Download Algorithms in Bioinformatics: 15th International Workshop, by Mihai Pop, Hélène Touzet PDF

By Mihai Pop, Hélène Touzet

This booklet constitutes the refereed court cases of the fifteenth overseas Workshop on Algorithms in Bioinformatics, WABI 2015, held in Atlanta, GA, united states, in September 2015. The 23 complete papers offered have been conscientiously reviewed and chosen from fifty six submissions. the chosen papers hide a variety of themes from networks to phylogenetic stories, series and genome research, comparative genomics, and RNA structure.

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Extra resources for Algorithms in Bioinformatics: 15th International Workshop, WABI 2015, Atlanta, GA, USA, September 10-12, 2015, Proceedings

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Again, WAVE works better under MI-GRAAL’s NCF than under GHOST’s AS, as M-W is superior to G-W. WAVE (at least one of M-W and G-W) beats both MI-GRAAL and GHOST (all of M-M, G-M, and G-G) in 13/18=72 % of all cases (Figs. 5 in the Appendix). The fact that WAVE in general works better under MI-GRAAL’s NCF than under GHOST’s NCF further adds to our recent finding that MI-GRAAL’s NCF is superior to other NCFs [7,42]. 2 0 0 -M -W G -G G -M G -W M M -W G -G G -M G -M -W M M Aligner Aligner (a) (b) 100 90 80 70 60 50 40 30 20 100 Exp-GO(%) 90 LCCS(%) 100 90 80 70 60 50 40 30 20 10 0 S3(%) NC(%) Fig.

Biological Alignment Quality Measures. To transfer function from well annotated network regions to poorly unannotated ones, which is the main motivation behind network alignment in computational biology, alignment should be of good biological quality, mapping nodes that perform similar function. Gene Ontology Enrichment (GO). One could measure GO, the percentage of aligned protein pairs in which the two proteins share at least one GO term, out of all aligned protein pairs in which both proteins are annotated with at least one GO term [6,42].

Again, WAVE in general works better under MI-GRAAL’s NCF than under GHOST’s, as M-W is overall superior to G-W. WAVE (at least one of M-W 30 Y. Sun et al. and G-W) beats both MI-GRAAL and GHOST (all of M-M, G-M, and G-G) in 6/10=60 % of cases dealing with the two edge-based measures of alignment quality (Figs. 4 in the Appendix). The ranking of the different methods does not change with increase of noise level with respect to NC and ExpGO, but it does change with respect to S3 and LCCS for the highest noise levels.

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