DocumentCode :
3408188
Title :
Whole genome sequencing, comparative genomics, and systems biology
Author :
Myers, Eugene
Author_Institution :
California Univ., Berkeley, CA, USA
fYear :
2004
fDate :
16-19 Aug. 2004
Firstpage :
4
Abstract :
The whole-genome shotgun sequencing method with paired end-reads has proven rapid and economical, producing high-quality reconstructions of Drosophila (2000), human (2001) and mouse (2001), in quick succession. We discuss the overall algorithmic strategy, the results one can expect by comparing the whole genome assembly of Drosophila against the recently finished sequence, and advances such as high-density solid state sequencing and single molecule detection systems. We anticipate having the euchromatic portions of the genomes of twelve species of Drosophila in the next year. We discuss the current state of the art in comparative gene finding, cis-control module finding, and possible improvements. The hope of these approaches is that we will be able to accurately identify the "parts lists" of the D. melanogaster genome, a basic prerequisite for systems biology. We conclude with a segment on the possibility of a program of high-throughput in-situ image analysis in Drosophila embryos. We describe what information we might collect and what we might be able to infer from it. It is our contention that this may be the best way to understand development from a systems perspective.
Keywords :
biological techniques; biology computing; genetics; molecular biophysics; Drosophila embryos; Drosophila melanogaster; cis-control module finding; comparative gene finding; comparative genomics; high-density solid state sequencing; high-throughput in-situ image analysis; human; mouse; single molecule detection systems; systems biology; whole-genome shotgun sequencing method; Assembly systems; Bioinformatics; Genomics; Humans; Image reconstruction; Image segmentation; Mice; Sequences; Solid state circuits; Systems biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Print_ISBN :
0-7695-2194-0
Type :
conf
DOI :
10.1109/CSB.2004.1332407
Filename :
1332407
Link To Document :
بازگشت