POTION an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes

POTION an end-to-end pipeline for positive Darwinian selection detection in genome-scale data through phylogenetic comparison of protein-coding genes

Abstract

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Background

Detection of genes evolving under positive Darwinian evolution in genome-scale information is nowadays a current strategy in relative genomics studies to identify genes potentially associated with adaptation procedures. Despite the many studies l king to detect and contextualize such gene sets, there is without any software open to perform this task in a general, automated, large-scale and manner that is reliable. This undoubtedly does occur as a result of the computational challenges tangled up in this task, like the appropriate modeling of information under analysis, the computation time and energy to perform several of the desired steps whenever dealing with genome-scale data and also the highly error-prone nature regarding the sequence and alignment information structures required for genome-wide selection detection that is positive.

Results

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We current POTION, an available supply, modular and end-to-end pc software for genome-scale detection of g d Darwinian selection in sets of homologous coding sequences. Our computer software represents a key step towards genome-scale, automatic detection of g d selection, from predicted coding sequences and their homology relationships to top-quality groups of definitely selected genes. Read more