2019•Unpublished venueOpen access

A pipeline for selecting informative genes for phylogenomics analyses

Mattia Giacomelli, Paschalis Natsidis, Maximilian J. Telford, Davide Pisani

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Open peer review, Phylogenomics, Plant biology, Computational biology, Biology, Pipeline (software), Neuroscience, Gene

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