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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Alzheimer Disease and Frontotemporal Dementia Mutation Database Resource Report Resource Website 1+ mentions |
Alzheimer Disease and Frontotemporal Dementia Mutation Database (RRID:SCR_008286) | data or information resource, database | A locus-specific database aimed at collecting known mutations and non-pathogenic coding variations in the genes related to Alzheimer disease (AD) and frontotemporal dementia (FTD), following the guidelines of the Human Genome Variation Society. Mutations can be retrieved based on the gene, phenotype and publication. The database contains mutations reported in the literature and at scientific meetings, and unpublished mutations directly submitted to the database. To date, AD&FTDMDB contains mutations in the genes encoding the Amyloid Beta Precursor Protein (APP), Presenilin 1 (PSEN1), Presenilin 2 (PSEN2), Chromatin Modifying Protein 2B (CHMP2B), fusion (involved in t(12;16) in malignant liposarcoma) (FUS), Granulin (GRN), Microtubule Associated Protein Tau (MAPT), TAR DNA binding protein (TARDBP) and Valosin-containing Protein (VCP) and holds 415 different mutations observed in 1027 patients or families. As of March 2013, the latest publications referenced were from 2008, indicating that this resource may not be up to date. | frontotemporal dementia, gene, alzheimers disease, genome, mrna, mutation, phenotype, single nucleotide polymorphism | has parent organization: University of Antwerp; Antwerp; Belgium | Alzheimer's disease, Frontotemporal dementia | PMID:17392794 | r3d100012441, nif-0000-23934 | https://doi.org/10.17616/R3277G, https://doi.org/10.17616/R3277G | SCR_008286 | ADandFTDMDB, AD and FTD Mutation Database | 2026-09-12 01:01:59 | 7 | ||||||
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DNAtraffic Resource Report Resource Website |
DNAtraffic (RRID:SCR_008886) | DNAtraffic | data or information resource, database | DNAtraffic database is dedicated to be an unique comprehensive and richly annotated database of genome dynamics during the cell life. DNAtraffic contains extensive data on the nomenclature, ontology, structure and function of proteins related to control of the DNA integrity mechanisms such as chromatin remodeling, DNA repair and damage response pathways from eight model organisms commonly used in the DNA-related study: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Escherichia coli and Arabidopsis thaliana. DNAtraffic contains comprehensive information on diseases related to the assembled human proteins. Database is richly annotated in the systemic information on the nomenclature, chemistry and structure of the DNA damage and drugs targeting nucleic acids and/or proteins involved in the maintenance of genome stability. One of the DNAtraffic database aim is to create the first platform of the combinatorial complexity of DNA metabolism pathway analysis. Database includes illustrations of pathway, damage, protein and drug. Since DNAtraffic is designed to cover a broad spectrum of scientific disciplines it has to be extensively linked to numerous external data sources. Database represents the result of the manual annotation work aimed at making the DNAtraffic database much more useful for a wide range of systems biology applications. DNAtraffic database is freely available and can be queried by the name of DNA network process, DNA damage, protein, disease, and drug. | dna, cell cycle, genome, nomenclature, ontology, structure, function, protein, chromatin remodeling, dna repair, damage response pathway, pathway, damage, drug, annotation, disease, dna network process, dna damage, gene sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Polish Academy of Sciences Warsaw; Warsaw; Poland |
Norwegian Financial Mechanism PNRF-143-AI-1/07; Polish Ministry of Science and Higher Education N N301 165835 |
PMID:22110027 | Free | biotools:dnatraffic, nlx_151312 | https://bio.tools/dnatraffic | SCR_008886 | DNAtraffic database | 2026-09-12 01:02:02 | 0 | ||||
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Genomic HyperBrowser Resource Report Resource Website 10+ mentions |
Genomic HyperBrowser (RRID:SCR_010909) | Genomic HyperBrowser | analysis service resource, data analysis service, production service resource, service resource | A generic web-based system, providing statistical methodology and computing power to handle a variety of biological inquires on genomic datasets. | genomic, genomic track, gene regulation, disease association, epigenetic modification, genome |
is listed by: OMICtools has parent organization: University of Oslo; Oslo; Norway |
PMID:23632163 PMID:21182759 |
OMICS_00638 | SCR_010909 | The Genomic HyperBrowser | 2026-09-12 01:02:06 | 20 | |||||||
|
UCSC Cancer Genomics Browser Resource Report Resource Website 500+ mentions |
UCSC Cancer Genomics Browser (RRID:SCR_011796) | Cancer Genomics Browser | data or information resource, database, service resource | A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets. | genome, genomics, clinical, next-generation sequencing, chromosome, gene, FASEB list |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
Cancer | NCI ; NHGRI ; American Association for Cancer Research ; UCSF Comprehensive Cancer Center ; California Institute for Quantitative Biosciences |
PMID:23109555 PMID:21059681 PMID:19333237 |
Acknowledgement requested | OMICS_00925 | SCR_011796 | 2026-09-12 01:02:06 | 589 | |||||
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Fugu Genome Project Resource Report Resource Website 10+ mentions |
Fugu Genome Project (RRID:SCR_013014) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE,documented on August 16, 2019. Fugu genome is among the smallest vertebrate genomes and has proved to be a valuable reference genome for identifying genes and other functional elements such as regulatory elements in the human and other vertebrate genomes, and for understanding the structure and evolution of vertebrate genomes. This site presents version 4 of the Fugu genome, released in October 2004 by the International Fugu Genome Consortium. Fugu rubripes has a very compact genome, with less than 15 consisting of dispersed repetitive sequence, which makes it ideal for gene discovery. A draft sequence of the fugu genome was determined by the International Fugu Genome Consortium in 2002 using the ''whole-genome shotgun'' sequencing strategy. Fugu is the second vertebrate genome to be sequenced, the first being the human genome. This webpage presents the annotation made on the fourth assembly by the IMCB team using the Ensembl annotation pipeline. We are continuing with the gap filling work and linking of the scaffolds to obtain super-contigs. | element, evolution, fish, fugu, functional, gene, genome, human, pufferfish, regulatory, rubripes, structure, vertebrate, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Institute of Molecular and Cell Biology; Singapore; Singapore |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:fugu-sg, nif-0000-20988 | https://bio.tools/fugu-sg | SCR_013014 | FGP | 2026-09-12 01:02:09 | 22 | |||||||
|
Comparative Genometrics Resource Report Resource Website |
Comparative Genometrics (RRID:SCR_012920) | data or information resource, database | The Comparative Genometrics website displays for sequenced genomes, three different genometric analyses: the DNA walk and the GC and TA skews during the initial phase. Although primarily focused on prokaryotic chromosomes, the CG website posts genometric information on paradigm plasmids, phages, viruses, and organelles. The genometric analyses are available via phylogenetic tree or alphabetical list. It also offers small genome information, for mitochondria, chloroplasts, viruses, bacteriophages, and plasmids. | genome, bacteriophages, chloroplasts, genometric analyses, mitochondria, phage, plasmids, prokaryotic chromosome, sequenced genome, viruses | has parent organization: University of Lausanne; Lausanne; Switzerland | nif-0000-02682 | SCR_012920 | Comparative Genometrics | 2026-09-12 01:02:08 | 0 | |||||||||
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variation graph Resource Report Resource Website |
variation graph (RRID:SCR_024369) | vg | software resource, software toolkit | Software toolkit to improve read mapping by representing genetic variation in reference.Provides succinct encoding of sequences of many genomes. | read mapping, representing genetic variation in reference, encoding of sequences, genome | is listed by: Debian | PMID:30125266 | Free, Available for download, Freely available, | https://sources.debian.org/src/vg/ | SCR_024369 | variationgraph | 2026-09-12 01:01:17 | 0 | ||||||
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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 | 2026-09-12 01:01:19 | 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 | 2026-09-12 01:01:18 | 15 | |||||
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Four-dimensional Ascidian Body Atlas Resource Report Resource Website 1+ mentions |
Four-dimensional Ascidian Body Atlas (RRID:SCR_001691) | FABA | atlas, d spatial image, data or information resource | Image resource including ascidian's three-dimensional (3D) and cross-sectional images through the developmental time course. These images were reconstructed from more than 3,000 high-resolution real images collected by confocal laser scanning microscopy (CLSM) at newly defined 26 distinct developmental stages (stages 1-26) from fertilized egg to hatching larva, which were grouped into six periods named the zygote, cleavage, gastrula, neurula, tailbud, and larva periods. The data set will be helpful in standardizing developmental stages for morphology comparison as well as for providing guidelines for several functional studies of a body plan in chordate. | gene expression, genome, comparative genomics, human, microarray data, model organism, vertebrate, development, ascidian, embryonic development, embryo, video, developmental stage, 3d, slice, timelapse, egg, larva, time, confocal laser scanning microscopy | Japanese Ministry of Education Culture Sports Science and Technology MEXT ; JST-BIRD ; Japan Society for the Promotion of Science 18770207 |
PMID:17557317 | Free, Freely Available | nif-0000-02529 | http://ciona.lab.nig.ac.jp/ascidian/top.html | SCR_001691 | FABA: Four-dimensional Ascidian Body Atlas | 2026-09-12 01:01:22 | 5 | |||||
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GeneWiz browser Resource Report Resource Website 1+ mentions |
GeneWiz browser (RRID:SCR_001454) | analysis service resource, production service resource, 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 | 2026-09-12 01:01:22 | 6 | ||||||||
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PhenoBank Resource Report Resource Website 1+ mentions |
PhenoBank (RRID:SCR_000930) | data or information resource, database, video resource | A database that provides primary data from two high-content screens that profile the set of ~900 essential C. elegans genes (~5% of the genome) required for embryo production and/or events during the first two embryonic divisions. Phenobank houses the movies, scored defects, and phenotypic classification data for the embryo-filming and gonad morphology screens. | phenotype, data, c elegans, genome, embryo, gonad, morphology, classification | has parent organization: Max Planck Institute of Molecular Cell Biology and Genetics; Dresden; Germany | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_73232 | SCR_000930 | 2026-09-12 01:01:21 | 1 | |||||||||
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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 | 2026-09-12 01:01:22 | 499 | ||||||
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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 | 2026-09-12 01:01:22 | 4 | |||||||
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ERGO Resource Report Resource Website 50+ mentions |
ERGO (RRID:SCR_001243) | ERGO | analysis service resource, data analysis service, production service resource, service resource | A web-based genome analysis platform that integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, and biochemical and microbiological data with publicly available information. Focused on microbial genomics, it provides better and faster identification of gene function across all organisms. Building upon a comprehensive genomic database integrated with a collection of microbial metabolic and non-metabolic pathways and using proprietary algorithms, it assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways and gene products. . * Automated and manual annotation of genes and genomes * Analysis of metabolic and non-metabolic pathways to understand organism physiology * Comparison of multiple genomes to identify shared and unique features and SNPs * Functional analysis of gene expression microarray data * Data-mining for target gene discovery * In silico metabolic engineering and strain improvement | genome analysis, genome, annotation, database, software, comparative genomics, function, gene, pathway, gene expression, microarray, FASEB list | is listed by: OMICtools | Restricted | OMICS_02097 | SCR_001243 | ERGO Genome Analysis and Discovery System, ERGO Genome Analysis & Discovery System | 2026-09-12 01:01:21 | 68 | |||||||
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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 | 2026-09-12 01:01:25 | 4809 | |||
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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 | 2026-09-12 01:01:24 | 1 | |||||||
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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 | 2026-09-12 01:01:24 | 2 | |||||||
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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 | 2026-09-12 01:01:24 | 5 | |||||
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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 | 2026-09-12 01:01:23 | 70 |
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