Download Algorithms in Bioinformatics: 13th International Workshop, by Bernard M. E. Moret (auth.), Aaron Darling, Jens Stoye PDF

By Bernard M. E. Moret (auth.), Aaron Darling, Jens Stoye (eds.)

This ebook constitutes the refereed court cases of the thirteenth overseas Workshop on Algorithms in Bioinformatics, WABI 2013, held in Sophia Antipolis, France, in September 2013. WABI 2013 is considered one of seven workshops which, besides the ecu Symposium on Algorithms (ESA), represent the ALGO annual assembly and highlights study in algorithmic paintings for bioinformatics, computational biology and platforms biology. The aim is to give contemporary learn effects, together with major work-in-progress, and to spot and discover instructions of destiny learn. The 27 complete papers awarded have been conscientiously reviewed and chosen from sixty one submissions. The papers hide all points of algorithms in bioinformatics, computational biology and structures biology.

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Additional resources for Algorithms in Bioinformatics: 13th International Workshop, WABI 2013, Sophia Antipolis, France, September 2-4, 2013. Proceedings

Example text

Mazza et al. Conclusions The protein-protein interaction network represents a combination of diverse regulation and interaction mechanisms operating in different conditions and time scales. Integrating such data in a coherent manner to describe a process of interest is a fundamental challenge, which we aim to tackle in this work via a novel ILP-based minimum labeling algorithm. We apply our algorithm to two human data sets and show that it attains compact solutions that capture the dynamics of the data and align well with current knowledge.

Evolutionary inaccuracy of pairwise structural alignments. Bioinformatics 28(9), 1209–1215 (2012) 38. : Flexible structure alignment by chaining aligned fragment pairs allowing twists. Bioinformatics 19(suppl. 2), ii246–ii255 (2003) 39. : Matt: local flexibility aids protein multiple structure alignment. il 2 Dept. of Cell Research and Immunology, Tel Aviv University, Tel Aviv 69978, Israel Biotechnology Institute Thurgau, University of Konstanz, Unterseestrasse 47, 8280 Kreuzlingen, Switzerland Abstract.

Assume that there exists a near optimal ROTRAN that minimizes the RMSD of two small sets of Cα atoms. We find the near optimal structure alignment by sampling ROTRANs in four steps: (1) ROTRANs are initially sampled from local fragment alignments and from remote fragment pair alignments; (2) noise ROTRANs are filtered out by clustering; (3) one representative alignment for each ROTRAN cluster is selected based on alignment scores; (4) the selected alignments are refined by random ROTRAN sampling. 2.

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