Transcription-factor occupancy at HOT regions quantitatively predicts RNA polymerase recruitment in five human cell lines

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Abstract/Contents

Abstract
The human genome's nucleotide sequence contains a small amount of information relative to the complexity of the organism. The diversity of developmental programs and stimulus responses is instead enabled by a vast regulatory network of chemical modifications and protein interactions that determine the activity level of each genome element dynamically. Recent advances in molecular profiling techniques have led to the creation of large data sets that assay each regulatory interaction across the entire genome at once, with high sensitivity and precision. Here I introduce a new computational method, UniPeak, that synthesizes the output from any number of these experiments into a single straightforward analysis with rigorous quantitative measures. I then apply this method to the largest available data sets of genome regulation experiments, and integrate them with parallel experiments on genome activity. I discover and characterize novel regulatory interactions, and model how these interactions regulate the activity of genes.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2013
Issuance monographic
Language English

Creators/Contributors

Associated with Foley, Joseph William
Associated with Stanford University, Department of Genetics
Primary advisor Sidow, Arend
Thesis advisor Sidow, Arend
Thesis advisor Baker, Julie, (Professor of genetics)
Thesis advisor Fire, Andrew Zachary
Thesis advisor Sherlock, Gavin
Advisor Baker, Julie, (Professor of genetics)
Advisor Fire, Andrew Zachary
Advisor Sherlock, Gavin

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Joseph William Foley.
Note Submitted to the Department of Genetics.
Thesis Thesis (Ph.D.)--Stanford University, 2013.
Location electronic resource

Access conditions

Copyright
© 2013 by Joseph William Foley
License
This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).

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