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Mathematical Biology Seminar: ISSAC : An Integrated Statistical System for Analyzing DNA Chip data

Dr. Jae Won Lee, Department of Statistics, Korea University, Seoul, KOREA

What Seminar
When 02 Oct 2008
from 03:30 pm to 04:30 pm
Where MG 1099
Contact Name Jason Miller
Contact Email
Contact Phone 660.785.7430
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The remarkably increasing rate at which genomes are being sequenced has opened a new area of genome research, functional genomics, which is concerned with assigning biological function to DNA sequences. The novel biotechnologies such as cDNA microarrays and oligonucleotide chips are increasingly used to exploit DNA sequence data and yield information on the gene expression levels for entire genomes.

Many statisticians have developed some statistical methods for designing and analyzing microarray gene expression data. However, most of the commercial softwares do not fully cover these statistical methods but only emphasize the visualization tools and user-friendly operating tools. It is still not easy for the biologists to use the appropriate statistical software and interpret the results.. Thus, we developed an integrated statistical software system for analyzing DNA chip data, ISSAC. It is as user-friendly as the other commercial softwares and implements many recently proposed statistical methods.

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This material is based upon work supported by the National Science Foundation's Interdisciplinary Training for Undergraduates in Biology and Mathematics program under Grant No. 0436348, "Research-focused Learning Communities in Mathematical Biology," and Grant No. 0337769, "Mathematical Biology Initiative." Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.