<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pirooznia M</submitter><funding>NIMH NIH HHS</funding><pagination>897-9</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3307115</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>28(6)</volume><pubmed_abstract>&lt;h4>Motivation&lt;/h4>The synapse is integral to the function of the brain and may be an important source of dysfunction underlying many neuropsychiatric disorders. Consequently, it is an excellent candidate for large-scale genomic and proteomic study. However, while the tools and databases available for the annotation of high-throughput DNA and protein are generally robust, a comprehensive resource dedicated to the integration of information about the synapse is lacking.&lt;h4>Results&lt;/h4>We present an integrated database, called SynaptomeDB, to retrieve and annotate genes comprising the synaptome. These genes encode components of the synapse including neurotransmitters and their receptors, adhesion/cytoskeletal proteins, scaffold proteins, membrane transporters. SynaptomeDB integrates various and complex data sources for synaptic genes and proteins.</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>SynaptomeDB: an ontology-based knowledgebase for synaptic genes.</pubmed_title><pmcid>PMC3307115</pmcid><funding_grant_id>R01-MH087979</funding_grant_id><funding_grant_id>K01-MH093809</funding_grant_id><funding_grant_id>R01 MH087979</funding_grant_id><funding_grant_id>R01-MH083738</funding_grant_id><funding_grant_id>K01 MH093809</funding_grant_id><pubmed_authors>Potash JB</pubmed_authors><pubmed_authors>Pirooznia M</pubmed_authors><pubmed_authors>Wang T</pubmed_authors><pubmed_authors>Zandi PP</pubmed_authors><pubmed_authors>Thomas G</pubmed_authors><pubmed_authors>Avramopoulos D</pubmed_authors><pubmed_authors>Valle D</pubmed_authors><pubmed_authors>Huganir RL</pubmed_authors><pubmed_authors>Goes FS</pubmed_authors></additional><is_claimable>false</is_claimable><name>SynaptomeDB: an ontology-based knowledgebase for synaptic genes.</name><description>&lt;h4>Motivation&lt;/h4>The synapse is integral to the function of the brain and may be an important source of dysfunction underlying many neuropsychiatric disorders. Consequently, it is an excellent candidate for large-scale genomic and proteomic study. However, while the tools and databases available for the annotation of high-throughput DNA and protein are generally robust, a comprehensive resource dedicated to the integration of information about the synapse is lacking.&lt;h4>Results&lt;/h4>We present an integrated database, called SynaptomeDB, to retrieve and annotate genes comprising the synaptome. These genes encode components of the synapse including neurotransmitters and their receptors, adhesion/cytoskeletal proteins, scaffold proteins, membrane transporters. SynaptomeDB integrates various and complex data sources for synaptic genes and proteins.</description><dates><release>2012-01-01T00:00:00Z</release><publication>2012 Mar</publication><modification>2026-04-30T20:37:13.98Z</modification><creation>2019-03-27T00:51:20Z</creation></dates><accession>S-EPMC3307115</accession><cross_references><pubmed>22285564</pubmed><doi>10.1093/bioinformatics/bts040</doi></cross_references></HashMap>