Welcome¶
ngs_toolkit
is a Python library for the analysis of NGS data.
Its goals are to provide a highly customizable set of objects and tools that interact with each other to create data processing and analysis workflows in both a interactive and scripted way.
ngs-toolkit
is unique in the following aspects:
Includes tried-and-tested (and published) workflows for end-to-end analysis of NGS data, while at the same time allowing high customization;
Tailored for well-established NGS data types, but supporting arbitrary data types;
Its target audience are mid-level computational biologists who want to “get it done” and focus on interpretation of results. At the same time, it allows running workflows with minimal programming experience.
ngs-toolkit
is reaching maturity, with a stable API (from version 0.14.0 on),
improving documentation and increasing test coverage.
Head to the Installation to see installation instructions, to Usage for quick use, or have a look at the catalogue of available functions in the API.
Links¶
Documentation: http://toolkit.readthedocs.io/
Issues and source code: https://github.com/afrendeiro/toolkit