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        "author": "Rickard Sjogren",
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            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "# doepipeline\n\nThis is yet another pipeline package. What distinguishes `doepipeline` is\nthat it enables pipeline optimization using methodologies from statistical\n[Design of Experiments (DOE)](https://en.wikipedia.org/wiki/Design_of_experiments).\n\n# Features\n* Community developed: Users are welcome to contribute to add additional funtionality.  .\n* Installation: Easy installation through [conda](http://conda-forge.org/) or [PyPI](https://pypi.org/).\n* Generic: The optimization is useful for all kinds of CLI applications.\n\n\n# Quick start links\nTake a look at the [wiki documentation](https://github.com/clicumu/doepipeline/wiki) to getting started using doepipeline. Briefly, the following steps are needed to start using doepipeline.\n\n1. [Install doepipeline](https://github.com/clicumu/doepipeline/wiki/Installation)\n2. [Create configuration file](https://github.com/clicumu/doepipeline/wiki/Configuration-file)\n3. [Run optimization](https://github.com/clicumu/doepipeline/wiki/Usage)\n\nFour example cases (including data and configuration) are provided to as help getting started; \n1) [de-novo genome assembly](https://github.com/clicumu/doepipeline/wiki/Case-1)\n2) [scaffolding of a fragmented genome assembly](https://github.com/clicumu/doepipeline/wiki/Case-2)\n3) [k-mer taxonomic classification of ONT MinION reads](https://github.com/clicumu/doepipeline/wiki/Case-3) \n4) [genetic variant calling](https://github.com/clicumu/doepipeline/wiki/Case-4)\n\n\n# Cite\n__doepipeline: a systematic approach for optimizing multi-level and multi-step data processing workflows__ Svensson D, Sj\u00f6gren R, Sundell D, Sj\u00f6din A, Trygg J BioRxiv doi: https://doi.org/10.1101/504050\n\n# About this software\ndoepipeline is implemented as a Python package. It is open source software made available\nunder the [MIT license](LICENSE).\n\nIf you experience any difficulties with this software, or you have suggestions, or want\nto contribute directly, you have the following options:\n\n- submit a bug report or feature request to the \n  [issue tracker](https://github.com/clicumu/doepipeline/issues)\n- contribute directly to the source code through the \n  [github](https://github.com/clicumu/doepipeline) repository. 'Pull requests' are\n  especially welcome.",
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