BioKanga Publisher's description
A suite of high performance bioinformatics applications targeting the challenges of next generation sequencing analytics.
A suite of high performance bioinformatics applications targeting the challenges of next generation sequencing analytics. Kanga is an acronym standing for 'K-mer Adaptive Next Generation Aligner' and is the primary application.
BioKanga is a highly efficient short-read aligner that incorporates an empirically derived understanding of sequence uniqueness within a target genome to enable robust alignment of next generation sequencer short read datasets in either colorspace (ABI SOLiD) or basespace (Illumina). Compared with other widely used aligners, BioKanga provides substantial gains in both the proportion and quality of aligned sequence reads at competitive or increased computational efficiency. Unlike most other aligners, BioKanga utilises Hamming distances between putative alignments to the targeted genome assembly for any given read as the discrimative acceptance criteria rather than relying on sequencer sourced quality scores.
Kangadna is the primary component of an additional two part toolkit targeted towards the de Novo assembly of NGS short read datasets. The secondary component, kangahrdx ( K-mer Adaptive Next Gen Aligner Homozygosity Reduction) is primarily targeted towards RNA-seq transcriptomics whereby transcript isoforms result in many assembled contigs sharing regions of high identity most likely constituent exons.
What's New in This Release:alignment result native support for BAM and associated BAI index files
limit on the number of contigs which can be indexed increased to 100 million
option to report orphan ends as SE alignments when processing PE alignments
Windows Visual Studio 2012 x64 native compilation
System Requirements:No special requirements.
Program Release Status: Major Update
Program Install Support: Install and Uninstall