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RECOMB 2003 proceedings of the Seventh Annual International Conference on Computational Molecular Biology, April 10-13, 2003, Berlin, Germany by International Conference on Computational Molecular Biology (7th 2003 Berlin, Germany)

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Published by Association for Computing Machinery in New York .
Written in English

Subjects:

  • Molecular biology -- Computer simulation -- Congresses

Book details:

Edition Notes

Other titlesProceedings of the Seventh Annual International Conference on Computational Molecular Biology., Computational biology., RECOMB "03.
Statementunder the patronage of Edelgard Bulmahn ; sponsored by Association for Computing Machinery, SIGACT ; with support from the German Federal Ministry for Education and Research ... [et al.].
GenreCongresses.
ContributionsMiller, Webb., ACM Special Interest Group for Automata and Computability Theory., Germany. Bundesministerium für Bildung und Forschung.
The Physical Object
Paginationx, 341 p. :
Number of Pages341
ID Numbers
Open LibraryOL18807255M
ISBN 101581136358
OCLC/WorldCa54880170

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  Get this from a library! RECOMB proceedings of the Seventh Annual International Conference on Research in Computational Molecular Biology, April , , Berlin, Germany. [Webb Miller; ACM Special Interest Group for Automata and Computability Theory.; Germany. Bundesministerium für Bildung und Forschung.;]. RECOMB honored two young researchers (PhD students) for their excellent contributions to the conference. Gill Bejerano (Hebrew University, Israel) has been awarded the “RECOMB Best Paper by a Young Scientist Award” for his paper “Efficient exact p-Value Computation and Applications to Biosequence Analysis”. This volume contains the papers presented at the Seventh Annual International Conference on Computational Biology, also known as RECOMB , which was held in Berlin, Germany on April , The RECOMB conference series was started by Sorin Istrail, Pavel Pevzner and Michael Waterman in Zhang, Y. and Waterman, M.S (), An Eulerian path approach to global multiple alignment for DNA sequences, Journal of Computational Biology,10 Li, X., and Waterman, M.S (), Estimating the repeat structure and length of DNA sequences using l .

The RECOMB Conference Series was founded in to provide a scientific forum for theoretical advances in computational biology and their applications in molecular biology and medicine. The conference series aims at attracting research contributions . The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB), Berlin () pp. [ PDF ] " Ensembles of active site conformations allow structure-based redesign and drug design," (with A. Anderson, R. Lilien and V. Popov), th American Chemical Society National Meeting, March , Human-mouse alignments with BLASTZ. Genome Research, , Google Scholar Cross Ref; A. Siepel and D. Haussler. Combining phylogenetic and hidden markov models in biosequence analysis. Proceedings of the The Seventh Annual International Conference on Research in Computational Molecular Biology (RECOMB'03), Google Scholar. Proceedings of the Sventh Annual International Conference on Computational Biology, RECOMB , Berlin, Germany, April , ACM , ISBN [contents] 6.

RECOMB is the 24th edition of a series of algorithmic computational biology conferences bridging the areas of computational, mathematical, statistical and biological sciences. The conference features keynote talks by preeminent scientists in life sciences, presentations of ground breaking research in computational biology, selected over.   Abstract. We report on a new de novo peptide sequencing algorithm that uses spectral graph partitioning. In this approach, relationships between m/z peaks are represented by attractive and repulsive springs, and the vibrational modes of the spring system are used to infer information about the peaks (such as “likely b-ion” or “likely y-ion”). Proceedings of the 7th annual international conference on research in computational molecular biology (RECOMB), Best paper by a young scientist award. [ pdf ]. The term Cyber-Physical Systems (CPS) typically refers to engineered, physical and biological systems monitored and/or controlled by an embedded computational core. The behaviour of a CPS over time.