Algorithms for Computational Biology: First International - download pdf or read online

By Adrian-Horia Dediu, Carlos Martín-Vide, Bianca Truthe (eds.)

ISBN-10: 3319079522

ISBN-13: 9783319079523

ISBN-10: 3319079530

ISBN-13: 9783319079530

This ebook constitutes the refereed court cases of the 1st overseas convention, AlCoB 2014, held in July 2014 in Tarragona, Spain.

The 20 revised complete papers have been conscientiously reviewed and chosen from 39 submissions. The scope of AlCoB contains themes of both theoretical or utilized curiosity, specifically: special series research, approximate series research, pairwise series alignment, a number of series alignment, series meeting, genome rearrangement, regulatory motif discovering, phylogeny reconstruction, phylogeny comparability, constitution prediction, proteomics: molecular pathways, interplay networks, transcriptomics: splicing versions, isoform inference and quantification, differential research, next-generation sequencing: inhabitants genomics, metagenomics, metatranscriptomics, microbiome research, platforms biology.

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Read or Download Algorithms for Computational Biology: First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedigns PDF

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Additional resources for Algorithms for Computational Biology: First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedigns

Sample text

Notice that these algorithms have the following two guarantees. Given the clustering for a threshold 1. No two points within a cluster have distance more than 2. No two clusters have (complete linkage) distance of less than . A Greedy Algorithm for Hierarchical Complete Linkage Clustering 27 For the use in big data applications, typical approaches use one of two possible simplifications. First, the clustering methodology can be exchanged into some procedure that leads to a more efficient implementation, such as average linking[14] or Ward clustering[4].

Nucleic Acids Res. 42, D364–D373 (2014) 76. : DOMINE: A database of protein domain interactions. Nucleic Acids Res. 36, D656–D661 (2008) 77. 0: Domain Interaction Map. Nucleic Acids Res. 39, D724–D729 (2011) 78. : MINT, the molecular interaction database: 2012 update. Nucleic Acids Res. 40, D857–D861 (2012) 79. : The IntAct molecular interaction database in 2012. Nucleic Acids Res. 40, D841–D846 (2012) 80. : The MIntAct project–IntAct as a common curation platform for 11 molecular interaction databases.

Adv. Protein Chem. 54, 345–379 (2000) 31. : Who’s your neighbor? New computational approaches for functional genomics. Nat. Biotechnol. 18, 609–613 (2000) 32. : Detecting protein function and protein-protein interactions from genome sequences. Science 285, 751–753 (1999) 33. : A combined algorithm for genome-wide prediction of protein function. Nature 402, 83–86 (1999) 34. : Assigning protein functions by comparative genome analysis: Protein phylogenetic profiles. Proc. Natl. Acad. Sci. USA 96, 4285–4288 (1999) 35.

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Algorithms for Computational Biology: First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedigns by Adrian-Horia Dediu, Carlos Martín-Vide, Bianca Truthe (eds.)

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