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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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MutationAssessor Resource Report Resource Website 500+ mentions |
MutationAssessor (RRID:SCR_005762) | mutationassessor.org | production service resource, data analysis service, analysis service resource, service resource | A web server that predicts the functional impact of amino-acid substitutions in proteins, such as mutations discovered in cancer or nonsynonymous polymorphisms. The functional impact is assessed based on evolutionary conservation of the affected amino acid in protein homologs. The method has been validated on a large set (51k) of disease associated (OMIM) and polymorphic variants., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | cancer, protein, mutation, function, amino-acid, substitution |
is listed by: OMICtools is listed by: SoftCite |
PMID:21727090 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00134, nlx_149228 | SCR_005762 | MutationAssessor - functional impact of protein mutations, MutationAssessor - functional impact of mutations, mutationassessor.org - functional impact of protein mutations | 2026-08-10 09:32:39 | 693 | ||||||
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IndelFR - Indel Flanking Region Database Resource Report Resource Website 1+ mentions |
IndelFR - Indel Flanking Region Database (RRID:SCR_006050) | IndelFR | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. Indel Flanking Region Database is an online resource for indels and the flanking regions of proteins in SCOP superfamilies, including amino acid sequences, lengths, locations, secondary structure constitutions, hydrophilicity / hydrophobicity, domain information, 3D structures and so on. It aims at providing a comprehensive dataset for analyzing the qualities of amino acid insertion/deletions(indels), substitutions and the relationship between them. The indels were obtained through the pairwise alignment of homologous structures in SCOP superfamilies. The IndelFR database contains 2,925,017 indels with flanking regions extracted from 373,402 structural alignment pairs of 12,573 non-redundant domains from 1053 superfamilies. IndelFR has already been used for molecular evolution studies and may help to promote future functional studies of indels and their flanking regions. | indel, flanking region, protein, structural domain, domain, protein superfamily, protein structure, insertion/deletion, insertion, deletion, protein sequence, sequence, structure, protein domain, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: SCOP: Structural Classification of Proteins is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Shandong University; Shandong; China |
Independent Innovation Foundation of Shandong University 2009JC006; National Natural Science Foundation of China 30970092; National Natural Science Foundation of China 61070017; Scientific Research Reward Fund for excellent Young and Middle-Aged scientists in Shandong Province 20090451326 |
PMID:22127860 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:indelfr, nlx_151448 | https://bio.tools/indelfr | SCR_006050 | IndelFR: Indel Flanking Region Database, Indel Flanking Region Database | 2026-08-10 09:32:43 | 2 | ||||
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UTRome.org Resource Report Resource Website 1+ mentions |
UTRome.org (RRID:SCR_005878) | data or information resource, database | This database is intended as a comprehensive resource for UTR (Untranslated Region) biology in C. elegans. The database provides detailed information on UTR structures for all protein-coding mRNAs, and includes annotations extracted from other databases (such as WormBase and PicTar) as well as new annotations generated as part of the NYU UTRome project (including preliminary characterization of UTR clones, USTs (UTR sequence tags), curated sequences, and computational and experimental analysis of functional elements). Examples of functional elements within UTRs include predicted and validated microRNA (miRNA) binding sites (responsible for post-transcriptional gene regulation), putative consensus signals for polyA addition, and predicted secondary structures (which may influence the biological activity of UTRs). The UTRome project is part of the ModEncode Consortium, an NIH initiative to characterize at a genomic scale functional sequence elements encoded in the worm (C. elegans) and fly (D. melanogaster) genomes. UTRs are important portions of mRNAs required for post-transcriptional regulation by interacting with proteins or non-coding RNAs (e.g. microRNAs). To study the role of UTRs we are building a UTR database for C. elegans. | has parent organization: New York University; New York; USA | nif-0000-03620 | SCR_005878 | UTRome | 2026-08-10 09:32:40 | 6 | ||||||||||
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ProfCom - Profiling of complex functionality Resource Report Resource Website 1+ mentions |
ProfCom - Profiling of complex functionality (RRID:SCR_005797) | ProfCom | production service resource, data analysis service, analysis service resource, 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) | 2026-08-10 09:32:39 | 4 | ||||
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ROAR Resource Report Resource Website 10+ mentions |
ROAR (RRID:SCR_005951) | ROAR | data or information resource, database, registry | Listing of institutional repositories for depositing preprints of published materials with the aim of promoting the development of open access by providing timely information about the growth and status of repositories throughout the world. Open access to research maximizes research access and thereby also research impact, making research more productive and effective. Repository Types: * Research Institutional or Departmental * Research Multi-institution Repository * Research Cross-Institutional * e-Journal/Publication * e-Theses * Database/A&I Index * Research Data * Open and Linked Data * Learning and Teaching Objects * Demonstration * Web Observatory * Other Repository Software: * ARNO * Bepress * CDS Invenio * ContentDM by OCLC * DIGIBIB * DigiTool * DiVA * DoKS * DSpace * EDOC * EPrints * Equella * ETD-db * Fedora ** Fez * Greenstone * HAL * i-Tor * IntraLibrary * Keystone DLS * MiTOS * MyCoRe * Open Journal System * Open Repository * OPUS (Open Publications System) * Other softwares (various) * PMB Services * SBCAT * SciX * SobekCM * WIKINDX * Zentity | archive, repository, registry, software, open access |
is listed by: FORCE11 is related to: ROARMAP: Registry of Open Access Repositories Mandatory Archiving Policies is related to: ROARMAP: Registry of Open Access Repositories Mandatory Archiving Policies has parent organization: University of Southampton; Southampton; United Kingdom |
JISC | Open unspecified license, The community can contribute to this resource | nlx_151309 | SCR_005951 | Registry of Open Access Repositories | 2026-08-10 09:32:42 | 22 | ||||||
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Tree of Life Web Project Resource Report Resource Website 10+ mentions |
Tree of Life Web Project (RRID:SCR_005673) | ToL | data or information resource, database | A collection of information about biodiversity compiled collaboratively by hundreds of expert and amateur contributors. Its goal is to contain a page with pictures, text, and other information for every species and for each group of organisms, living or extinct. Connections between Tree of Life web pages follow phylogenetic branching patterns between groups of organisms, so visitors can browse the hierarchy of life and learn about phylogeny and evolution as well as the characteristics of individual groups. | genomics, invertebrate, taxonomy, image, phylogeny, FASEB list |
is listed by: re3data.org has parent organization: University of Arizona; Arizona; USA |
NSF DBI-0078294; NSF DUE-0333715; NSF EF-0531754 |
The community can contribute to this resource, Acknowledgement requested, Copyrighted, Creative Commons Attribution-NonCommercial License, (ToL Glossary), Creative Commons Attribution License | r3d100010351, nif-0000-03586 | https://doi.org/10.17616/R30K6X | http://phylogeny.arizona.edu/tree/phylogeny.html | SCR_005673 | Tree of Life | 2026-08-10 09:32:37 | 39 | ||||
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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 | 2026-08-10 09:32:44 | 64 | ||||||
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GOtcha Resource Report Resource Website 1+ mentions |
GOtcha (RRID:SCR_005790) | GOtcha | production service resource, data analysis service, analysis service resource, service resource | GOtcha provides a prediction of a set of GO terms that can be associated with a given query sequence. Each term is scored independently and the scores calibrated against reference searches to give an accurate percentage likelihood of correctness. These results can be displayed graphically. Why is GOtcha different to what is already out there and why should you be using it? * GOtcha uses a method where it combines information from many search hits, up to and including E-values that are normally discarded. This gives much better sensitivity than other methods. * GOtcha provides a score for each individual term, not just the leaf term or branch. This allows the discrimination between confident assignments that one would find at a more general level and the more specific terms that one would have lower confidence in. * The scores GOtcha provides are calibrated to give a real estimate of correctness. This is expressed as a percentage, giving a result that non-experts are comfortable in interpreting. * GOtcha provides graphical output that gives an overview of the confidence in, or potential alternatives for, particular GO term assignments. The tool is currently web-based; contact David Martin for details of the standalone version. Platform: Online tool | function, protein, prediction, genome, annotation, gene, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Dundee; Scotland; United Kingdom |
Wellcome Trust 060269; European Union fifth framework QLRI-CT-2000-00127 |
PMID:15550167 | Free for academic use | nlx_149269 | http://www.compbio.dundee.ac.uk/Software/GOtcha/gotcha.html | SCR_005790 | 2026-08-10 09:32:39 | 3 | |||||
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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 | 2026-08-10 09:32:45 | 1 | ||||
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GoAnnotator Resource Report Resource Website 1+ mentions |
GoAnnotator (RRID:SCR_005792) | GOAnnotator | production service resource, data analysis service, analysis service resource, service resource | A tool for assisting the GO annotation of UniProt entries by linking the GO terms present in the uncurated annotations with evidence text automatically extracted from the documents linked to UniProt entries. Platform: Online tool | text mining, protein, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: UniProt has parent organization: University of Lisbon; Lisbon; Portugal |
European Union contract QLRI-1999-50595 | PMID:17181854 | Free for academic use | nlx_149303 | SCR_005792 | 2026-08-10 09:32:39 | 1 | ||||||
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FaceBase Biorepository Resource Report Resource Website 1+ mentions |
FaceBase Biorepository (RRID:SCR_006001) | FaceBase Biorepository | material resource, tissue bank, biomaterial supply resource | THIS RESOURCE IS NO LONGER IN SERVICE,documented on January,18, 2022. FaceBase Biorepository is now collecting biological samples from people with cleft lip/palate and their family members. Information for Prospective Cases: Clefts of the lip and/or palate can be caused by a wide range of genetic, environmental and other factors. The FaceBase Biorepository will serve as a common source of both biological samples and information that can be made available to investigators trying to determine the underlying cause of these common birth defects. Genetic studies, in particular, will benefit from both family history information and having samples from affected individuals as well as their family members. DNA is the information containing molecules found in all the cells of our body and can be easily obtained from material such as blood or saliva samples. As part of the FaceBase Biorepository, we are requesting families to submit biological samples from specific family members as well as information from other family members that might be affected with either the same condition or a similar condition. The medical and family history information that is collected includes other relevant information such as exposure to possible environmental causes during pregnancy. The biorepository is managed by Nichole Nidey, a research study coordinator, and Jeff Murray, a pediatric clinical geneticist and researcher. They are available to speak with family members regarding questions they may have, including providing information about the biorepository and making arrangements for the collection of samples for those who wish to participate. All participation is voluntary. Your name or other personally identifiable information (name, address, etc) will be removed before information is placed in the biorepository. Summary data to show how the database itself has been used overall as well as updates on whether specific findings might have been made using this database will be available on the FaceBase website at www.facebase.org. A newsletter containing this information will also be given to families and referring clinicians so that they may discuss the specifics with the families if there appears to be information that might be relevant in a particular case. Families will also need to sign a consent form that has been approved by the Institutional Review Board at the University of Iowa. Also, any submitted samples or data can also be removed from the database at any time should the family no longer wish to participate. Investigators interested in requesting DNA samples or for more information, please contact cleftresearch (at) uiowa.edu, Nichole Nidey, nichole-nidey (at) uiowa.edu or (319) 353-4365, or Jeff Murray, jeff-murray (at) uiowa.edu. | birth defect, genetic, environment, gene |
is listed by: One Mind Biospecimen Bank Listing has parent organization: FaceBase |
Cleft lip, Cleft palate, Family member, Campomelic Dysplasia, Chromosome Abnormality, Congenital Heart Disease, Facial clefting-Tessier Type 4, Gordon Syndrome, Hemifacial Microsomia, Idiopathic Short Stature, Marshall/Stickler, Microtia, Multiple Congenital Anomaly, Neurofibromatosis, Pierre Robin, Popliteal Pterygium Syndrome, Robinow, Downs syndrome, Townes-Brock Syndrome, Van der Woude Syndrome, Popliteal Pterygium Syndrome, Wildervanck Syndrome | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151379 | SCR_006001 | 2026-08-10 09:32:43 | 1 | |||||||
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GoPubMed Resource Report Resource Website 10+ mentions |
GoPubMed (RRID:SCR_005823) | GoPubMed | data or information resource, database, service resource | A web server which allows users to explore PubMed search results with the Gene Ontology, a hierarchically structured vocabulary for molecular biology. GoPubMed submits a user''''s keywords to PubMed, retrieves the abstracts, detects Gene Ontology terms in the abstracts, displays the subset of Gene Ontology relevant to the original query, and allows the user to browse through the ontology displaying associated papers and their GO annotation. Platform: Online tool | other analysis, literature curation and exploration, gene ontology, pubmed, literature, bio.tools |
is listed by: OMICtools is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: PubMed has parent organization: Biotechnology Center of the TU Dresden |
European Union IST-2004-506779 | PMID:15980585 | Free for academic use | biotools:gopubmed, nlx_149328, OMICS_01183 | https://bio.tools/gopubmed | SCR_005823 | 2026-08-10 09:32:40 | 29 | |||||
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GOSlimViewer Resource Report Resource Website 10+ mentions |
GOSlimViewer (RRID:SCR_005665) | GOSlimViewer | production service resource, data analysis service, analysis service resource, service resource | Service to summarize the GO function associated with a data set using prepared GO Slim sets. The input is a tab separated list of gene product IDs and GO IDs. | agriculture, browser, slimmer-type tool, gene ontology, gene, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: AgBase |
USDA ; Mississippi State University; Mississippi; USA ; MSU Office of Research ; MSU Bagley College of Engineering ; MSU College of College of Veterinary Medicine ; MSU Life Science and Biotechnology Institute |
PMID:17135208 PMID:16961921 |
Free for academic use | nlx_149103, OMICS_02270 | SCR_005665 | GO Slim Viewer, GOSlim Viewer | 2026-08-10 09:32:37 | 40 | |||||
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PIPE-CLIP Resource Report Resource Website 10+ mentions |
PIPE-CLIP (RRID:SCR_005820) | PIPE-CLIP | production service resource, data analysis service, analysis service resource, service resource | A Galaxy framework-based online pipeline for reliable analysis of data generated by three types of CLIP-seq protocols: HITS-CLIP, PAR-CLIP and iCLIP. It provides both data processing and statistical analysis to determine candidate cross-linking regions, which are comparable to those regions identified from the original studies or using existing computational tools., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | clip-seq, python, bioinformatics, r, high-thoughput sequencing, rna-binding protein, rna |
is listed by: OMICtools is related to: Galaxy has parent organization: University of Texas Southwestern Medical Center; Texas; USA has parent organization: Google Code |
PMID:24451213 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02254 | https://github.com/QBRC/PIPE-CLIP | SCR_005820 | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis | 2026-08-10 09:32:40 | 10 | |||||
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Expression Profiler Resource Report Resource Website 1+ mentions |
Expression Profiler (RRID:SCR_005821) | Expression Profiler | production service resource, data analysis service, analysis service resource, 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 | 2026-08-10 09:32:39 | 6 | ||||
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GOChase Resource Report Resource Website 1+ mentions |
GOChase (RRID:SCR_005822) | GOChase | production service resource, data analysis service, analysis service resource, service resource | GOChase is a set of web-based utilities to detect and correct the errors in GO-based annotations. # GOChase-History resolves the whole modification history of GO IDs. # GOChase-Correct highlights merged GO IDs and redirects to the correct primary term into which the secondary ID was merged. For obsolete GO terms, the nearest non-discarded parent term is recommended by GOChase. This function may be used by GO browsers such as AmiGO and QuickGO to fix broken hyperlinks. # A whole database (such as LocusLink) as a flat file can be loaded into GOChase, reporting the annotation errors and GOChase corrections. # When one inputs a GO ID, GOChase will resolve all gene products annotated with the GO ID across all the major databases. Platform: Online tool | other analysis, historical views of go, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Seoul National University College of Medicine; Seoul; South Korea |
Ministry of Health and Welfare - Republic of Korea 0405-BC0206040004 | PMID:15513987 | Free for academic use | nlx_149324 | SCR_005822 | GOChase: correcting errors from gene ontology-based annotations for gene products | 2026-08-10 09:32:39 | 1 | |||||
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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 | 2026-08-10 09:32:44 | 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 | 2026-08-10 09:32:44 | 9 | ||||
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SGD Gene Ontology Slim Mapper Resource Report Resource Website 10+ mentions |
SGD Gene Ontology Slim Mapper (RRID:SCR_005784) | GO Slim Mapper | production service resource, data analysis service, analysis service resource, service resource | The GO Slim Mapper (aka GO Term Mapper) maps the specific, granular GO terms used to annotate a list of budding yeast gene products to corresponding more general parent GO slim terms. Uses the SGD GO Slim sets. Three GO Slim sets are available at SGD: * Macromolecular complex terms: protein complex terms from the Cellular Component ontology * Yeast GO-Slim: GO terms that represent the major Biological Processes, Molecular Functions, and Cellular Components in S. cerevisiae * Generic GO-Slim: broad, high level GO terms from the Biological Process and Cellular Component ontologies selected and maintained by the Gene Ontology Consortium (GOC) Platform: Online tool | gene, annotation, gene ontology, protein complex, biological process, molecular function, cellular component, gene ontology, orf, yeast, statistical analysis, slimmer-type tool, function |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: SGD |
Free for academic use | nlx_149258 | SCR_005784 | GO Term Mapper, Gene Ontology Slim Mapper | 2026-08-10 09:32:39 | 31 | |||||||
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YanHuang Project Resource Report Resource Website 50+ mentions |
YanHuang Project (RRID:SCR_006077) | data or information resource, database | This database presents the entire DNA sequence of the first diploid genome sequence of a Han Chinese, a representative of Asian population. The genome, named as YH, represents the start of YanHuang Project, which aims to sequence 100 Chinese individuals in 3 years. It was assembled based on 3.3 billion reads (117.7Gbp raw data) generated by Illumina Genome Analyzer. In total of 102.9Gbp nucleotides were mapped onto the NCBI human reference genome (Build 36) by self-developed software SOAP (Short Oligonucleotide Alignment Program), and 3.07 million SNPs were identified. The personal genome data is illustrated in a MapView, which is powered by GBrowse. A new module was developed to browse large-scale short reads alignment. This module enabled users track detailed divergences between consensus and sequencing reads. In total of 53,643 HGMD recorders were used to screen YH SNPs to retrieve phenotype related information, to superficially explain the donor's genome. Blast service to align query sequences against YH genome consensus was also provided. | genome, genetic, adult, chromosome, clinical, control, genomic, human, normal, FASEB list | has parent organization: BGI; Shenzhen; China | nif-0000-03654 | SCR_006077 | YH1 | 2026-08-10 09:32:44 | 53 |
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