The Third Symposium of Computations in Bioinformatics and Bioscience (SCBB|08)

Shanghai Jiaotong University-Medical School, Shanghai, China, October 18, 2008

|| Committee || Important Dates ||

Symposium of Computations in Bioinformatics and Bioscience (SCBB|08) in conjunction with the International Multi-Symposiums on Computer and Computational Sciences (IMSCCS|08), which is an international conference which will be held in Shanghai Jiaotong University, Shanghai, China, on Aug. 18-20, 2008. You are invited to submit your full papers in the following bioinformatics areas (not limited in these topics).Papers should not exceed 8 single-spaced pages of text using 10-point size type on 8.5 x 11 inch paper (IIEEE/CS Conference Format, PDF, Word, Template). All submitted papers (in PDF) should be written in English. Each paper will be peer-reviewed. Submission implies the willingness of at least one of the authors to register and present the work. The proceeding will be published by USA IEEE/Computer Society Press (EI's Engineering Information Index, Compendex®, (Elsevier http://www.ei.org/), and ISI Thomson's Scientific and Technical Proceedings®, ISTP®/ISI Proceedings, and Current Contents on Diskette® (ISI Thomson  http://www.isinet.com/).

Selected papers will be recomended and published as a suppplemental issue of BMC Bioinformatics Jounral with imacpt factor of 3.62 and indexed by many index services including PubMed etc..

Submission: jun-ni@uiowa.edu (closed)

Subject Areas

Sequence alignment
Motif and regulation elements finding
Genome annotation and gene finding
RNA structure and RNA gene finding
Protein structure and interaction
Pathways, gene networks and system biology
Database searching and pattern hunting
Phylogenetics and molecular evolution
Comparative genomics and genome evolution
Gene function prediction
Microarray experimental design and data analysis
Proteomics and metabolomics data analysis
Statistic genetics and genomics
Biology ontologies and text data mining
Database and data curation
Mathematical models and simulation for biology processes
Deep data mining for any biology data
Visualization of biology data
Biology finding using computational methods.