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By István Miklós, Zoltán Toroczkai (auth.), Olivier Gascuel, Bernard M. E. Moret (eds.)

This booklet constitutes the refereed complaints of the 1st foreign Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001.
The 23 revised complete papers awarded have been conscientiously reviewed and chosen from greater than 50 submissions. one of the concerns addressed are designated and approximate algorithms for genomics, series research, gene and sign reputation, alignment, molecular evolution, constitution selection or prediction, gene expression and gene networks, proteomics, useful genomics, and drug layout; methodological themes from algorithmics; high-performance techniques to difficult computational difficulties in bioinformatics.

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Extra info for Algorithms in Bioinformatics: First International Workshop, WABI 2001 Århus Denmark, August 28–31, 2001 Proceedings

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M. S. Waterman. Introduction to Computational Biology. Chapman and Hall, 1995. Boosting EM for Radiation Hybrid and Genetic Mapping Thomas Schiex 1 , Patrick Chabrier 1 , Martin Bouchez 1 , and Denis Milan2 1 Biometry and AI Lab. fr 2 Abstract. Radiation hybrid (RH) mapping is a somatic cell technique that is used for ordering markers along a chromosome and estimating physical distances between them. It nicely complements the genetic mapping technique, allowing for finer resolution. Like genetic mapping, RH mapping consists in finding a marker ordering that maximizes a given criteria.

2. Each fragment size in data D j is assumed to have an independent error distributed as a Gaussian with standard deviation σ. ) 3. Missing restriction sites in input maps D j are modeled by a probability p c of an actual restriction site being present in the data. 4. False restriction sites in the input maps D j are modeled by a rate parameter p f , which specifies the expected false cut density in the input maps, and is assumed to be uniformly and randomly distributed over the input maps. The Bayesian probability density components f (H) and f (D j |H) are computed separately for each contig (island) of the proposed placement and the overall probability density is equal to their products.

Koonin. Detection of conserved segments in proteins: Iterative scanning of sequence databases with alignment blocks. Proceedings of the National Academy of Sciences of the United States of America, 91:12091–12095, December 1994. 21. Ralf Thiele, Ralf Zimmer, and Thomas Lengauer. Protein threading by recursive dynamic programming. Journal of Molecular Biology, 290(3):757–779, 1999. 22. Julie D. Thompson, Desmond G. Gibson. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

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