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
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Windows / MacOsX
- C++ Compiler
:: DOWNLOAD
:: 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.