sga - 0.10.15-7+b1 main

The major goal of SGA is to be very memory efficient, which is achieved by
using a compressed representation of DNA sequence reads.
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SGA is a de novo assembler for DNA sequence reads. It is based on Gene Myers'
string graph formulation of assembly and uses the FM-index/Burrows-Wheeler
transform to efficiently find overlaps between sequence reads.