Provided by: coop-computing-tools_9.9-2ubuntu5_amd64
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) 2005-2019 The University of Notre Dame. This software is distributed under the GNU General Public License. See the file COPYING for details.
SEE ALSO
• Cooperative Computing Tools Documentation • SAND User Manual • sand_filter_master(1) sand_filter_kernel(1) sand_align_master(1) sand_align_kernel(1) sand_compress_reads(1) sand_uncompress_reads(1) work_queue_worker(1)