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Unbiased taxonomic annotation of metagenomic samples

Author
Fosso, B.; Pesole, G.; Rosselló, F. A.; Valiente, G.
Type of activity
Journal article
Journal
Journal of computational biology
Date of publication
2018-03
Volume
25
Number
3
First page
348
Last page
360
DOI
https://doi.org/10.1089/cmb.2017.0144 Open in new window
Repository
http://hdl.handle.net/2117/117077 Open in new window
URL
https://www.liebertpub.com/doi/10.1089/cmb.2017.0144 Open in new window
Abstract
The classification of reads from a metagenomic sample using a reference taxonomy is usually based on first mapping the reads to the reference sequences and then classifying each read at a node under the lowest common ancestor of the candidate sequences in the reference taxonomy with the least classification error. However, this taxonomic annotation can be biased by an imbalanced taxonomy and also by the presence of multiple nodes in the taxonomy with the least classification error for a given re...
Citation
Fosso, B., Pesole, G., Rosselló, F. A., Valiente, G. Unbiased taxonomic annotation of metagenomic samples. "Journal of computational biology", Març 2018, vol. 25, núm. 3, p. 348-360.
Keywords
Classification, Correlation, Metagenomics, Set cover, Taxonomic annotation
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

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