Apr 242015
 

FlowerPower

:: DESCRIPTION

FlowerPower is a clustering algorithm designed for the identification of global homologs. It employs an iterative approach to clustering sequences. However, rather than using a single HMM or profile to expand the cluster, FlowerPower identifies subfamilies using the SCI-PHY algorithm and then selects and aligns new homologs using subfamily hidden Markov models. FlowerPower is shown to outperform BLAST, PSI-BLAST and the UCSC SAM-Target 2K methods at discrimination between proteins in the same domain architecture class and those having different overall domain structures.

::DEVELOPER

the Berkeley Phylogenomics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

FlowerPower

:: MORE INFORMATION

Citation

BMC Evol Biol. 2007 Feb 8;7 Suppl 1:S12.
FlowerPower: clustering proteins into domain architecture classes for phylogenomic inference of protein function.
Krishnamurthy N, Brown D, Sjölander K.

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