGRI HG00739; NHGRI P41HG02223 |
PMID:19957275 PMID:18428797 PMID:12368253 PMID:21400697 PMID:20194461 PMID:19357095 DOI:10.1002/0471250953.bi0909s28 |
The community can contribute to this resource, Requires Perl 5.8.6 or higher and the Apache web server | OMICS_00910, biotools:gbrowse, nif-0000-30597 | http://gmod.org/wiki/GBrowse, https://bio.tools/gbrowse, https://sources.debian.org/src/gbrowse/ | SCR_006829 | Generic Genome Browser | 2026-09-05 06:31:36 | 43 | ||||
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SWISS-2DPAGE Resource Report Resource Website 1+ mentions |
SWISS-2DPAGE (RRID:SCR_006946) | data or information resource, database | A database of proteins identified by various 2-D PAGE and SDS-PAGE reference maps. Each SWISS-2DPAGE entry contains textual data on one protein, including mapping procedures, physiological and pathological information, experimental data (isoelectric point, molecular weight, amino acid composition, peptide masses) and bibliographical references. In addition to this textual data, SWISS-2DPAGE provides several 2-D PAGE and SDS-PAGE images showing the experimentally determined location of the protein, as well as a theoretical region computed from the sequence protein, indicating where the protein might be found in the gel. Using the database, users can locate these proteins on the 2-D PAGE maps or display the region of a 2-D PAGE map where one might expect to find a protein from UniProtKB/Swiss-Prot. | bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: University of Geneva; Geneva; Switzerland |
biotools:swiss-2dpage, nif-0000-03521 | https://bio.tools/swiss-2dpage | SCR_006946 | SWISS-2DPAGE | 2026-09-05 06:31:37 | 3 |
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