sga-astat - Compute Myers' a-statistic for a set of contigs using the read alignments in in.bam
Contents
Description
The major goal of SGA is to be very memory efficient, which is achieved by using a compressed
representation of DNA sequence reads.
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.
Name
sga-astat - Compute Myers' a-statistic for a set of contigs using the read alignments in in.bam
Options
-m=INT only compute a-stat for contigs at least INT bases in length
-b=INT use the longest INT contigs to perform the initial estimate of the arrival rate (default: 20)
-n=INT perform INT bootstrap iterations of the estimate
-g=INT use INT as the genome size instead of estimating it
--no-duplicates
do not use duplicate reads to calculate statistics
Synopsis
sga-astat[options]<in.bam>
