{"544431":{"#nid":"544431","#data":{"type":"event","title":"PhD Defense by Peter Audano","body":[{"value":"\u003Cp align=\u0022center\u0022\u003EIn partial fulfillment of the Requirements for the Degree of\u003Cbr \/\u003E \u003Cbr \/\u003E Doctor of Philosophy in Bioinformatics\u003Cbr \/\u003E in the\u003Cbr \/\u003E School of Biology\u003Cbr \/\u003E \u003Cbr \/\u003E \u003Cstrong\u003EPeter Audano\u003C\/strong\u003E\u003Cbr \/\u003E \u003Cbr \/\u003E Will defend his thesis\u003Cbr \/\u003E \u003Cbr \/\u003E \u003Cstrong\u003E\u0022SCALABLE MAPPING-FREE ALGORITHMS AND\u003Cbr \/\u003E K-MER DATA STRUCTURES FOR GENOMIC ANALYSIS\u0022\u003C\/strong\u003E\u003Cbr \/\u003E \u003Cbr \/\u003E Wednesday, June 22, 2016\u003Cbr \/\u003E 11:00 AM\u003Cbr \/\u003E Molecular Science \u0026amp; Engineering Building, room 1201A\u003Cbr \/\u003E \u003Cbr \/\u003E \u003Cbr \/\u003E Thesis Advisor:\u003Cbr \/\u003E Dr. Fredrik Vannberg (School of Biology)\u003Cbr \/\u003E \u003Cbr \/\u003E \u003Cbr \/\u003E Committee Members:\u003Cbr \/\u003E Dr. King Jordan (School of Biology)\u003Cbr \/\u003E Dr. Srinivas Aluru (School of Computational Science and Engineering)\u003Cbr \/\u003E Dr. Brian Hammer (School of Biology)\u003Cbr \/\u003E Dr. Greg Gibson (School of Biology)\u003Cbr \/\u003E \u003Cbr \/\u003E \u003Cbr \/\u003E Abstract:\u003Cbr \/\u003E Modern genomic experiments are taking advantage of rapid growth in sequencing technology throughput. With so much data generated by a single sequencing run, many scientists are turning to distributed and cloud computing platforms to process it. Instead of finding new ways to dedicate more resources to this problem, Peter Audano will discuss new algorithms that reduce the computational burden of analysis. Most approaches begin by aligning sequence reads to a reference, but with an emerging class of mapping-free algorithms, hours of CPU time can be saved by skipping this step. This defense will discuss the fundamental k-mer data structures that support these methods and new variant calling techniques that work efficiently even where alignments fail.\u003C\/p\u003E\u003Cp\u003E \u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"SCALABLE MAPPING-FREE ALGORITHMS AND K-MER DATA STRUCTURES FOR GENOMIC ANALYSIS"}],"uid":"27707","created_gmt":"2016-06-14 12:58:20","changed_gmt":"2016-10-08 02:18:03","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-06-22T12:00:00-04:00","event_time_end":"2016-06-22T14:00:00-04:00","event_time_end_last":"2016-06-22T14:00:00-04:00","gmt_time_start":"2016-06-22 16:00:00","gmt_time_end":"2016-06-22 18:00:00","gmt_time_end_last":"2016-06-22 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}