Analysis of transcriptional regulatory circuitry

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Biology.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Rinaldi, Nicola J., 1974-

Advisor dc:contributor.advisor

• Richard A. Young.

• Biology.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28674

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28674