DocumentCode :
3408176
Title :
Computational dissection of regulatory networks using diverse high-throughput data
Author :
Shamir, Ron
Author_Institution :
Sch. of Comput. Sci., Tel Aviv Univ., Israel
fYear :
2004
fDate :
16-19 Aug. 2004
Firstpage :
2
Lastpage :
3
Abstract :
Summary form only given. The maturation of high-throughput technologies and the availability of whole genome sequences make it possible to apply holistic computational approaches to the study of biological systems. The use of high-throughput technologies requires the development of advanced computational methods and tools that would enable the elicitation of significant biological knowledge from the vast amounts of data generated by these methods. Our group has been developing a battery of such methodologies and incorporated some of them in several tools such as CLICK, PRIMA, SAMBA, EXPANDER, SHARP, Binding Site Evolution and MetaReg.
Keywords :
biology computing; genetics; knowledge acquisition; molecular biophysics; Binding Site Evolution; CLICK; EXPANDER; MetaReg; PRIMA; SAMBA; SHARP; biological knowledge elicitation; biological systems; diverse high-throughput data; high-throughput technologies; holistic computational approaches; regulatory networks; whole genome sequences; Algorithm design and analysis; Bioinformatics; Biological system modeling; Biology computing; Computer networks; Fungi; Gene expression; Genomics; Proteins; Sequences;
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.2004.1332406
Filename :
1332406
Link To Document :
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