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        "description": ".. image:: https://github.com/marcelm/cutadapt/workflows/CI/badge.svg\n    :alt:\n\n.. image:: https://img.shields.io/pypi/v/cutadapt.svg?branch=master\n    :target: https://pypi.python.org/pypi/cutadapt\n    :alt:\n\n.. image:: https://codecov.io/gh/marcelm/cutadapt/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/marcelm/cutadapt\n    :alt:\n\n.. image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat\n    :target: http://bioconda.github.io/recipes/cutadapt/README.html\n    :alt: install with bioconda\n\n\n========\nCutadapt\n========\n\nCutadapt finds and removes adapter sequences, primers, poly-A tails and other\ntypes of unwanted sequence from your high-throughput sequencing reads.\n\nCleaning your data in this way is often required: Reads from small-RNA\nsequencing contain the 3\u2019 sequencing adapter because the read is longer than\nthe molecule that is sequenced. Amplicon reads start with a primer sequence.\nPoly-A tails are useful for pulling out RNA from your sample, but often you\ndon\u2019t want them to be in your reads.\n\nCutadapt helps with these trimming tasks by finding the adapter or primer\nsequences in an error-tolerant way. It can also modify and filter single-end\nand paired-end reads in various ways. Adapter sequences can contain IUPAC\nwildcard characters. Cutadapt can also demultiplex your reads.\n\nCutadapt is available under the terms of the MIT license.\n\nCutadapt development was started at `TU Dortmund University <https://www.tu-dortmund.de>`_\nin the group of `Prof. Dr. Sven Rahmann <https://www.rahmannlab.de/>`_.\nIt is currently being developed within\n`NBIS (National Bioinformatics Infrastructure Sweden) <https://nbis.se/>`_.\n\nIf you use Cutadapt, please cite\n`DOI:10.14806/ej.17.1.200 <http://dx.doi.org/10.14806/ej.17.1.200>`_ .\n\n\nLinks\n-----\n\n* `Documentation <https://cutadapt.readthedocs.io/>`_\n* `Source code <https://github.com/marcelm/cutadapt/>`_\n* `Report an issue <https://github.com/marcelm/cutadapt/issues>`_\n* `Project page on PyPI (Python package index) <https://pypi.python.org/pypi/cutadapt/>`_\n* `Follow @marcelm_ on Twitter <https://twitter.com/marcelm_>`_\n* `Wrapper for the Galaxy platform <https://github.com/galaxyproject/tools-iuc/tree/master/tools/cutadapt>`_\n\n\n",
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