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sample_fastx-txt ================ `sample_fastx-txt.pl` is a script to randomly subsample FASTA, FASTQ, or TEXT files. * [Synopsis](#synopsis) * [Description](#description) * [Usage](#usage) * [Subsample paired-end read data and retain pairing](#subsample-paired-end-read-data-and-retain-pairing) * [Subsample TEXT file and skip three header lines during subsampling](#subsample-text-file-and-skip-three-header-lines-during-subsampling) * [Subsample TEXT file and remove two header lines for final output](#subsample-text-file-and-remove-two-header-lines-for-final-output) * [Options](#options) * [Mandatory options](#mandatory-options) * [Optional options](#optional-options) * [Output](#output) * [Run environment](#run-environment) * [Author - contact](#author---contact) * [Acknowledgements](#acknowledgements) * [Citation, installation, and license](#citation-installation-and-license) * [Changelog](#changelog) ## Synopsis perl sample_fastx-txt.pl -i infile.fasta -n 100 > subsample.fasta **or** zcat reads.fastq.gz | perl sample_fastx-txt.pl -i - -n 100000 > subsample.fastq ## Description Randomly subsample FASTA, FASTQ, and TEXT files. Empty lines in the input files will be skipped and not included in sampling. Format TEXT assumes one entry per single line. FASTQ format assumes **four** lines per read, if this is not the case run the FASTQ file through [`fastx_fix.pl`](/fastx_fix) or use Heng Li's [`seqtk seq`](https://github.com/lh3/seqtk): seqtk seq -l 0 infile.fq > outfile.fq The file type is detected automatically. However, if automatic detection fails, TEXT format is assumed. As a last resort, you can set the file type manually with option **-f**. This script is an implementation of the *reservoir sampling* algorithm (or *Algorithm R (3.4.2)*) described in Donald Knuth's [*The Art of Computer Programming*](https://en.wikipedia.org/wiki/The_Art_of_Computer_Programming). It is designed to randomly pull a small sample size from a (potential) huge input file of indeterminate size, which (potentially) doesn't fit into main memory. The beauty of reservoir sampling is that it requires only one pass through the input file. The memory consumption of the algorithm is proportional to the sample size, thus large sample sizes will consume lots of memory as the whole sample will be held in memory. On the other hand, the size of the initial file is irrelevant. An alternative tool, which is a lot faster, is `seqtk sample` from the [*seqtk toolkit*](https://github.com/lh3/seqtk>). ## Usage ### Subsample paired-end read data and retain pairing perl sample_fastx-txt.pl -i read-pair_1.fq -n 1000000 -s 123 > sub-pair_1.fq perl sample_fastx-txt.pl -i read-pair_2.fq -n 1000000 -s 123 > sub-pair_2.fq ### Subsample TEXT file and skip three header lines during subsampling perl sample_fastx-txt.pl -i infile.txt -n 100 -f text -t 3 > subsample.txt ### Subsample TEXT file and remove two header lines for final output perl sample_fastx-txt.pl -i infile.txt -n 350 -t 2 | sed '1,2d' > sub_no-header.txt ## Options ### Mandatory options - -i, -input Input FASTA/Q or TEXT file, or piped *STDIN* (-) - -n, -num Number of entries/reads to subsample ### Optional options - -h, -help Help (perldoc POD) - -f, -file_type Set the file type manually [fasta|fastq|text] - -s, -seed Set starting random seed. For **paired-end** read data use the **same random seed** for both FASTQ files with option **-s** to retain pairing (see [Subsample paired-end read data and retain pairing](#subsample-paired-end-read-data-and-retain-pairing) above). - -t, -title_skip Skip the specified number of header lines in TEXT files before subsampling and append them again afterwards. If you want to get rid of the header as well, pipe the subsample output to [`sed`](https://www.gnu.org/software/sed/manual/sed.html) (see `man sed` and [Subsample TEXT file and remove two header lines for final output](#subsample-text-file-and-remove-two-header-lines-for-final-output) above). - -v, -version Print version number to *STDERR* ## Output - *STDOUT* The subsample of the input file is printed to *STDOUT*. Redirect or pipe into another tool as needed. ## Run environment The Perl script runs under Windows and UNIX flavors. ## Author - contact Andreas Leimbach (aleimba[at]gmx[dot]de; Microbial Genome Plasticity, Institute of Hygiene, University of Muenster) ## Acknowledgements I got the idea for reservoir sampling from Sean Eddy's keynote at the Janelia meeting on [*High Throughput Sequencing for Neuroscience*](http://cryptogenomicon.wordpress.com/2014/11/01/high-throughput-sequencing-for-neuroscience/) which he posted in his blog [*Cryptogenomicon*](http://cryptogenomicon.wordpress.com/). The [*Wikipedia article*](https://en.wikipedia.org/wiki/Reservoir_sampling) and the [*PerlMonks*](http://www.perlmonks.org/index.pl?node_id=177092) implementation helped a lot, as well. ## Citation, installation, and license For [citation](https://github.com/aleimba/bac-genomics-scripts#citation), [installation](https://github.com/aleimba/bac-genomics-scripts#installation-recommendations), and [license](https://github.com/aleimba/bac-genomics-scripts#license) information please see the repository main [*README.md*](https://github.com/aleimba/bac-genomics-scripts/blob/master/README.md). ## Changelog - v0.1 (18.11.2014)