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Montoya-Burgos, J. I.

Publications and source records attributed to Montoya-Burgos, J. I..

2 recordsLinked to original sources

LSX: Automated reduction of gene-specific lineage evolutionary rate heterogeneity for multi-gene phylogeny inference

MotivationLS3 is a recently published algorithm to reduce lineage evolutionary rate heterogeneity, a condition that can produce inference artifacts in molecular phylogenetics. The LS3 scripts are Linux-specific and the criterion to reduce lineage rate heterogeneity can be too stringent in datasets with both very long and very short branches.\n\nResultsLSx is a multi-platform user-friendly R script that performs the LS3 algorithm, and has added features in order to make better lineage rate calculations. In addition, we developed and implemented an alternative version of the algorithm, LS4, which reduces lineage rate heterogeneity not only by detecting branches that are too long but also branches that are too short, resulting in less stringent data filtering.\n\nAvailabilityThe LSx script LSx_v.1.1.R and the user manual are available for download at: https://genev.unige.ch/research/laboratory/Juan-Montoya

bioinformatics

PSGfinder: fast identification of genes under divergent positive selection using the dynamic windows method

SummaryOrthologous genes evolving under divergent positive selection are those involved in divergent adaptive trajectories between related species. Current methods to identify such genes are complex and conservative or present some imperfections, limiting genome-wide searches. We present a simple method, Dynamic Windows, to detect regions of protein-coding genes evolving under divergent positive selection. This method is implemented in PSGfinder, a user-friendly and flexible software, allowing rapid genome-wide screenings of regions with a dN/dS >1. PSGfinder additionally includes an alignment cleaning procedure and an adapted multiple comparison correction to identify significant signals of positive selection.\n\nAvailability and ImplementationPSGfinder is a software that implements the DWin method, is written in Python and is freely available with its documentation at: https://genev.unige.ch/research/laboratory/Juan-Montoya or at: https://github.com/joel-tuberosa/psgfinder\n\nContactjuan.montoya@unige.ch; joel.tuberosa@unige.ch

bioinformatics