CLEVER: clique-enumerating variant finder

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CLEVER: clique-enumerating variant finder

MOTIVATION Next-generation sequencing techniques have facilitated a large-scale analysis of human genetic variation. Despite the advances in sequencing speed, the computational discovery of structural variants is not yet standard. It is likely that many variants have remained undiscovered in most sequenced individuals. RESULTS Here, we present a novel internal segment size based approach, whi...

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MATE-CLEVER: Mendelian-inheritance-aware discovery and genotyping of midsize and long indels

MOTIVATION Accurately predicting and genotyping indels longer than 30 bp has remained a central challenge in next-generation sequencing (NGS) studies. While indels of up to 30 bp are reliably processed by standard read aligners and the Genome Analysis Toolkit (GATK), longer indels have still resisted proper treatment. Also, discovering and genotyping longer indels has become particularly releva...

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CLEVER MATERIAL FOR CLEVER SENSORS Spider Mechanoreceptors

The importance of sensory information for the guidance of animal behavior is reflected by a fascinating wealth of sensory organs. These exhibit an enormous variety due to different evolutionary potentials and needs of individual species. All sensory organs and their neuronal pathways have to be tuned to the reception and perception of the biologically relevant stimulus patterns as they occur in...

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Enumerating Maximal Clique Sets with K-plex Constraint by using Meta-cliques

Many variants of pseudo-cliques have been introduced as relaxation models of cliques to detect communities in real world networks. For most types of pseudo-cliques, enumeration algorithms can be designed just similar to maximal clique enumerator. However, the problem of enumerating pseudo-cliques are computationally hard, because the number of maximal pseudo-cliques is huge in general. Furtherm...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2012

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/bts566