Analysis of transcriptional regulatory circuitry
Name
58994970-MIT.pdf
Description
Full printable version
Size
9.63 MB
Format
Adobe PDF
Checksum (MD5)
0e2c549c329e4b560f1dd846e8e4ed6f
Author(s)
Rinaldi, Nicola J., 1974-
Advisor(s)
Richard A. Young.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
The research in this thesis has focused on the analysis of data from two types of microarray technologies with the goal of improving understanding of transcriptional regulatory circuitry in yeast. These microarray technologies, expression analysis and location analysis (ChIP on CHIP), bring unique challenges for data analysis. I have adapted methods described previously and have developing new algorithms for addressing some of these challenges. I generated yeast transcription factor location data as part of a team effort to determine how a large set of transcriptional regulators occupy the yeast genome and to facilitate discovery of regulatory network structures. I also contributed to another team effort to deduce a portion of the yeast transcriptional regulatory code, the set of genomic DNA sequences recognized by transcriptional regulators to effect gene expression programs. Finally, I used these experimental and analytical methods to explore changes in gene expression circuitry that occur after exposure to oxidative stress in yeast.
Description
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 2004.
Includes bibliographical references.
Subjects
Biology.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Terms of Use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Persistent DSpace Link
