Unbiased probabilistic taxonomic classification for DNA barcoding

Volume: 32, Issue: 19, Pages: 2920 - 2927
Published: Jun 13, 2016
Abstract
When targeted to a barcoding region, high-throughput sequencing can be used to identify species or operational taxonomical units from environmental samples, and thus to study the diversity and structure of species communities. Although there are many methods which provide confidence scores for assigning taxonomic affiliations, it is not straightforward to translate these values to unbiased probabilities. We present a probabilistic method for...
Paper Details
Title
Unbiased probabilistic taxonomic classification for DNA barcoding
Published Date
Jun 13, 2016
Volume
32
Issue
19
Pages
2920 - 2927
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