Musket 1.1 – Parallel and Scalable Multistage K-mer Spectrum based Error Corrector for Illumina Sequence data

Musket 1.1

:: DESCRIPTION

Musket is an efficient multistage k-mer based corrector for Illumina short read data. This corrector employs the k-mer spectrum approach and introduces three correction techniques in a multistage workflow. Our performance evaluation results, in terms of correction quality and de novo genome assembly measures, reveal that Musket is consistently one of the top performing substitution-error-based correctors. In addition, Musket is multi-threaded using a master-slave model and demonstrates superior parallel scalability compared to all other evaluated correctors as well as a highly competitive overall execution time.

::DEVELOPER

Yongchao Liu, Dr.

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux

:: DOWNLOAD

 Musket

:: MORE INFORMATION

Citation

Yongchao Liu, Jan Schroeder and Bertil Schmidt:
Musket: a multistage k-mer spectrum based error corrector for Illumina sequence data“.
Bioinformatics, 2013, 29(3): 308-315