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Computational methods to advance phy...

Bazinet, Adam.

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Computational methods to advance phylogenomic workflows.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational methods to advance phylogenomic workflows./
作者:	Bazinet, Adam.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:	325 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Contained By:	Dissertation Abstracts International77-02B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3725443
ISBN:	9781339097435

Computational methods to advance phylogenomic workflows.
Bazinet, Adam.

Computational methods to advance phylogenomic workflows. - Ann Arbor : ProQuest Dissertations & Theses, 2015 - 325 p.

Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.

Thesis (Ph.D.)--University of Maryland, College Park, 2015.

This item is not available from ProQuest Dissertations & Theses.

Phylogenomics refers to the use of genome-scale data in phylogenetic analysis. There are several methods for acquiring genome-scale, phylogenetically-useful data from an organism that avoid sequencing the entire genome, thus reducing cost and effort, and enabling one to sequence many more individuals. In this dissertation we focus on one method in particular---RNA sequencing---and the concomitant use of assembled protein-coding transcripts in phylogeny reconstruction. Phylogenomic workflows involve tasks that are algorithmically and computationally demanding, in part due to the large amount of sequence data typically included in such analyses. This dissertation applies techniques from computer science to improve methodology and performance associated with phylogenomic workflow tasks such as sequence classification, transcript assembly, orthology determination, and phylogenetic analysis. While the majority of the methods developed in this dissertation can be applied to the analysis of diverse organismal groups, we primarily focus on the analysis of transcriptome data from Lepidoptera (moths and butterflies), generated as part of a collaboration known as "Leptree".

ISBN: 9781339097435Subjects--Topical Terms:

523869
Computer science.

Computational methods to advance phylogenomic workflows.
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