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Titlebook: Bioinformatics Research and Applications; 12th International S Anu Bourgeois,Pavel Skums,Alex Zelikovsky Conference proceedings 2016 Spring

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An Efficient Algorithm for Finding All Pairs ,-Mismatch Maximal Common Substringscations in DNA sequence clustering and assembly. Due to errors made by sequencers, algorithms that can accommodate a small number of differences are of particular interest, but obtaining provably efficient solutions for such problems has been elusive. In this paper, we present a provably efficient a
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FSG: Fast String Graph Construction for De Novo Assembly of Reads Dataverlap-layout-consensus paradigm. In this paper, we explore a novel approach to compute the string graph, based on the FM-index and Burrows-Wheeler Transform (BWT). We describe a simple algorithm that uses only the FM-index representation of the collection of reads to construct the string graph, wit
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OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Readsutation callers are developed, it is still difficult to detect mutations with low allele frequency even in exome sequencing. We expect that overlapping paired-end read information is effective for this purpose, but no mutation caller has modeled overlapping information statistically in a proper form
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HapIso: An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecrotocols generate multi-kilobase reads longer than most transcripts allowing sequencing of complete haplotype isoforms. This allows partitioning the reads into two parental haplotypes. While the read length of the single-molecule protocols is long, the relatively high error rate limits the ability t
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Genome-Wide Structural Modeling of Protein-Protein Interactionsiology and medicine. The number of protein interactions in a genome is significantly larger than the number of individual proteins. Most protein structures have to be models of limited accuracy. The structure-based methods for building the network of protein interactions have to be fast and insensit
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Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sensnscriptional control, especially in stress response processes. The aim of our work is to study gene networks, with the particularity to integrate in the process anti-sense transcripts. In this paper, we first present a method that highlights the importance of taking into account anti-sense data into
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