Abstract
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
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.Continue reading