Skip to main content

trim adapters from high-throughput sequencing reads

Project description

![https://travis-ci.org/jdidion/atropos](https://travis-ci.org/jdidion/atropos.svg?branch=master) ![https://pypi.python.org/pypi/atropos](https://img.shields.io/pypi/v/atropos.svg?branch=master)

# Atropos

Atropos is tool for specific, sensitive, and speedy trimming of NGS reads. It is a fork of the venerable Cutadapt read trimmer (https://github.com/marcelm/cutadapt, [DOI:10.14806/ej.17.1.200](http://dx.doi.org/10.14806/ej.17.1.200)), with the primary improvements being:

  1. Multi-threading support that has been optimized for different parallel computing environments.

  2. Options for trimming specific types of data (miRNA, bisulfite).

  3. The ability (currently limited) to merge overlapping reads.

  4. The ability to write the summary report and log messages to separate files.

  5. The ability to write interleaved FASTQ output.

  6. A progress bar, and other minor usability enhancements.

## Dependencies

  • Python 3.3+

  • Cython 0.24+ (pip install Cython)

## Installation

pip install atropos

## Usage

Atropos is fully backward-compatible with cutadapt. If you currently use cutadapt, you can simply install Atropos and then substitute the executable name in your command line. For example:

`{r} atropos -a AGATCGGAAGAGCACACGTCTGAACTCCAGTCACGAGTTA -o trimmed.fq.gz reads.fq.gz `

To take advantage of multi-threading, set the –threads option:

` {r} atropos --threads 8 -a AGATCGGAAGAGCACACGTCTGAACTCCAGTCACGAGTTA -o trimmed.fq.gz reads.fq.gz `

See the [Documentation](https://atropos.readthedocs.org/) for more complete usage information.

## Links

## Planned enhancments

  • Implement an autodetect option for adapters similar to TrimGalore: read the first 1M reads, search for common adapters, and pick the one that appears most frequently.

## Citations

The citation for the original Cutadapt paper is:

> Marcel Martin. “Cutadapt removes adapter sequences from high-throughput sequencing reads.” EMBnet.Journal, 17(1):10-12, May 2011. http://dx.doi.org/10.14806/ej.17.1.200

A manuscript for Atropos is currently in preparation. For now, you can cite it as:

> John P Didion. “Atropos.” 2016. https://github.com/jdidion/atropos

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atropos-1.0.tar.gz (265.1 kB view details)

Uploaded Source

File details

Details for the file atropos-1.0.tar.gz.

File metadata

  • Download URL: atropos-1.0.tar.gz
  • Upload date:
  • Size: 265.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for atropos-1.0.tar.gz
Algorithm Hash digest
SHA256 25fa37d365bd49b6be4bf1287c2f48833bd7b1100187f056b284f93d2f86b15f
MD5 5394c727fe897902c7d2fed50edc8cf6
BLAKE2b-256 24a59c754440139b48733dce719ec7675655dfa0f25e237621db914dac61c25e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page