FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares
Publication year
2014Source
PeerJ, 2, (2014), pp. e425ISSN
Publication type
Article / Letter to editor
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Organization
CMBI
Journal title
PeerJ
Volume
vol. 2
Page start
p. e425
Subject
Radboudumc 14: Tumours of the digestive tract RIMLS: Radboud Institute for Molecular Life SciencesAbstract
One of the major goals in metagenomics is to identify the organisms present in a microbial community from unannotated shotgun sequencing reads. Taxonomic profiling has valuable applications in biological and medical research, including disease diagnostics. Most currently available approaches do not scale well with increasing data volumes, which is important because both the number and lengths of the reads provided by sequencing platforms keep increasing. Here we introduce FOCUS, an agile composition based approach using non-negative least squares (NNLS) to report the organisms present in metagenomic samples and profile their abundances. FOCUS was tested with simulated and real metagenomes, and the results show that our approach accurately predicts the organisms present in microbial communities. FOCUS was implemented in Python. The source code and web-sever are freely available at http://edwards.sdsu.edu/FOCUS.
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- Academic publications [238426]
- Electronic publications [122508]
- Faculty of Medical Sciences [90358]
- Open Access publications [97504]
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