See the wiki page for more details, including usage examples and installation instructions.
usage: mp_inference.py [-h] -n N [-m {replicates,contrast}] [-r RES] [-c CM]
[-t FILTER] [-np] [-o OUTFILE] [-v]
countfile [countfile ...]
Multipool: Efficient multi-locus genetic mapping with pooled sequencing,
version 0.10.2. See http://cgs.csail.mit.edu/multipool/ for more details.
positional arguments:
countfile Input file[s] of allele counts
optional arguments:
-h, --help show this help message and exit
-n N, --individuals N
Individuals in each pool (required)
-m {replicates,contrast}, --mode {replicates,contrast}
Mode for statistical testing. Default: replicates
-r RES, --resolution RES
Bin size for discrete model. Default: 100 bp
-c CM, --centimorgan CM
Length of a centimorgan, in base pairs. Default: 3300
(yeast average)
-t FILTER, --truncate FILTER
Truncate possibly fixated (erroneous) markers.
Default: true
-np, --noPlot Turn off plotting output.. Default: false
-o OUTFILE, --output OUTFILE
Output file for bin-level statistics
-v, --version show program's version number and exit
A whitespace delimited file with a row for each marker (SNP or small indel). The first column reports the locus position in base pairs (used with the --centimorgan parameter to compute crossover probabilities). The second column reports the number of sequencing reads from the first analyzed strain and the third column reports the read count from the second strain.