<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(Suppl 2 Proceedings of the 3rd Annual Symposium on Biol)</volume><submitter>Ray WC</submitter><pubmed_abstract>&lt;h4>Introduction&lt;/h4>In 2011, the BioVis symposium of the IEEE VisWeek conferences inaugurated a new variety of data analysis contest. Aimed at fostering collaborations between computational scientists and biologists, the BioVis contest provided real data from biological domains with emerging visualization needs, in the hope that novel approaches would result in powerful new tools for the community. In 2011 and 2012 the theme of these contests was expression Quantitative Trait Locus analysis, within and across tissues respectively. In 2013 the topic was updated to protein sequence and mutation visualization.&lt;h4>Methods&lt;/h4>The contest was framed in the context of a real protein with numerous mutations that had lost function, and the question posed "what minimal set of changes would you pro</pubmed_abstract><journal>BMC proceedings</journal><pagination>S1</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4155613</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests.</pubmed_title><pmcid>PMC4155613</pmcid><pubmed_authors>Magliery T</pubmed_authors><pubmed_authors>Sullivan B</pubmed_authors><pubmed_authors>Machiraju R</pubmed_authors><pubmed_authors>Callahan N</pubmed_authors><pubmed_authors>Bartlett CW</pubmed_authors><pubmed_authors>Wong B</pubmed_authors><pubmed_authors>Rumpf RW</pubmed_authors><pubmed_authors>Ray WC</pubmed_authors><pubmed_authors>Krzywinski M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests.</name><description>&lt;h4>Introduction&lt;/h4>In 2011, the BioVis symposium of the IEEE VisWeek conferences inaugurated a new variety of data analysis contest. Aimed at fostering collaborations between computational scientists and biologists, the BioVis contest provided real data from biological domains with emerging visualization needs, in the hope that novel approaches would result in powerful new tools for the community. In 2011 and 2012 the theme of these contests was expression Quantitative Trait Locus analysis, within and across tissues respectively. In 2013 the topic was updated to protein sequence and mutation visualization.&lt;h4>Methods&lt;/h4>The contest was framed in the context of a real protein with numerous mutations that had lost function, and the question posed "what minimal set of changes would you pro</description><dates><release>2014-01-01T00:00:00Z</release><publication>2014</publication><modification>2025-04-04T12:08:47.598Z</modification><creation>2019-03-27T01:35:15Z</creation></dates><accession>S-EPMC4155613</accession><cross_references><pubmed>25237388</pubmed><doi>10.1186/1753-6561-8-S2-S1</doi></cross_references></HashMap>