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Gene Disease Database; Gene Expression Omnibus (GEO [9]): a public functional genomics data repository from the U.S. National Cancer Institute (NCI), which supports array- and sequence-based data. Tools for querying and downloading gene expression profiles are provided.
[1] [5] [6] The GeneCards database provides access to free Web resources about more than 350,000 known and predicted human genes, integrated from >150 data resources, such as HGNC, Ensembl, and NCBI. The core gene list is based on NCBI, Ensembl and approved gene symbols published by the HUGO Gene Nomenclature Committee (HGNC).
Both Na v 1.8 and Na v 1.9 have been shown to play a role in bone cancer associated pain using a rat model of bone cancer. The dorsal root ganglion of lumbar 4-5 of rats with bone cancer were shown to have up-regulation of Na v 1.8 and Na v 1.9 mRNA expression as well as an increase in total number of these alpha subunits.
Gene records for known or predicted genes are established here and are demarcated by map positions or nucleotide sequences. Gene has several advantages over its predecessor, LocusLink, including, better integration with other databases in NCBI, broader taxonomic scope, and enhanced options for query and retrieval provided by the Entrez system. [11]
He is known for his work in the genetics of pain, [2] for being among the first scientists to demonstrate sex differences in pain perception, [3] and for identifying previously unknown factors and confounds that affect the integrity of contemporary pain research. [4] He has an h-index of 100. [5]
KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances.KEGG is utilized for bioinformatics research and education, including data analysis in genomics, metagenomics, metabolomics and other omics studies, modeling and simulation in systems biology, and translational research in drug development.
A number of online neuroscience databases are available which provide information regarding gene expression, neurons, macroscopic brain structure, and neurological or psychiatric disorders. Some databases contain descriptive and numerical data, some to brain function, others offer access to 'raw' imaging data, such as postmortem brain sections ...
The DisGeNET database integrates over 400 000 associations between > 17 000 genes and > 14 000 diseases from human to animal model expert curated databases with text mined GDAs from MEDLINE using a NLP-based approach. [4] The highlights of DisGeNET are the data integration, standardisation and a fine-grained tracking of the provenance information.