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Using protein interactome networks t...
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Das, Jishnu.
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Using protein interactome networks to understand human disease and evolution.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Using protein interactome networks to understand human disease and evolution./
Author:
Das, Jishnu.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:
322 p.
Notes:
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Contained By:
Dissertation Abstracts International78-02B(E).
Subject:
Bioinformatics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10171391
ISBN:
9781369254280
Using protein interactome networks to understand human disease and evolution.
Das, Jishnu.
Using protein interactome networks to understand human disease and evolution.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 322 p.
Source: Dissertation Abstracts International, Volume: 78-02(E), Section: B.
Thesis (Ph.D.)--Cornell University, 2016.
Proteins are macromolecules that perform many key biological functions in living organisms. However, despite their functional complexity, they do not act in isolation but are part of a large underlying cellular network -- the protein interactome. In my thesis, I focus on ways in which the structure, topology and properties of this interactome network can be leveraged to better understand mechanisms of human disease and evolution at a molecular level. This work can be broken down into 3 broad categories -- (1) in chapters 2-4, I focus on combining protein structure with interactome networks to better understand disease mechanisms via loss or gain of specific functions; (2) in chapters 5 and 6, I use gene expression data in conjunction with networks to study interaction dynamics and how this is useful in predicting cancer outcome; (3) in chapters 7 and 8, I examine global principles of protein network evolution from yeasts to human. At the beginning of each chapter, I have outlined both my role and the role of my colleagues in conducting the research described in the chapter.
ISBN: 9781369254280Subjects--Topical Terms:
553671
Bioinformatics.
Using protein interactome networks to understand human disease and evolution.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10171391
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