Dec 232013
 

CrunchClust V43

:: DESCRIPTION

Crunchclust is an efficient clustering algorithm that is capable of handling the most common Roche’s 454 sequencing error ( Homopolymers ). It uses Levenshtein distance for sequence comparison during clustering. It is also used successfully for the clustering of Illumina Miseq sequences.

::DEVELOPER

Martin Hartmann , Richard Christen and Dipankar Bachar at University of Nice.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • C++ Compiler

:: DOWNLOAD

  CrunchClust 

:: MORE INFORMATION

Citation:

Hartmann M, Howes CG, VanInsberghe D, Yu H, Bachar D, Christen R, Nilsson RH, Hallam SJ, Mohn WW (2012).
Significant and persistent impact of timber Harvesting on soil microbial communities in Northern coniferous forests.
The ISME Journal 6: 2199-2218.

74 views

Sorry, the comment form is closed at this time.