<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dunn NA</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>e1006790</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6380598</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(2)</volume><pubmed_abstract>Genome annotation is the process of identifying the location and function of a genome's encoded features. Improving the biological accuracy of annotation is a complex and iterative process requiring researchers to review and incorporate multiple sources of information such as transcriptome alignments, predictive models based on sequence profiles, and comparisons to features found in related organisms. Because rapidly decreasing costs are enabling an ever-growing number of scientists to incorporate sequencing as a routine laboratory technique, there is widespread demand for tools that can assist in the deliberative analytical review of genomic information. To this end, we present Apollo, an open source software package that enables researchers to efficiently inspect and refine the precise s</pubmed_abstract><journal>PLoS computational biology</journal><pubmed_title>Apollo: Democratizing genome annotation.</pubmed_title><pmcid>PMC6380598</pmcid><funding_grant_id>R01-GM080203</funding_grant_id><funding_grant_id>R01 GM080203</funding_grant_id><pubmed_authors>Munoz-Torres M</pubmed_authors><pubmed_authors>Diesh C</pubmed_authors><pubmed_authors>Lewis SE</pubmed_authors><pubmed_authors>Harris NL</pubmed_authors><pubmed_authors>Rasche H</pubmed_authors><pubmed_authors>Dunn NA</pubmed_authors><pubmed_authors>Elsik CG</pubmed_authors><pubmed_authors>Unni DR</pubmed_authors><pubmed_authors>Yao E</pubmed_authors><pubmed_authors>Holmes IH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Apollo: Democratizing genome annotation.</name><description>Genome annotation is the process of identifying the location and function of a genome's encoded features. Improving the biological accuracy of annotation is a complex and iterative process requiring researchers to review and incorporate multiple sources of information such as transcriptome alignments, predictive models based on sequence profiles, and comparisons to features found in related organisms. Because rapidly decreasing costs are enabling an ever-growing number of scientists to incorporate sequencing as a routine laboratory technique, there is widespread demand for tools that can assist in the deliberative analytical review of genomic information. To this end, we present Apollo, an open source software package that enables researchers to efficiently inspect and refine the precise s</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Feb</publication><modification>2025-05-29T19:53:02.043Z</modification><creation>2025-05-29T19:53:02.043Z</creation></dates><accession>S-EPMC6380598</accession><cross_references><pubmed>30726205</pubmed><doi>10.1371/journal.pcbi.1006790</doi></cross_references></HashMap>