sand_filter_master(1)

NAME

sand_filter_master - filter sequences for alignment in parallel

SYNOPSIS

sand_filter_master [options] sequences.cfa candidates.cand

DESCRIPTION

sand_filter_master is the first step in the SAND assembler. It reads in a body of sequences, and uses a linear-time algorithm to produce a list of candidate sequences to be aligned in detail by sand_align_master(1).

This program uses the Work Queue system to distributed tasks among processors. After starting sand_filter_master, you must start a number of work_queue_worker(1) processes on remote machines. The workers will then connect back to the master process and begin executing tasks. The actual filtering is performed by sand_filter_kernel(1) on each machine.

OPTIONS

-p <port>
Port number for queue master to listen on. (default: 9123)
-s <size>
Number of sequences in each filtering task. (default: 1000)
-r <file>
A meryl file of repeat mers to be filtered out.
-R <n>
Automatically retry failed jobs up to n times. (default: 100)
-k <size>
The k-mer size to use in candidate selection (default is 22).
-w <size>
The minimizer window size. (default is 22).
-u If set, do not unlink temporary binary output files.
-c <file>
Checkpoint filename; will be created if necessary.
-d <flag>
Enable debugging for this subsystem. (Try -d all to start.)
-F <number>
Work Queue fast abort multiplier. (default is 10.)
-Z <file>
Select port at random and write it out to this file.
-o <file>
Send debugging to this file.
-v Show version string
-h Show this help screen

EXIT STATUS

On success, returns zero. On failure, returns non-zero.

EXAMPLES

If you begin with a FASTA formatted file of reads, used sand_compress_reads(1) to produce a compressed FASTA (cfa) file. To run filtering sequentially, start a single work_queue_worker(1) process in the background. Then, invoke sand_filter_master.
% sand_compress_reads mydata.fasta mydata.cfa
% work_queue_worker localhost 9123 &
% sand_filter_master mydata.cfa mydata.cand
To speed up the process, run more work_queue_worker(1) processes on other machines, or use condor_submit_workers(1) or sge_submit_workers(1) to start hundreds of workers in your local batch system.

COPYRIGHT

The Cooperative Computing Tools are Copyright (C) 2003-2004 Douglas Thain and Copyright (C) 2005-2015 The University of Notre Dame. This software is distributed under the GNU General Public License. See the file COPYING for details.

SEE ALSO


CCTools 6.2.2 FINAL from source released on