FOCUS, an innovative and agile composition based using non-negative least squares to profile and report abundant organisms present in me-tagenomic samples and their relative abundance without sequence length dependencies. The program was tested with simulated and real metagenomes, and the results show that our approach predicts the organisms in random communities.
Availability and implementation: The code implemented in Python can be found here and a web-sever at http://edwards.sdsu.edu/FOCUS.
Dependencies: Jellyfish, Numpy, and Scipy.
Cite FOCUS
Silva, G. G. Z., D. A. Cuevas, B. E. Dutilh, and R. A. Edwards, 2014: FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares. PeerJ, 2, e425,doi:10.7717/peerj.425.
Features
- Metagenomes
- Richness
- Evenness