A pipeline for selecting informative genes for phylogenomics analyses
Mattia Giacomelli, Paschalis Natsidis, Maximilian J. Telford, Davide Pisani
Abstract
Mattia Giacomelli, Paschalis Natsidis, Maximilian J. Telford, Davide Pisani
Abstract
A key step to reconstruct accurate phylogenies using whole-genome information is to select those genes that will most likely contain a strong phylogenetic signal. From an initial set of proteomes, we present a pipeline that infers homology relationships among genes and carefully examines each group of homologs to detect which ones contain potentially misleading information. The final result is a curated list of single-gene alignments, that can be used as input to downstream phylogenomic analyses.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A key step to reconstruct accurate phylogenies using whole-genome information is to select those genes that will most likely contain a strong phylogenetic signal. From an initial set of proteomes, we present a pipeline that infers homology relationships among genes and carefully examines each group of homologs to detect which ones contain potentially misleading information. The final result is a curated list of single-gene alignments, that can be used as input to downstream phylogenomic analyses.
Key concepts: Open peer review, Phylogenomics, Plant biology, Computational biology, Biology, Pipeline (software), Neuroscience, Gene