Rxivist logo

FOCUS2: agile and sensitive classification of metagenomics data using a reduced database

By Genivaldo Gueiros Z. Silva, Bas E. Dutilh, Robert A Edwards

Posted 31 Mar 2016
bioRxiv DOI: 10.1101/046425

Summary: Metagenomics approaches rely on identifying the presence of organisms in the microbial community from a set of unknown DNA sequences. Sequence classification has valuable applications in multiple important areas of medical and environmental research. Here we introduce FOCUS2, an update of the previously published computational method FOCUS. FOCUS2 was tested with 10 simulated and 543 real metagenomes demonstrating that the program is more sensitive, faster, and more computationally efficient than existing methods. Availability: The Python implementation is freely available at https://edwards.sdsu.edu/FOCUS2.

Download data

  • Downloaded 926 times
  • Download rankings, all-time:
    • Site-wide: 19,014 out of 117,931
    • In bioinformatics: 2,384 out of 9,553
  • Year to date:
    • Site-wide: 101,169 out of 117,931
  • Since beginning of last month:
    • Site-wide: 99,243 out of 117,931

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)