BioinformaticsBioinformaticsPeer-reviewed journal article
GToTree: a user-friendly workflow for phylogenomics
Abstract
SummaryGenome-level evolutionary inference (i.e., phylogenomics) is becoming an increasingly essential step in many biologists work - such as in the characterization of newly recovered genomes, or in leveraging available reference genomes to guide evolutionary questions. Accordingly, there are several tools available for the major steps in a phylogenomics workflow. But for the biologist whose main focus is not bioinformatics, much of the computational work required - such as accessing genomic data on large scales, integrating genomes from different file formats, performing required filtering, stitching different tools together, etc. - can be prohibitive. Here I introduce GToTree, a command-line tool that can take any combination of fasta files, GenBank files, and/or NCBI assembly accessions as input and outputs an alignment file, estimates of genome completeness and redundancy, and a phylogenomic tree based on the specified singlecopy gene (SCG) set. While GToTree can work with any custom hidden Markov Models (HMMs), also included are 13 newly generated SCG-set HMMs for different lineages and levels of resolution, built based on searches of ~12,000 bacterial and archaeal high-quality genomes. GToTree aims to give more researchers the capability to make phylogenomic trees.\n\nAvailabilityGToTree is open-source and freely available for download from: github.com/AstrobioMike/GToTree\n\nDocumentationgithub.com/AstrobioMike/GToTree/wiki\n\nImplementationGToTree is implemented primarily in bash, with helper scripts written in Python.\n\nContactMike.Lee@nasa.gov
- organism: bacteria (other)
- organism: multiple species
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- approach: experimental assay
- Citations
- 552
- FWCI
- 13.32
- Field percentile
- top 1%
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