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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Apollo Resource Report Resource Website 100+ mentions |
Apollo (RRID:SCR_001936) | Apollo | software application, software resource | A standalone Java application with a GUI (graphical user interface) for editing genome annotations. Like GBrowse, it allows users to scroll and zoom in on areas of interest in a sequence; authorized users can edit annotations and write the changes back to the underlying database. Apollo can run off GFF3 or a Chado database, and it can also integrate with remote services, such as BLAST and Primer BLAST analyses. | java, genome annotation, genome, annotation, windows, mac os x, linux, solaris, unix, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Generic Model Organism Database Project |
PMID:19439563 PMID:12537571 DOI:10.1186/gb-2002-3-12-research0082 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_11761, biotools:apollo, OMICS_01933 | https://bio.tools/apollo, https://sources.debian.org/src/aragorn/ | SCR_001936 | 2026-09-19 12:57:44 | 301 | ||||||
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The Cancer Genome Atlas Resource Report Resource Website 5000+ mentions |
The Cancer Genome Atlas (RRID:SCR_003193) | TCGA | biomaterial supply resource, material resource | Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future). | genome, genome sequencing, breast, central nervous system, endocrine, gastrointestinal, gynecologic, head, neck, hematologic, skin, soft tissue, thoracic, urologic, clinical, genomic characterization, analysis, tumor genome, demographic, gene expression, copy number alteration, epigenetic, dna sequence, exome, snp, methylation, mrna, mirna, FASEB list |
is used by: Mutation Annotation and Genomic Interpretation is used by: BioXpress is used by: cancerRxTissue is listed by: One Mind Biospecimen Bank Listing is related to: Cancer3D is related to: Cancer Research Data Commons is related to: CancerMIRNome is related to: Broad Institute Genomics Platform has parent organization: National Cancer Institute works with: FireBrowse |
Cancer, Tumor, Normal, Breast cancer, Central Nervous System cancer, Endocrine cancer, Gastrointestinal cancer, Gynecologic cancer, Head cancer, Neck cancer, Hematologic cancer, Skin cancer, Soft tissue cancer, Thoracic cancer, Urologic cancer | NCI 261200800001E-12-0-1 | nlx_156913 | SCR_003193 | Cancer Genome Atlas | 2026-09-19 12:57:46 | 7443 | ||||||
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Peroxisome Database Resource Report Resource Website 10+ mentions |
Peroxisome Database (RRID:SCR_008352) | data or information resource, database | The aim of the PEROXISOME database (PeroxisomeDB) is to gather, organize and integrate curated information on peroxisomal genes, their encoded proteins, their molecular function and metabolic pathway they belong to, and their related disorders. PeroxisomeDB contains the complete peroxisomal proteome of Homo sapiens (encoded by 85 genes) and Saccharomyces cerevisiae (encoded by 61 genes). Now, we have included 34 new organism genomes with the acquisition of 2426 new peroxisomal homolog proteins. PeroxisomeDB 2.0 integrates the peroxisomal metabolome of whole microbody family by the new incorporation of the glycosome proteomes of trypanosomatids and the glyoxysome proteome of Arabidopsis thaliana. The site also provides a Peroxisome Metabolome of peroxisomal genes and proteins, their molecular interactions and metabolic pathways, tools for comparative genomics, predictive tools. Sponsors: Preoxisome Database is funded by Institut de Gntique et deBiologie Molculaire et Cellulaire. | family, function, gene, arabidopsis thaliana, disorder, genome, genomic, glycosome, glyoxysome, homolog, homo sapiens, interaction, metabolic, metabolome, microbody, molecular, organism, pathway, peroxisome, protein, proteome, saccharomyces cerevisiae, trypanosomatid | nif-0000-25216 | SCR_008352 | Preoxisomedb | 2026-09-19 12:57:17 | 31 | ||||||||||
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Structure modeling of 907 G protein coupled receptors in the human genome Resource Report Resource Website 1+ mentions |
Structure modeling of 907 G protein coupled receptors in the human genome (RRID:SCR_008351) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 19,2019.Database of tertiary structural modeling results of threading assembly refinement (TASSER) method for all 907 G protein-coupled receptors (GPCRs) in human genome. All sequences were collected from GPCR database http://www.gpcr.org/7tm/ and http://www.expasy.org/cgi-bin/lists?7tmrlist.txt. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. G protein-coupled receptors (GPCRs), encoded by about 5% of human genes, comprise the largest family of integral membrane proteins and act as cell surface receptors responsible for the transduction of endogenous signal into a cellular response. Although tertiary structural information is crucial for function annotation and drug design, there are few experimentally determined GPCR structures. To address this issue, we employ the recently developed threading assembly refinement (TASSER) method to generate structure predictions for all 907 putative GPCRs in the human genome. Unlike traditional homology modeling approaches, TASSER modeling does not require solved homologous template structures; moreover, it often refines the structures closer to native. These features are essential for the comprehensive modeling of all human GPCRs when close homologous templates are absent. Based on a benchmarked confidence score, approximately 820 predicted models should have the correct folds. The majority of GPCR models share the characteristic seven-transmembrane helix topology, but 45 ORFs are predicted to have different structures. This is due to GPCR fragments that are predominantly from extracellular or intracellular domains as well as database annotation errors. Our preliminary validation includes the automated modeling of bovine rhodopsin, the only solved GPCR in the Protein Data Bank. With homologous templates excluded, the final model built by TASSER has a global C(alpha) root-mean-squared deviation from native of 4.6 angstroms, with a root-mean-squared deviation in the transmembrane helix region of 2.1 angstroms. Models of several representative GPCRs are compared with mutagenesis and affinity labeling data, and consistent agreement is demonstrated. Structure clustering of the predicted models shows that GPCRs with similar structures tend to belong to a similar functional class even when their sequences are diverse. These results demonstrate the usefulness and robustness of the in silico models for GPCR functional analysis. Sponsors: GPCR is funded by the University at Buffalo, Buffalo, New York. | endogenous, extracellular, family, functional, gene, cellular, couple, genome, gpcr, g protein, helix, homology, human, membrane, model, modeling, orf, protein, receptor, response, signal, structural, structural model, structure, template, tertiary, topology, transduction, transmembrane | has parent organization: Georgia Institute of Technology; Georgia; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25215 | SCR_008351 | GPCR | 2026-09-19 12:57:17 | 3 | ||||||||
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Metagenomics Program at JGI Resource Report Resource Website 1+ mentions |
Metagenomics Program at JGI (RRID:SCR_008804) | JGI Metagenomics Program | data or information resource, database | Portal providing access to metagenomics projects, data and tools supported by the DOE Joint Genome Institute (JGI). A primary motivation for metagenomics is that most microbes found in nature exist in complex, interdependent communities and cannot readily be grown in isolation in the laboratory. One can, however, isolate DNA or RNA from the community as a whole, and studies of such communities have revealed a diversity of microbes far beyond those found in culture collections. It is suspected that these uncultivated organisms must harbor considerable as-yet undiscovered genomic, functional, and metabolic features and capabilities. Thus to fully explore microbial genomics, it is imperative that we access the genomes of these elusive players. | genome, comparative analysis, metagenome, microbial, environment, terrestrial, aquatic, marine, freshwater, engineered, thermal spring, soil, host-associated, sequence, gene |
is listed by: 3DVC has parent organization: DOE Joint Genome Institute |
DOE | nlx_144368 | SCR_008804 | 2026-09-19 12:57:19 | 1 | ||||||||
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Ensembl Fungi Resource Report Resource Website 100+ mentions |
Ensembl Fungi (RRID:SCR_008681) | data or information resource, database | The Ensembl Genomes project produces genome databases for important species from across the taxonomic range, using the Ensembl software system. Five sites are now available, one of which is Ensembl Fungi, which houses fungal species. Sponsors: EnsembFungi is a project run by EMBL - EBI to maintain annotation on selected genomes, based on the software developed in the Ensembl project developed jointly by the EBI and the Wellcome Trust Sanger Institute. | fungus, database, genome, software, specie, taxonomic, FASEB list | has parent organization: Ensembl | nif-0000-33718, r3d100011196 | https://doi.org/10.17616/R3RK74, https://doi.org/10.17616/R3RK74 | SCR_008681 | EnsemblFungi | 2026-09-19 12:57:19 | 261 | ||||||||
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Ensembl Plants Resource Report Resource Website 1000+ mentions |
Ensembl Plants (RRID:SCR_008680) | data or information resource, database | Ensembl Genomes project produces genome databases for important species from across the taxonomic range, using the Ensembl software system. Five sites are now available, one of which is Ensembl Plants, which houses plant species. Sponsors: EnsembPlants is a project run by EMBL - EBI to maintain annotation on selected genomes, based on the software developed in the Ensembl project developed jointly by the EBI and the Wellcome Trust Sanger Institute. | database, genome, plant, software, specie, taxonomic, FASEB list | has parent organization: Ensembl | Free, Freely available, | nif-0000-33715, r3d100011199 | https://doi.org/10.17616/R3CD1Q | SCR_008680 | EnsemblPlants | 2026-09-19 12:57:19 | 2191 | |||||||
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Ensembl Bacteria Resource Report Resource Website 50+ mentions |
Ensembl Bacteria (RRID:SCR_008679) | data or information resource, database | The Ensembl Genomes project produces genome databases for important species from across the taxonomic range, using the Ensembl software system. Five sites are now available, one of which is Ensembl Bacteria, which houses bacterial species. All bacterial collections in Ensembl Bacteria have been updated with the latest data from ENA and UniProtKB. New genomes have been added to Escherichia/Shigella (3 additional genomes) and Staphylococcus (3 additional genomes). The mapping of array probes has been expanded to all genomes in the Escherichia/Shigella and Staphylococcus collections. Ensembl Bacteria also now features improved interfaces for selecting regions of circular molecules a new visualisation allowing the large scale comparison of multiple genomes. In multi-synteny view, users can select multiple genomes and observe the syntenic relationships between them. Sponsors: EnsembBacteria is a project run by EMBL - EBI to maintain annotation on selected genomes, based on the software developed in the Ensembl project developed jointly by the EBI and the Wellcome Trust Sanger Institute. | escherichia, array, bacterial, bacterium, circular, database, genome, mapping, molecule, proble, shigella, software, specie, staphyococcus, taxonomic, visualization, FASEB list | has parent organization: Ensembl | r3d100011195, nif-0000-33711 | https://doi.org/10.17616/R3WD1C, https://doi.org/10.17616/R3WD1C | SCR_008679 | EnsemblBacteria | 2026-09-19 12:57:19 | 91 | ||||||||
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Isofinder: Isochore Computational Prediction Resource Report Resource Website |
Isofinder: Isochore Computational Prediction (RRID:SCR_008342) | analysis service resource, data analysis service, production service resource, service resource | Isofinder is an algorithm running on the web able to predict isochores at the sequence level. Isochores are long genome segments homogeneous in G+C. The algorithm works by moving a sliding pointer from left to right along the DNA sequence and computing the mean G+C values to the left and to the right of the pointer at each point. Additionally, the program checks whether this significance exceeds a probability threshold. If so, the sequence is cut at this point into two subsequences; otherwise, the sequence remains undivided. The procedure continues recursively for each of the two resulting subsequences created by each cut. This leads to the decomposition of a chromosome sequence into long homogeneous genome regions (LHGRs) with well-defined mean G+C contents, each significantly different from the G+C contents of the adjacent LHGRs. Most LHGRs can be identified with Bernardi''s isochores, given their correlation with biological features such as gene density, SINE and LINE (short, long interspersed repetitive elements) densities, recombination rate or single nucleotide polymorphism variability. The resulting isochore maps are available at http://bioinfo2.ugr.es/isochores/, and also at the UCSC Genome Browser (http://genome.cse.ucsc.edu/). Sponsors: Isofinder is funded by Universidad de Granada, Spain. | algorithm, chromosome, dna, genome, heterogeneous, homogeneous, isochore, segment, sequence, single nucleotide polymorphism, snp, statistic | has parent organization: University of Granada; Granada; Spain | nif-0000-25208 | SCR_008342 | Isofinder | 2026-09-19 12:57:17 | 0 | |||||||||
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Brain and Body Genetic Resource Exchange Resource Report Resource Website 1+ mentions |
Brain and Body Genetic Resource Exchange (RRID:SCR_008959) | BB-GRE | data or information resource, database | A database and associated tools for investigating the genetic basis of neurodisability. It combines phenotype information from patients with neurodevelopmental and behavioral problems with clinical genetic data, and displays this information on the human genome map. Basic access to genetic information (deletions, duplications) relating to participants with neurodevelopmental disorders is provided without an account; access to the full dataset requires an account. The genetic information that is available to view comprises potentially pathogenic copy number variation across the genome, detected by array comparative genome hybridization (aCGH) using a customized 44K oligonucleotide array. | developmental disorder, copy number, neurodevelopmental disorder, child, phenotype, genotype-phenotype, brain, genetic, gene, genotype, behavior, clinical, genome, neurodevelopment, behavioral disorder, genetic variant, development | has parent organization: King's College London; London; United Kingdom | Schizophrenia, Mental retardation, Attention deficit hyperactivity disorder, Developmental language delay, Dyslexia, Sleep disorder, Epilepsy, Dysmorphism, Neurodisability, Autism | Acknowledgement required | nlx_151987 | http://bbgre-dev.iop.kcl.ac.uk/info/about-us | SCR_008959 | BBGRE.org, Brain & Body Genetic Resource Exchange, BB-GRE database | 2026-09-19 12:57:20 | 1 | |||||
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GFINDer: Genome Function INtegrated Discoverer Resource Report Resource Website 1+ mentions |
GFINDer: Genome Function INtegrated Discoverer (RRID:SCR_008868) | GFINDer | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 16, 2019. Multi-database system providing large-scale lists of user-classified sequence identifiers with genome-scale biological information and functional profiles biologically characterizing the different gene classes in the list. GFINDer automatically retrieves updated annotations of several functional categories from different sources, identifies the categories enriched in each class of a user-classified gene list, and calculates statistical significance values for each category. Moreover, GFINDer enables to functionally classify genes according to mined functional categories and to statistically analyze the obtained classifications, aiding in better interpreting microarray experiment results. | annotation, statistical analysis, mining, genome, function, sequence, functional profile, gene, microarray, 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: Polytechnic University of Milan; Milan; Italy |
PMID:15980570 PMID:15215397 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149256, biotools:gfinder | https://www.hsls.pitt.edu/obrc/index.php?page=URL1098209538, https://bio.tools/gfinder | SCR_008868 | Genome Function INtegrated Discoverer, Genome Function INtegrated Discoverer (GFINDer) | 2026-09-19 12:57:19 | 1 | |||||
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Resource for Genetic Epidemiology Research on Adult Health and Aging Resource Report Resource Website 1+ mentions |
Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) | GERA | data or information resource, database | Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated. | genotype, phenotype, genome-wide association study, saliva, dna, male, female, health condition, electronic medical record, single nucleotide polymorphism, adult human, late adult human, gene, genome |
has parent organization: NCBI database of Genotypes and Phenotypes (dbGap) has parent organization: University of California at San Francisco; California; USA |
Aging, Cardiovascular disease, Osteoarthritis, Depressive Disorder, Insomnia, Eye disease, Cancer, Diabetes | NIMH ; NIH Office of the Director ; NIA AG036607 |
Application required, Non-commercial, Data Use Certification Agreement | nlx_157735 | SCR_010472 | Genetic Epidemiology Research on Aging | 2026-09-19 12:57:21 | 9 | |||||
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Genomicus Resource Report Resource Website 50+ mentions |
Genomicus (RRID:SCR_011791) | Genomicus | data or information resource, database | A genome browser that enables users to navigate in genomes in several dimensions: linearly along chromosome axes, transversaly across different species, and chronologicaly along evolutionary time. | genome, gene, synteny, browser, FASEB list | is listed by: OMICtools | PMID:23193262 | OMICS_00914 | SCR_011791 | 2026-09-19 12:57:25 | 57 | ||||||||
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Mouse Genome Database Resource Report Resource Website 500+ mentions |
Mouse Genome Database (RRID:SCR_012953) | MGD | data or information resource, database | Community model organism database for laboratory mouse and authoritative source for phenotype and functional annotations of mouse genes. MGD includes complete catalog of mouse genes and genome features with integrated access to genetic, genomic and phenotypic information, all serving to further the use of the mouse as a model system for studying human biology and disease. MGD is a major component of the Mouse Genome Informatics.Contains standardized descriptions of mouse phenotypes, associations between mouse models and human genetic diseases, extensive integration of DNA and protein sequence data, normalized representation of genome and genome variant information. Data are obtained and integrated via manual curation of the biomedical literature, direct contributions from individual investigators and downloads from major informatics resource centers. MGD collaborates with the bioinformatics community on the development and use of biomedical ontologies such as the Gene Ontology (GO) and the Mammalian Phenotype (MP) Ontology. | gene, genome, genetic, chromosome, clone, cytogenetic, dna, genomic, inbred, mammalian, mouse, mutant, ortholog, phenotype, primer, protein, reagent, sequence, strain, bio.tools |
is used by: DisGeNET is listed by: Debian is listed by: bio.tools is related to: Mouse Genome Informatics (MGI) has parent organization: Jackson Laboratory |
NHGRI HG000330 | PMID:21051359 | biotools:mgi, biotools:mgd, nif-0000-10301 | http://www.informatics.jax.org/mgihome/projects/overview.shtml, https://bio.tools/mgd, https://bio.tools/mgi | SCR_012953 | Mouse Genome Informatics: Mouse Genome Database, MGID, Mouse Genome Informatics Database | 2026-09-19 12:57:27 | 545 | |||||
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HOMD Resource Report Resource Website 100+ mentions |
HOMD (RRID:SCR_012770) | HOMD | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE.Documented on April 14,2022. Database of comprehensive information on the approximately 600 prokaryote species that are present in the human oral cavity. The majority of these species are uncultivated and unnamed, recognized primarily by their 16S rRNA sequences. The HOMD presents a provisional naming scheme for the currently unnamed species so that strain, clone, and probe data from any laboratory can be directly linked to a stably named reference entity. The HOMD links sequence data with phenotypic, phylogenetic, clinical, and bibliographic information. Full and partial oral bacterial genome sequences determined as part of this project and the Human Microbiome Project, are being added to the HOMD as they become available. HOMD offers easy to use tools for viewing all publicly available oral bacterial genomes. Data is also downloadable. | taxon, genome, 16s rna, sequence, actinobacteria, bacteroidetes, chlamydiae, chloroflexi, euryarchaeota, firmicutes, fusobacteria, proteobacteria, spirochaetes, sr1, synergistetes, tenericutes, tm7, nomenclature, naming scheme, human, FASEB list | has parent organization: Forsyth Institute | NIDCR ; ARRA ; DOE contract U01 DE016937; DOE DE016937; DOE DE015847; DOE DE017106 |
PMID:20624719 PMID:20656903 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_22198, r3d100012898 | SCR_012770 | Human Oral Microbiome Database | 2026-09-19 12:57:27 | 137 | |||||
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Ensembl Protists Resource Report Resource Website 10+ mentions |
Ensembl Protists (RRID:SCR_013154) | data or information resource, database | The Ensembl Genomes project produces genome databases for important species from across the taxonomic range, using the Ensembl software system. Five sites are now available, one of which is Ensembl Protists, which houses protists species. Sponsors: EnsembProtists is a project run by EMBL - EBI to maintain annotation on selected genomes, based on the software developed in the Ensembl project developed jointly by the EBI and the Wellcome Trust Sanger Institute. | database, genome, protist, software, specie, taxonomic | has parent organization: Ensembl | r3d100011200, nif-0000-33712 | SCR_013154 | EnsemblProtists | 2026-09-19 12:57:28 | 48 | |||||||||
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GiardiaDB Resource Report Resource Website 100+ mentions |
GiardiaDB (RRID:SCR_013377) | data or information resource, database | GiardiaDB is a resource for information on Giardia lamblia. It contains gene information, including genomic attributes, protein expression patterns, evolution, and EST sequence information. The website provides tools for BLASTing, sequence retrieval, graphic visualization, and PubMed information. | genome, giardia lamblia, protein expression, FASEB list | nif-0000-02908, r3d100012458 | SCR_013377 | GiardiaDB | 2026-09-19 12:57:30 | 108 | ||||||||||
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Cube-DB Resource Report Resource Website 1+ mentions |
Cube-DB (RRID:SCR_013233) | Cube-DB | data or information resource, database | Cube-DB is a database of pre-evaluated conservation and specialization scores for residues in paralogous proteins belonging to multi-member families of human proteins. Protein family classification follows (largely) the classification suggested by HUGO Gene Nomenclature Committee. Sets of orhtologous protein sequences were generated by mutual-best-hit strategy using full vertebrate genomes available in Ensembl. The scores, described on documentation page, are assigned to each individual residue in a protein, and presented in the form of a table (html or downloadable xls formats) and mapped, when appropriate, onto the related structure (Jmol, Pymol, Chimera). | protein, functional divergence, vertebrate, genome, ortholog, protein sequence, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Bioinformatics Institute; Singapore; Singapore |
PMID:22139934 | nlx_149432, biotools:cube-db | https://bio.tools/cube-db | SCR_013233 | Cube-DB: Detection of Functional Divergence in Human Protein Families | 2026-09-19 12:57:29 | 3 | ||||||
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Planteome Resource Report Resource Website 10+ mentions |
Planteome (RRID:SCR_014411) | data or information resource, database | An international collaborative effort to develop and enrich new and existing reference ontologies for plants, improve ontology use and cross-references, and to develop data annotation standards. Users can search for ontology terms and bioentities and submit the ontology-related term requests by visiting the following GitHub request trackers. | database, ontology, plant, genome | NSF IOS:1340112 | Available to the research community, Only registered users of the GitHub website are allowed to submit requests and make suggestions or comments | SCR_014411 | 2026-09-19 12:57:33 | 28 | ||||||||||
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Baylor College of Medicine Human Genome Sequencing Center Resource Report Resource Website 50+ mentions |
Baylor College of Medicine Human Genome Sequencing Center (RRID:SCR_013605) | BCM-HGSC | analysis service resource, production service resource, service resource | Center for high-throughput DNA sequence generation and the accompanying analysis. The sequence data generated by the center's machines are analyzed in a complex bioinformatics pipeline, and the data are deposited regularly in the public databases at the National Center for Biotechnology Information (NCBI). | next-generation sequencing, genetic variation, genome, dna sequence, FASEB list |
has parent organization: Baylor University; Texas; USA is parent organization of: Mercury is parent organization of: xAtlas |
NIH Office of the Director R24 OD011173 | nif-0000-10162 | SCR_013605 | Human Genome Sequencing Center, BCM HGSC | 2026-09-19 12:57:32 | 65 |
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