{"id":3950,"date":"2012-01-01T19:19:21","date_gmt":"2012-01-02T00:19:21","guid":{"rendered":"https:\/\/www.bu.edu\/bioinformatics\/?p=3950"},"modified":"2012-11-13T14:39:24","modified_gmt":"2012-11-13T19:39:24","slug":"richard_park_seqeyes","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/bioinformatics\/2012\/01\/01\/richard_park_seqeyes\/","title":{"rendered":"Student Seminar: Richard Park"},"content":{"rendered":"<p><strong>Speaker: <\/strong> Richard Park<br \/>\n<strong>Advisers: <\/strong> Peter Park &amp; Simon Kasif<br \/>\n<strong>Title: <\/strong> Seqeyes: A multi-scale interactive visualization tool for structural variations<\/p>\n<p><strong>ABTRACT<\/strong><br \/>\nGenomic  structural variations (SV) are known to play an important role in  cancer and other diseases. Next-generation sequencing is a key  technology for the identification of such variations, but current data  and algorithms yield many false positives and false negative  predictions. We have created a visualization tool called Seqeyes to  explore and interpret predicted structural variations to help guide  experimental validations. Users can sort, filter, and aggregate samples  based on clinical attributes, which facilitates the association of  phenotypes with specific patterns of structural variation. Our tool  provides a combination of linear and circular representations. Two  genome browser views show detail at multiple locations concurrently,  while the circular ideogram view provides a global summary. Multiple  molecular data types including copy number, gene expression, and  methylation microarrays for each sample are integrated as additional  genomic tracks. We leverage advanced open-source indexes available from  Postgresql and Postbio to greatly enhance the speed and amount of data  available to visualize. Seqeyes is a novel multi-scale visualization  that can interactively navigate dozens of genomes down to individual  sequencing reads within a web browser.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Speaker: Richard Park Advisers: Peter Park &amp; Simon Kasif Title: Seqeyes: A multi-scale interactive visualization tool for structural variations ABTRACT Genomic structural variations (SV) are known to play an important role in cancer and other diseases. Next-generation sequencing is a key technology for the identification of such variations, but current data and algorithms yield many [&hellip;]<\/p>\n","protected":false},"author":1728,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[376],"tags":[11822],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/posts\/3950"}],"collection":[{"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/users\/1728"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/comments?post=3950"}],"version-history":[{"count":6,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/posts\/3950\/revisions"}],"predecessor-version":[{"id":3954,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/posts\/3950\/revisions\/3954"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/media?parent=3950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/categories?post=3950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/bioinformatics\/wp-json\/wp\/v2\/tags?post=3950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}