MetaCurator: A hidden Markov model‐based toolkit for extracting and curating sequences from taxonomically‐informative genetic markers
Abstract
While metabarcoding and metagenomic approaches are increasingly popular, questions remain about how best to analyse and taxonomically characterize the sequence data produced by such methods. Due to a lack of software infrastructure, important reference sequence curation steps are often ignored. We present MetaCurator, a software package designed for automated reference sequence curation and highly generalizable across markers and study systems....
Paper Details
Title
MetaCurator: A hidden Markov model‐based toolkit for extracting and curating sequences from taxonomically‐informative genetic markers
Published Date
Oct 29, 2019
Volume
11
Issue
1
Pages
181 - 186
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