parallel_pick_otus_uclust_ref.py – Parallel pick otus using uclust_ref
Description:
This script works like the pick_otus.py script, but is intended to make use of multicore/multiprocessor environments to perform analyses in parallel.
Usage: parallel_pick_otus_uclust_ref.py [options]
Input Arguments:
Note
[REQUIRED]
- -i, --input_fasta_fp
- Full path to input_fasta_fp
- -o, --output_dir
- Path to store output files
- -r, --refseqs_fp
- Full path to reference collection
[OPTIONAL]
- -s, --similarity
- Sequence similarity threshold [default: 0.97]
- -z, --enable_rev_strand_match
- Enable reverse strand matching for uclust otu picking, will double the amount of memory used. [default: False]
- -A, --optimal_uclust
- Pass the –optimal flag to uclust for uclust otu picking. [default: False]
- -E, --exact_uclust
- Pass the –exact flag to uclust for uclust otu picking. [default: False]
- --max_accepts
- Max_accepts value to uclust and uclust_ref [default: 20]
- --max_rejects
- Max_rejects value to uclust and uclust_ref [default: 500]
- --stepwords
- Stepwords value to uclust and uclust_ref [default: 20]
- --word_length
- W value to uclust and uclust_ref [default: 12]
- --uclust_stable_sort
- Deprecated: stable sort enabled by default, pass –uclust_suppress_stable_sort to disable [default: True]
- --suppress_uclust_stable_sort
- Don’t pass –stable-sort to uclust [default: False]
- -d, --save_uc_files
- Enable preservation of intermediate uclust (.uc) files that are used to generate clusters via uclust. [default: True]
- --uclust_otu_id_prefix
- OTU identifier prefix (string) for the de novo uclust OTU picker [default: None, OTU ids are ascending integers]
- -O, --jobs_to_start
- Number of jobs to start [default: 4]
- -R, --retain_temp_files
- Retain temporary files after runs complete (useful for debugging) [default: False]
- -S, --suppress_submit_jobs
- Only split input and write commands file - don’t submit jobs [default: False]
- -T, --poll_directly
- Poll directly for job completion rather than running poller as a separate job. If -T is specified this script will not return until all jobs have completed. [default: False]
- -U, --cluster_jobs_fp
- Path to cluster jobs script (defined in qiime_config) [default: start_parallel_jobs.py]
- -W, --suppress_polling
- Suppress polling of jobs and merging of results upon completion [default: False]
- -X, --job_prefix
- Job prefix [default: descriptive prefix + random chars]
- -Z, --seconds_to_sleep
- Number of seconds to sleep between checks for run completion when polling runs [default: 1]
Output:
The output consists of two files (i.e. seqs_otus.txt and seqs_otus.log). The .txt file is composed of tab-delimited lines, where the first field on each line corresponds to an OTU identifier which is the reference sequence identifier, and the remaining fields correspond to sequence identifiers assigned to that OTU. The resulting .log file contains a list of parameters passed to this script along with the output location of the resulting .txt file.
Example:
Pick OTUs by searching $PWD/inseqs.fasta against $PWD/refseqs.fasta with reference-based uclust and write the output to the $PWD/blast_otus/ directory. This is a closed-reference OTU picking process. ALWAYS SPECIFY ABSOLUTE FILE PATHS (absolute path represented here as $PWD, but will generally look something like /home/ubuntu/my_analysis/).
parallel_pick_otus_uclust_ref.py -i $PWD/seqs.fna -r $PWD/refseqs.fna -o $PWD/ucref_otus/