BASTA – Taxonomic classification of sequences and sequence bins using last common ancestor estimations
- Publication Type:
- Journal Article
- Citation:
- Methods in Ecology and Evolution, 2019, 10 (1), pp. 100 - 103
- Issue Date:
- 2019-01-01
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Kahlke_et_al-2019-Methods_in_Ecology_and_Evolution.pdf | Accepted Manuscript Version | 468.2 kB |
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© 2018 The Authors. Methods in Ecology and Evolution © 2018 British Ecological Society Identification of the taxonomic origin of a DNA sequence is crucial for many sequencing projects, e.g. metagenomics studies, identification of contaminations in whole genome sequencing projects and filtering of organisms of interest in marker-gene based community analyses. Last common ancestor algorithms are powerful approaches to estimate the taxonomy of a given sequence and have been widely used for classification of next-generation sequencing (NGS) reads, also known as 2nd generation sequencing reads. Here, we present BASTA (https://github.com/timkahlke/BASTA), a basic sequence taxonomy annotator, which extends last common ancestor estimations from sequencing reads to any kind of nucleotide or amino acid sequence utilizing NCBI taxonomies of user-defined best hits. BASTA can be configured to use the output of many common sequence comparison tools, e.g. BLAST and Diamond, in conjunction with either provided or user-defined target sequence databases.
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