slackbuilds/academic/cutadapt
Petar Petrov 5cf72323c4
academic/cutadapt: Updated for version 1.9.1
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2016-06-05 22:27:53 +07:00
..
README academic/cutadapt: Added (Trim adapters). 2015-03-27 07:54:43 +07:00
cutadapt.SlackBuild academic/cutadapt: Updated for version 1.9.1 2016-06-05 22:27:53 +07:00
cutadapt.info academic/cutadapt: Updated for version 1.9.1 2016-06-05 22:27:53 +07:00
slack-desc academic/cutadapt: Updated for version 1.9.1 2016-06-05 22:27:53 +07:00

README

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

Cutadapt: trim adapters from high-throughput sequencing reads

Cutadapt finds and removes adapter sequences, primers, poly-A tails
and other types of unwanted sequence from your high-throughput
sequencing reads.

Cleaning your data in this way is often required: Reads from small-RNA
sequencing contain the 3 sequencing adapter because the read is
longer than the molecule that is sequenced. Amplicon reads start with
a primer sequence. Poly-A tails are useful for pulling out RNA from
your sample, but often you dont want them to be in your reads.

Cutadapt helps with these trimming tasks by finding the adapter or
primer sequences in an error-tolerant way. It can also modify and
filter reads in various ways. Adapter sequences can contain IUPAC
wildcard characters. Also, paired-end reads and even colorspace data
is supported. If you want, you can also just demultiplex your input
data, without removing adapter sequences at all.

Cutadapt comes with an extensive suite of automated tests and is
available under the terms of the MIT license.

If you use cutadapt, please cite:
Marcel Martin. Cutadapt removes adapter sequences from high-throughput
sequencing reads. EMBnet.journal, 17(1):10-12, May 2011. DOI:
http://dx.doi.org/10.14806/ej.17.1.200