SLICEMBLER – Meta-assembler Designed for Ultra-deep Sequencing data

SLICEMBLER

:: DESCRIPTION

SLICEMBLER is a meta-assembler designed for ultra-deep sequencing data

:: DEVELOPER

the algorithm and computational biology lab, university of California

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / windows/ MacOsX
  • Python

:: DOWNLOAD

 SLICEMBLER

:: MORE INFORMATION

Citation

De novo meta-assembly of ultra-deep sequencing data.
Mirebrahim H, Close TJ, Lonardi S.
Bioinformatics. 2015 Jun 15;31(12):i9-i16. doi: 10.1093/bioinformatics/btv226.

VICUNA 1.1 – de novo Assembler for Ultra-deep Sequence data

VICUNA 1.1

:: DESCRIPTION

VICUNA is a de novo assembly program targeting populations with high mutation rates. It creates a single linear representation of the mixed population on which intra-host variants can be mapped. For clinical samples rich in contamination (e.g., >95%), VICUNA can leverage existing genomes, if available, to assemble only target-alike reads. After initial assembly, it can also use existing genomes to perform guided merging of contigs. For each data set (e.g., Illumina paired read, 454), VICUNA outputs consensus sequence(s) and the corresponding multiple sequence alignment of constituent reads.

::DEVELOPER

Computational R&D, The Broad Institute, Cambridge, MA

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 VICUNA

:: MORE INFORMATION

Citation

Xiao Yang, Patrick Charlebois, Sante Gnerre, Matthew G Coole, Niall J. Lennon, Joshua Z. Levin, James Qu, Elizabeth M. Ryan, Michael C. Zody, and Matthew R. Henn (2012)
De novo assembly of highly diverse viral populations.
BMC Genomics 13:475.