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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Anopheles gambiae (African malaria mosquito) genome view Resource Report Resource Website |
Anopheles gambiae (African malaria mosquito) genome view (RRID:SCR_004402) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. A database for the Anopheles gambiae str. PEST genome that was sequenced using a whole genome shotgun approach. The database aims to contribute to the understanding of mosquito genome structure and organization and will assist the development of malaria control strategies and improved anti-malarial drugs and vaccines. Sequences were generated and assembled into contigs for submission to GenBank. | genome, blast, genome assembly, mosquito, sequence, malaria, contig |
is related to: GenBank has parent organization: NCBI |
Malaria | National Institute of Allergy and Infectious Diseases | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_41106 | SCR_004402 | African malaria mosquito genome view, Anopheles gambiae genome view | 2026-02-11 10:56:56 | 0 | ||||||
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SwissRegulon Resource Report Resource Website 10+ mentions |
SwissRegulon (RRID:SCR_005333) | SwissRegulon | data or information resource, database | A database of genome-wide annotations of regulatory sites. The predictions are based on Bayesian probabilistic analysis of a combination of input information including: * Experimentally determined binding sites reported in the literature. * Known sequence-specificities of transcription factors. * ChIP-chip and ChIP-seq data. * Alignments of orthologous non-coding regions. Predictions were made using the PhyloGibbs, MotEvo, IRUS and ISMARA algorithms developed in their group, depending on the data available for each organism. Annotations can be viewed in a Gbrowse genome browser and can also be downloaded in flat file format. | genome, binding site, transcription factor, genome-wide annotation, annotation, chip-chip, chip-seq, non-coding region, promoter, motif, transcript, regulatory motif, genome browser, FASEB list |
is listed by: OMICtools has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:23180783 PMID:17130146 |
Acknowledgement requested | nif-0000-03524, OMICS_00543 | SCR_005333 | SwissRegulon Database | 2026-02-11 10:57:04 | 44 | ||||||
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Non-Human Genome Segmental Duplication Database Resource Report Resource Website 1+ mentions |
Non-Human Genome Segmental Duplication Database (RRID:SCR_000470) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It contains information about segmental duplications in the genomes of chimpanzee, mouse, and rat. The criteria used to identify regions of segmental duplication are: * Sequence identity of at least 90% * Sequence length of at least 5 kb * Not be entirely composed of repetitive elements. BACKGROUND: The high quality of the mouse genome draft sequence and its associated annotations are an invaluable biological resource. Identifying recent duplications in the mouse genome, especially in regions containing genes, may highlight important events in recent murine evolution. In addition, detecting recent sequence duplications can reveal potentially problematic regions of the genome assembly. We use BLAST-based computational heuristics to identify large (>/= 5 kb) and recent (>/= 90% sequence identity) segmental duplications in the mouse genome sequence. Here we present a database of recently duplicated regions of the mouse genome found in the mouse genome sequencing consortium (MGSC) February 2002 and February 2003 assemblies. RESULTS: We determined that 33.6 Mb of 2,695 Mb (1.2%) of sequence from the February 2003 mouse genome sequence assembly is involved in recent segmental duplications, which is less than that observed in the human genome (around 3.5-5%). From this dataset, 8.9 Mb (26%) of the duplication content consisted of "unmapped" chromosome sequence. Moreover, we suspect that an additional 18.5 Mb of sequence is involved in duplication artifacts arising from sequence misassignment errors in this genome assembly. By searching for genes that are located within these regions, we identified 675 genes that mapped to duplicated regions of the mouse genome. Sixteen of these genes appear to have been duplicated independently in the human genome. From our dataset we further characterized a 42 kb recent segmental duplication of Mater, a maternal-effect gene essential for embryogenesis in mice. CONCLUSION: Our results provide an initial analysis of the recently duplicated sequence and gene content of the mouse genome. Many of these duplicated loci, as well as regions identified to be involved in potential sequence misassignment errors, will require further mapping and sequencing to achieve accuracy. A Genome Browser database was set up to display the identified duplication content presented in this work. This data will also be relevant to the growing number of investigators who use the draft genome sequence for experimental design and analysis. The segmental duplication data and summary statistics are available for download and can also be visualized in a genome browser in the GBrowse section. Selected annotation tracks (except the segmental duplication track) have also been obtained from UCSC and loaded into the genome browser. Detailed information (e.g. overlapping genes, overlapping clones, detailed alignment) can be obtained by clicking on a duplication cluster in GBrowse. Both keyword search and BLAT search are available. Analyses based on previous genome assemblies can be found in the Previous Analyses section. Recent Developments The Non-Human Genome Segmental Duplication Database is continually updated including the archived copies of the analysis of all previous genome assemblies and will include all new species as they become available. Acknowledgments We thank The Centre for Applied Genomics at the Hospital for Sick Children (HSC) as well as collaborators worldwide. Supported by Genome Canada the Howard Hughes Medical Institute International Scholar Program (to S.W.S.) and the HSC Foundation. | genes, genome, chicken, chimpanzee, chromosome, dna, dog, mouse, rat, segmental duplications | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03194 | SCR_000470 | Non-Human Genome Segmental Duplication Database | 2026-02-11 10:56:03 | 1 | |||||||||
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Bovine Genome Database Resource Report Resource Website 10+ mentions |
Bovine Genome Database (RRID:SCR_000148) | BGD | data or information resource, database | Database and integrated tools to improve annotation of the bovine genome and to integrate the genome sequence with other genomics data. | genome browser, genome |
is listed by: OMICtools has parent organization: University of Missouri; Missouri; USA |
USDA National Institute of Food and Agriculture 2007-35616-17882; USDA National Institute of Food and Agriculture 2010-65205-20407 |
PMID:21123190 PMID:21092105 |
Acknowledgement requested | OMICS_04529 | SCR_000148 | The Bovine Genome Database, BovineGenome.org | 2026-02-11 10:55:59 | 15 | |||||
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GeneWiz browser Resource Report Resource Website 1+ mentions |
GeneWiz browser (RRID:SCR_001454) | service resource, production service resource, analysis service resource | An interactive web application for visualizing genomic data of sequenced prokaryotic chromosomes. It allows users to carry out various analyses such as mapping alignments of homologous genes to other genomes, mapping of short sequencing reads to a reference chromosome, and calculating DNA properties such as curvature or stacking energy along the chromosome. The GeneWiz browser produces an interactive graphic that enables zooming from a global scale down to single nucleotides, without changing the size of the plot. Its ability to disproportionally zoom provides optimal readability and increased functionality compared to other browsers. The tool allows the user to select the display of various genomic features, color setting and data ranges. Custom numerical data can be added to the plot allowing, for example, visualization of gene expression and regulation data. Further, standard atlases are pre-generated for all prokaryotic genomes available in GenBank, providing a fast overview of all available genomes, including recently deposited genome sequences. | genome, chromosome, alignment, homologous gene, mapping, short sequencing reads, reference chromosome | has parent organization: Technical University of Denmark; Lyngby; Denmark | PMID:21304658 | Free, Freely Available | nif-0000-08429 | SCR_001454 | 2026-02-11 10:56:14 | 6 | ||||||||
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GTEx eQTL Browser Resource Report Resource Website 100+ mentions |
GTEx eQTL Browser (RRID:SCR_001618) | data or information resource, database | Database and browser that provides a central resource to archive and display association between genetic variation and high-throughput molecular-level phenotypes. This effort originated with the NIH GTEx roadmap project: however the scope of this resource will be extended to include any available genotype/molecular phenotype datasets. | genetic variation, high-throughput, phenotype, genotype, molecular, molecule, gene, gene expression, snp, trait, expression, quantitative trait locus, expression quantitative trait locus, genome, probe, sequence, statistics, p-value, rna-seq, array, lymphoblastoid, liver, cerebellum, frontal cortex, temporal cortex, pons, gene regulation, tissue, mrna, data set | has parent organization: NCBI | NIH Common Fund 268201000029C-4-0-2 | Free, Freely available | nlx_153884 | http://www.gtexportal.org/home/ | SCR_001618 | NCBI GTEx eQTL Browser, Genotype-Tissue Expression eQTL Browser, GTEx (Genotype-Tissue Expression) eQTL Browser, NCBI GTeX eQTL Browser | 2026-02-11 10:56:16 | 111 | ||||||
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Bgee: dataBase for Gene Expression Evolution Resource Report Resource Website 50+ mentions |
Bgee: dataBase for Gene Expression Evolution (RRID:SCR_002028) | Bgee | data or information resource, database | Database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently bulk RNA-Seq, scRNA-Seq, Affymetrix, in situ hybridization, and EST data) to anatomy and development of different species. Bgee is based exclusively on curated healthy wild-type expression data (e.g., no gene knock-out, no treatment, no disease), to provide a comparable reference of gene expression. | gene expression, scrna-seq, rna-seq, affymetrix, in situ hybridization, expressed sequence tag, cross specie, comparison, homology, anatomy, developmental stage, gene expression pattern, development, genome, function, chordate, fish, transcriptiome, embryo, adult, mirna, protein coding, prenatal, immature, post-embryonic development, alimentary system, cardiovascular system, nervous system, renal system, reproductive system, respiratory system, skeletal system, ortholog, ontology, FASEB list |
is related to: Gene Expression Omnibus is related to: NCBI Sequence Read Archive (SRA) is related to: ArrayExpress is related to: Zebrafish Information Network (ZFIN) is related to: Xenbase is related to: Mouse Genome Informatics (MGI) is related to: Berkeley Drosophila Genome Project is related to: UniGene is related to: Zebrafish Anatomical Ontology is related to: eVOC is related to: Adult Mouse Anatomy Ontology is related to: Xenopus Anatomy Ontology is related to: Drosophila anatomy and development ontologies is related to: Ensembl has parent organization: SIB Swiss Institute of Bioinformatics has parent organization: University of Lausanne; Lausanne; Switzerland |
Free, Freely available | nif-0000-11819, r3d100014596 | https://doi.org/10.17616/R31NJNR8 | SCR_002028 | Bgee: dataBase Gene Expression Evolution, dataBase Gene Expression Evolution | 2026-02-11 10:56:22 | 54 | ||||||
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Primate Orthologous Exon Database Resource Report Resource Website 1+ mentions |
Primate Orthologous Exon Database (RRID:SCR_002065) | Primate Orthologous Exon Database | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database of orthologous exon regions in the genomes of human, chimpanzee, and rhesus macaque. It can be used in analysis of multi-species RNA-seq expression data, allowing for comparisons of exon-level expression across primates, as well as comparative examination of alternative splicing and transcript isoforms. | alternative splicing, transcript isoform, ortholog, exon, gene, rna-seq, primate, genome |
is listed by: OMICtools has parent organization: University of Chicago; Illinois; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01895 | SCR_002065 | 2026-02-11 10:56:22 | 1 | ||||||||
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Neurospora crassa Database Resource Report Resource Website 1+ mentions |
Neurospora crassa Database (RRID:SCR_001372) | NCD | data or information resource, database | It's strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated and reassembled. This method is standard for microbial genome sequencing, and has been successfully applied to Drosophila. Neurospora is an ideal candidate for this approach because of the low repeat content of the genome. Neurospora crassa Database has expanded the scope of its database by including a mitochondrial annotation, incorporating information from the Neurospora compendium, and assigning NCU numbers to tRNA and rRNAs. They have improved the annotation process to predict untranslated regions and to reduce the number of spurious predictions. As a result, version 3 contains 9,826 genes, 794 fewer than version 2. During the initial phase of a WGS project they sequence both ends of the 4 kb inserts from a plasmid library prepared using randomly sheared and sized-selected DNA. The shotgun reads are assembled by recognizing overlapping regions of sequence and making use of the knowledge of the orientation and distance of the paired reads from each plasmid. Obtaining deep sequence coverage though high levels of sequence redundancy assures that the majority of the genome is represented in the initial assembly and that the consensus sequence is of high quality. Their approach toward the initial assembly was conservative, meaning they would rather fail to join sequence contigs that might overlap each other than risk making false joins between two closely related but non-overlapping genomic regions. Hence, the initial assembly contains many sequence contigs and over time these contigs will increase in size and decrease in number as they are joined together. After shotgun sequencing and assembly there was a second phase of sequencing in which additional sequence was obtained from specific regions that were missing from the original assembly or are recognized to be of low quality in the consensus. The Neurospora crassa sequencing project reflects a close collaboration between the Broad Institute and the Neurospora research community. Principal investigators include Bruce Birren and Chad Nusbaum from the Broad Institute, Matt Sachs at the Oregon Graduate Institute of Science and Technology, Chuck Staben at the University of Kentucky and Jak Kinsey at the Fungal Genetics Stock Center at the University of Kansas Medical Center. In addition, we have a larger Advisory Board made up of a number of Neurospora researchers. Sponsors: They have been funded by the National Science Foundation to sequence the N. crassa genome and make the information publicly available. | gene, annotation, compendium, contig, distance, drosophila, genome, mitochondrial, neurospora crassa, plasmid, region, rrna, sequence, trna, untranslated | Free, Freely available, | nif-0000-20965 | http://www.broadinstitute.org/annotation/genome/neurospora/Home.html | SCR_001372 | Neurospora crassa Database | 2026-02-11 10:56:13 | 4 | |||||||
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NIH Rat Genomics and Genetics Resource Report Resource Website |
NIH Rat Genomics and Genetics (RRID:SCR_002267) | data or information resource, database | The Rat Genome Program was launched after the National Institutes of Health (NIH) realized the potential of rat models in understanding basic biology and human health and disease. The purpose of this NIH Rat Genomics and Genetics web site is to serve as a central point for information on NIH sponsored and related rat genetic and genomic activities and resources. It will provide information on: the follow up to recommendations made to the NIH; funding opportunities for rat genomic and genetic tools and resources; major rat genomic resources available and/or produced in response to the NIH Rat Program; courses and meetings related to rat genomics and genetics; and selected reports and publications. These programs have produced a wide variety of resources and a way to link and capitalize upon the data and resources of other model organisms and the human. In conjunction with and in addition to these programs, the NIH, through the RGWG, has convened advisory groups and workshops to discuss the opportunities that rat models offer and provide recommendations on the investments that are needed to capitalize on these opportunities. | biology, disease, genome, human health, model, rat | nif-0000-20991 | SCR_002267 | RGS | 2026-02-11 10:56:29 | 0 | ||||||||||
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COSMIC - Catalogue Of Somatic Mutations In Cancer Resource Report Resource Website 1000+ mentions |
COSMIC - Catalogue Of Somatic Mutations In Cancer (RRID:SCR_002260) | COSMIC | data or information resource, database |
Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats. Some key features of COSMIC are: * Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types. * Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines. |
cancer, mutation, somatic mutation, tumor, cancer genome, genome, gene, dna, tissue, histology, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Cancer | Wellcome Trust 077012/Z/05/Z | PMID:20952405 | Free | nif-0000-02690, biotools:cosmic, OMICS_00082 | http://www.sanger.ac.uk/perl/CGP/cosmic https://bio.tools/cosmic |
SCR_002260 | Catalogue Of Somatic Mutations In Cancer | 2026-02-11 10:56:26 | 4486 | |||
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ProTISA Resource Report Resource Website 1+ mentions |
ProTISA (RRID:SCR_002138) | ProTISA | data or information resource, database | Database of confirmed translation initiation sites (TISs) for prokaryotic genomes. The confirmed data has supporting evidence from different sources, including experiments records in the public protein database Swiss-Prot, literature, conserved domain search and sequence alignment among orthologous genes. Combing with predictions from the-state-of-the-art TIS predictor MED-Start/MED-StartPlus (in release 1.0 & 1.2) and TriTISA (since release 1.4) and annotations on potential regulatory signals, the database can serve as a refined annotation resource for the public database RefSeq. | translation initiation site, annotation, genome |
is listed by: OMICtools has parent organization: Peking University; Beijing; China |
PMID:17942412 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01871 | SCR_002138 | 2026-02-11 10:56:23 | 1 | |||||||
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Human Proteomics Initiative Resource Report Resource Website |
Human Proteomics Initiative (RRID:SCR_002373) | HPI | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 03, 2011. IT HAS BEEN REPLACED BY A NEW UniProtKB/Swiss-Prot ANNOTATION PROGRAM CALLED UniProt Chordata protein annotation program. The Human Proteome Initiative (HPI) aims to annotate all known human protein sequences, as well as their orthologous sequences in other mammals, according to the quality standards of UniProtKB/Swiss-Prot. In addition to accurate sequences, we strive to provide, for each protein, a wealth of information that includes the description of its function, domain structure, subcellular location, similarities to other proteins, etc. Although as complete as currently possible, the human protein set they provide is still imperfect, it will have to be reviewed and updated with future research results. They will also create entries for newly discovered human proteins, increase the number of splice variants, explore the full range of post-translational modifications (PTMs) and continue to build a comprehensive view of protein variation in the human population. The availability of the human genome sequence has enabled the exploration and exploitation of the human genome and proteome to begin. Research has now focused on the annotation of the genome and in particular of the proteome. With expert annotation extracted from the literature by biologists as the foundation, it has been possible to expand into the areas of data mining and automatic annotation. With further development and integration of pattern recognition methods and the application of alignments clustering, proteome analysis can now be provided in a meaningful way. These various approaches have been integrated to attach, extract and combine as much relevant information as possible to the proteome. This resource should be valuable to users from both research and industry. We maintain a file containing all human UniProtKB/Swiss-Prot entries. This file is updated at every biweekly release of UniProt and can be downloaded by FTP download, HTTP download or by using a mirroring program which automatically retrieves the file at regular intervals. | function, gene, alignment, biologist, clustering, coding, development, genome, human, location, mammalian, modification, ortholog, population, post-translational, protein, proteome, proteomic, proteomics, sequence, splice, structure, subcellular, variant, variation, gold standard |
is related to: UniProt Chordata protein annotation program has parent organization: SIB Swiss Institute of Bioinformatics |
PMID:11301130 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21199 | SCR_002373 | Human Proteome Initiative, UniProtKB/Swiss-Prot Human Proteome Initiative | 2026-02-11 10:56:31 | 0 | ||||||
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Organelle Genomics Resource Report Resource Website 1+ mentions |
Organelle Genomics (RRID:SCR_002137) | OGMP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. It investigates mitochondrial genome diversity and evolution by systematically determining the complete mitochondrial DNA (mtDNA) sequences of a phylogenetically broad selection of protists. The mtDNAs of lower fungi and choanoflagellates are being analyzed by the Fungal Mitochondrial Genome Project (FMGP), a sister project to the OGMP. | genome, mitochondrial dna, mitochondrial genome, organelle | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20928, r3d100010926 | https://doi.org/10.17616/R3TG9G | SCR_002137 | Organelle Genome Megasequencing Program | 2026-02-11 10:56:23 | 1 | |||||||
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WebGeSTer DB Resource Report Resource Website 1+ mentions |
WebGeSTer DB (RRID:SCR_002165) | WebGeSTer DB | data or information resource, database | Database of intrinsic terminators of transcription that is comprized of >2,200,000 bacterial terminators identified from a total of 2036 chromosomes and 1508 plasmids. Information about structural parameters of individual terminators such as sequence, length of stem and loop, mismatches and gaps, U-trail, genomic coordinates and gene name and accession number is available in both tabular form and as a composite figure. Summary statistics for terminator profiles of whole genome can be also obtained. Raw data files for individual genomes can be downloaded (.zip files) for detailed investigations. Data is organized into different tiers such that users can fine-tune their search by entering name of the species, or taxon ID or genomes with a certain number of terminators. To visualize the occurrence of the terminators, an interactive map, with the resolution to single gene level, has been developed. | genome, terminator, transcription, plasmid, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:20972211 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:webgester_db, OMICS_01862 | https://bio.tools/webgester_db | SCR_002165 | WebGesTer Database, Web Genome Scannner for Terminators Database, WebGeSTer DB - A Transcription Terminator Database | 2026-02-11 10:56:24 | 5 | |||||
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Automatic Generated Test-Sets Database for Protein-Protein Docking Resource Report Resource Website |
Automatic Generated Test-Sets Database for Protein-Protein Docking (RRID:SCR_002281) | AGT-SDP | data or information resource, database | Database providing automatic test cases for protein-protein docking. A consensus-type approach is proposed processing the whole PDB and classifying protein structures into complexes and unbound proteins by combining information from three different approaches. Out of this classification test cases are generated automatically. All calculations were run on the database. The information stored is available via a web interface. The user can choose several criteria for generating his own subset out of the test cases, e.g. for testing docking algorithms. In unbound protein--protein docking, the complex of two proteins is predicted using the unbound conformations of the proteins (Halperin et al.,2002). For testing of docking algorithms, two unbound proteins which form a known complex have to be identified, so that the result of the docking algorithm can be compared to the known complex. For the identification of test cases, the structures taken from the PDB have to be classified as unbound proteins or complexes and unbound proteins with a 100% sequence identity to one complex part have to be searched. By now, most groups use handpicked test sets. The largest collection of test cases used so far is described by Chen et al. (Chen et al.,2003) and contains 31 test cases for unbound docking. Because of the exponential growth of available protein structures in the PDB, automatic generation of test cases will become more and more important in the future. | algorithm, alignment, classification, comparison, complex, conformation, design, docking, genome, primer, protein, rna, structure, unbound, protein domain, protein classification, protein-protein docking | has parent organization: Bielefeld University; North Rhine-Westphalia; Germany | DFG | PMID:15479711 | Acknowledgement requested, The community can contribute to this resource | nif-0000-21012 | SCR_002281 | 2026-02-11 10:56:25 | 0 | ||||||
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AceView Resource Report Resource Website 100+ mentions |
AceView (RRID:SCR_002277) | AceView/WormGenes | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions. | est, exon, expression, function, gene, alignment, arabidopsis, cdna, co-alignment, coding, disease, genome, genomic, human, intron, localization, mammal, mouse, mrna, nematode, pathway, phenotype, plant, polyadenylation, promoter, rat, sequence, signal, tissue, transcript, transcriptome, worm, blast, gold standard | has parent organization: NCBI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21007, r3d100010651 | https://doi.org/10.17616/R3260G | http://www.ncbi.nih.gov/IEB/Research/Acembly/ | SCR_002277 | AceView genes, AceView/WormGenes, The AceView Genes | 2026-02-11 10:56:29 | 186 | |||||
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RegPrecise Resource Report Resource Website 50+ mentions |
RegPrecise (RRID:SCR_002149) | RegPrecise | data or information resource, database | Collection of manually curated inferences of regulons in prokaryotic genomes. Database for capturing, visualization and analysis of transcription factor regulons that were reconstructed by comparative genomic approach in wide variety of prokaryotic genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | regulon, genome, transcription factor, gene, operon, transcription factor binding site, taxonomy, rna, effector, pathway, ortholog, function, FASEB list |
is listed by: OMICtools has parent organization: Lawrence Berkeley National Laboratory |
Department of Energy ; NSF DBI-0850546 |
PMID:24175918 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01869 | SCR_002149 | 2026-02-11 10:56:26 | 80 | ||||||
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Full-Malaria: Malaria Full-Length cDNA Database Resource Report Resource Website 1+ mentions |
Full-Malaria: Malaria Full-Length cDNA Database (RRID:SCR_002348) | data or information resource, database | FULL-malaria is a database for a full-length-enriched cDNA library from the human malaria parasite Plasmodium falciparum. Because of its medical importance, this organism is the first target for genome sequencing of a eukaryotic pathogen; the sequences of two of its 14 chromosomes have already been determined. However, for the full exploitation of this rapidly accumulating information, correct identification of the genes and study of their expression are essential. Using the oligo-capping method, this database has produced a full-length-enriched cDNA library from erythrocytic stage parasites and performed one-pass reading. The database consists of nucleotide sequences of 2490 random clones that include 390 (16%) known malaria genes according to BLASTN analysis of the nr-nt database in GenBank; these represent 98 genes, and the clones for 48 of these genes contain the complete protein-coding sequence (49%). On the other hand, comparisons with the complete chromosome 2 sequence revealed that 35 of 210 predicted genes are expressed, and in addition led to detection of three new gene candidates that were not previously known. In total, 19 of these 38 clones (50%) were full-length. From these observations, it is expected that the database contains approximately 1000 genes, including 500 full-length clones. It should be an invaluable resource for the development of vaccines and novel drugs. Full-malaria has been updated in at least three points. (i) 8934 sequences generated from the addition of new libraries added so that the database collection of 11,424 full-length cDNAs covers 1375 (25%) of the estimated number of the entire 5409 parasite genes. (ii) All of its full-length cDNAs and GenBank EST sequences were mapped to genomic sequences together with publicly available annotated genes and other predictions. This precisely determined the gene structures and positions of the transcriptional start sites, which are indispensable for the identification of the promoter regions. (iii) A total of 4257 cDNA sequences were newly generated from murine malaria parasites, Plasmodium yoelii yoelii. The genome/cDNA sequences were compared at both nucleotide and amino acid levels, with those of P.falciparum, and the sequence alignment for each gene is presented graphically. This part of the database serves as a versatile platform to elucidate the function(s) of malaria genes by a comparative genomic approach. It should also be noted that all of the cDNAs represented in this database are supported by physical cDNA clones, which are publicly and freely available, and should serve as indispensable resources to explore functional analyses of malaria genomes. Sponsors: This database has been constructed and maintained by a Grant-in-Aid for Publication of Scientific Research Results from the Japan Society for the Promotion of Science (JSPS). This work was also supported by a Special Coordination Funds for Promoting Science and Technology from the Science and Technology Agency of Japan (STA) and a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports and Culture of Japan. | drug, eukaryotic, expression, function, gene, alignment, amino acid, cdna, chromosome, clone, coding, comparative, genome, genomic, human, malaria, medical, nucleotide, oligo-capping, organism, parasite, pathogen, physical, plasmodium falciparum, promoter, protein, region, sequence, sequencing, unicellular eukaryote genome databases, vaccine | has parent organization: University of Tokyo; Tokyo; Japan | PMID:18987005 PMID:14681428 |
nif-0000-21157 | SCR_002348 | Full-Malaria | 2026-02-11 10:56:27 | 2 | ||||||||
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BiGG Database Resource Report Resource Website 100+ mentions |
BiGG Database (RRID:SCR_005809) | BiGG | data or information resource, database | A knowledgebase of Biochemically, Genetically and Genomically structured genome-scale metabolic network reconstructions. BiGG integrates several published genome-scale metabolic networks into one resource with standard nomenclature which allows components to be compared across different organisms. BiGG can be used to browse model content, visualize metabolic pathway maps, and export SBML files of the models for further analysis by external software packages. Users may follow links from BiGG to several external databases to obtain additional information on genes, proteins, reactions, metabolites and citations of interest. | biochemical, genetics, genomics, genome, metabolic network, reconstruction, model, metabolic pathway, gene, protein, reaction, metabolite, metabolic reconstruction, compound, pathway, FASEB list |
uses: SBML is used by: BiGGR is listed by: 3DVC has parent organization: University of California at San Diego; California; USA |
NIH ; Ruth L. Kirschstein National Research Service Award - NIH Bioinformatics Training ; University of California at San Diego; California; USA ; Calit2 summer research scholarship ; NIGMS GM00806-06 |
PMID:20426874 | nlx_149299, r3d100011567 | https://doi.org/10.17616/R3MG9M | SCR_005809 | BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions, BiGG - a Biochemical Genetic and Genomic knowledgebase | 2026-02-11 10:57:10 | 124 |
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