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Found 19 result(s)

MozAtlas

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MozAtlas provides gene expression data of adult male and female mosquitoes as tables, expressions, trees and models. MozAtlas also provides sequence orthology relationships with data provided by FlyBase, Vectorbase, Beetlebase, BeeBase, and WormBase.

Gene Expression Nervous System Atlas

GENSAT

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The GENSAT project aims to map the expression of genes in the central nervous system of the mouse. It is a collection of pictorial gene expression maps of the brain and spinal cord of the mouse.

NCBI Gene

Gene

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The Gene database provides detailed information for known and predicted genes defined by nucleotide sequence or map position. Gene supplies gene-specific connections in the nexus of map, sequence, expression, structure, function, citation, and homology data. Unique identifiers are assigned to genes with defining sequences, genes with known map positions, and genes inferred from phenotypic information. These gene identifiers are used throughout NCBI's databases and tracked through updates of annotation. Gene includes genomes represented by NCBI Reference Sequences (or RefSeqs) and is integrated for indexing and query and retrieval from NCBI's Entrez and E-Utilities systems.

NCBI Epigenomics

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>>>!!! <<< The Epigenomics database was retired on June 1, 2016. All epigenomics data are available in our GEO resource https://www.ncbi.nlm.nih.gov/geo >>> !!! <<< The Epigenomics database provides genomics maps of stable and reprogrammable nuclear changes that control gene expression and influence health. Users can browse current epigenomic experiments as well as search, compare and browse samples from multiple biological sources in gene-specific contexts. Many epigenomes contain modifications with histone marks, DNA methylation and chromatin structure activity. NCBI Epigenomics database contains datasets from the NIH Roadmap Epigenomics Project.

Oral Cancer Gene Database

OrCGDB

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Oral Cancer Gene Database is an initiative of the Advanced Centre for Treatment, Research and Education in Cancer, Navi Mumbai. The present database, version II, consists of 374 genes. It is developed as a user friendly site that would provide the scientist, information and external links from one place. The database is accessed through a list of all genes, and Keyword Search using gene name or gene symbol, chromosomal location, CGH (in %), and molecular weight. Interaction Network shows the interaction between genes for particular biological processes and molecular functions.

NCBI Probe

Probe

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<<<!!!<<< NCBI has retired the Probe Database >>>!!!>>>

Estonian Biocentre Free Data

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A small genotype data repository containing data used in recent papers from the Estonian Biocentre. Most of the data pertains to human population genetics. PDF files of the papers are also freely available.

ASAP

A systematic annotation package for community analysis of genomes

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ASAP (a systematic annotation package for community analysis of genomes) is a relational database and web interface developed to store, update and distribute genome sequence data and gene expression data collected by or in collaboration with researchers at the University of Wisconsin - Madison. ASAP was designed to facilitate ongoing community annotation of genomes and to grow with genome projects as they move from the preliminary data stage through post-sequencing functional analysis. The ASAP database includes multiple genome sequences at various stages of analysis, and gene expression data from preliminary experiments.

TB Database

Tuberculosis Database

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The repository is no longer available. >>>!!!<<< 2018-08-29: no more access to TB Database >>>!!!<<<

NCBI dbVar

Database of genomic structural VARiation

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The dbVar is a database of genomic structural variation containing data from multiple gene studies. Users can browse data containing the number of variant cells from each study, and filter studies by organism, study type, method and genomic variant. Organisms include human, mouse, cattle and several additional animals. ***NCBI will phase out support for non-human organism data in dbSNP and dbVar beginning on September 1, 2017 ***

caArray

Array Data Management System

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>>>!!!<<< caArray Retirement Announcement >>>!!!<<< The National Cancer Institute (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) instance of the caArray database was retired on March 31st, 2015. All publicly-accessible caArray data and annotations will be archived and will remain available via FTP download https://wiki.nci.nih.gov/x/UYHeDQ and is also available at GEO http://www.ncbi.nlm.nih.gov/geo/ . >>>!!!<<< While NCI will not be able to provide technical support for the caArray software after the retirement, the source code is available on GitHub https://github.com/NCIP/caarray , and we encourage continued community development. Molecular Analysis of Brain Neoplasia (Rembrandt fine-00037) gene expression data has been loaded into ArrayExpress: http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-3073 >>>!!!<<< caArray is an open-source, web and programmatically accessible microarray data management system that supports the annotation of microarray data using MAGE-TAB and web-based forms. Data and annotations may be kept private to the owner, shared with user-defined collaboration groups, or made public. The NCI instance of caArray hosts many cancer-related public datasets available for download.

EMBL-EBI

European Molecular Biology Laboratory - European Bioinformatics Institute

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The European Bioinformatics Institute (EBI) has a long-standing mission to collect, organise and make available databases for biomolecular science. It makes available a collection of databases along with tools to search, download and analyse their content. These databases include DNA and protein sequences and structures, genome annotation, gene expression information, molecular interactions and pathways. Connected to these are linking and descriptive data resources such as protein motifs, ontologies and many others. In many of these efforts, the EBI is a European node in global data-sharing agreements involving, for example, the USA and Japan.

Online Mendelian Inheritance in Animals

OMIA

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Online Mendelian Inheritance in Animals (OMIA) is a catalogue/compendium of inherited disorders, other (single-locus) traits, and genes in 218 animal species (other than human and mouse and rats, which have their own resources) authored by Professor Frank Nicholas of the University of Sydney, Australia, with help from many people over the years. OMIA information is stored in a database that contains textual information and references, as well as links to relevant PubMed and Gene records at the NCBI, and to OMIM and Ensembl.

AceView

AceView genes

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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.

NCBI Third Party Annotation

TPA

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TPA is a database that contains sequences built from the existing primary sequence data in GenBank. TPA records are retrieved through the Nucleotide Database and feature information on the sequence, how it was cataloged, and proper way to cite the sequence information.

Follicular Lymphoma Genome Data at Canada's Michael Smith Genome Sciences Centre (BCGSC)

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<<<!!!<<< Genome data generated by BC Genome Sciences Centre is no longer available through this site as it is regularly deposited into controlled data repositories such as the European Genome Phenome Archive (EGA); ICGC (International Cancer Genome Consortium) and the Genome Data Commons (GDC) >>>!!!>>> Mapping, copy number analysis, sequence and gene expression data generated by the High Resolution Analysis of Follicular Lymphoma Genomes project. The data will be available for 24 patients with follicular lymphoma. All data will be made as widely and freely available as possible while safeguarding the privacy of participants, and protecting confidential and proprietary data.The data from this project will be submitted to public genomic data sources. These sources will be listed on this web site as the data becomes available in these external data sources.

DTU Bioinformatics

Center for Biological Sequence Analysis (formerly)

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<<<!!!<<< DTU Bioinformatics was closed on 31 December 2018 as part of a reorganization at DTU >>>!!!>>>

Organelle Genome Megasequencing Program

OGMP

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The Organelle Genome Megasequencing Program (OGMP) provides mitochondrial, chloroplast, and mitochondrial plasmid genome data. OGMP tools allow direct comparison of OGMP and NCBI validated records. Includes GOBASE, a taxonomically broad organelle genome database that organizes and integrates diverse data related to mitochondria and chloroplasts.

Ensembl Genomes

e!EnsemblGenomes

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The Ensembl genome annotation system, developed jointly by the EBI and the Wellcome Trust Sanger Institute, has been used for the annotation, analysis and display of vertebrate genomes since 2000. Since 2009, the Ensembl site has been complemented by the creation of five new sites, for bacteria, protists, fungi, plants and invertebrate metazoa, enabling users to use a single collection of (interactive and programatic) interfaces for accessing and comparing genome-scale data from species of scientific interest from across the taxonomy. In each domain, we aim to bring the integrative power of Ensembl tools for comparative analysis, data mining and visualisation across genomes of scientific interest, working in collaboration with scientific communities to improve and deepen genome annotation and interpretation.