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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 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. |
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