[1] High-throughput sequence analysis: To identify cancer-causing disease genes, we run high-throughput sequences analysis for mouse large-scale insertional mutagenesis projects. We reduced the time for the sequence alignment and cancer-gene identification processes. Recently, we developed a new pipeline program to handle short sequences from next-generation sequencing machines to enhance the speed of cancer-gene identification process. [2] Database development: We develop and maintain databases for data from microarray and sequencing projects. We published sequence data for cancer gene candidates in web-accessible databases to share the knowledge with wide cancer research community. [3] Statistical analysis of microarrays: We run statistical analysis of microarrays. We used latest statistical methods to analyze expression arrays and CGH arrays from many mouse tumor models. We identified differentially expressed genes and copy number variations. Further, we applied biological pathway analysis toward these variation and identified the affected biological functions in these samples.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Intramural Research (Z01)
Project #
1Z01BC010926-01
Application #
7733334
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2008
Total Cost
$197,578
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
United States
Zip Code