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        "description": "# ![XPRESSplot](https://raw.githubusercontent.com/XPRESSyourself/XPRESSplot/master/docs/content/xpressplot.png)\n\n\n### A toolkit for navigating and analyzing gene expression datasets\n\n[![Build Status](https://travis-ci.org/XPRESSyourself/XPRESSplot.svg?branch=master)](https://travis-ci.org/XPRESSyourself/XPRESSplot)\n[![Documentation Status](https://readthedocs.org/projects/xpressplot/badge/?version=latest)](https://xpressplot.readthedocs.io/en/latest/?badge=latest)\n[![codecov.io](https://codecov.io/gh/XPRESSyourself/XPRESSplot/XPRESSplot.svg?branch=master)](https://codecov.io/gh/XPRESSyourself/XPRESSplot)\n[![PyPi Status](https://img.shields.io/pypi/v/XPRESSplot.svg)](https://pypi.org/project/XPRESSplot/)\n[![Anaconda-Server Badge](https://anaconda.org/bioconda/xpressplot/badges/version.svg)](https://anaconda.org/bioconda/xpressplot)\n[![DOI](https://zenodo.org/badge/170940002.svg)](https://zenodo.org/badge/latestdoi/170940002)\n\n##### Find documentation [here](https://xpressplot.readthedocs.io/en/latest/)\n\n-----\n\n### Development Notes:     \nXPRESSplot supports Python 2.7 and >=3.5   \n\n### Citation:       \n```\nBerg JA, et. al. (2019). XPRESSyourself: Enhancing and Automating the Ribosome\nProfiling and RNA-Seq Analysis Toolkit. bioRxiv 704320; doi: https://doi.org/10.1101/704320\n```\n\n### Installation:   \n```\npip install xpressplot\n```\n\n### Other Requirements:\n- Tested on 64-bit Linux, compatible with Mac OS X\n- Python and R are required\n- If [PyPi](https://pip.pypa.io/en/stable/installing/) and [Conda](https://conda.io/projects/conda/en/latest/user-guide/install/index.html?highlight=conda) are not already installed, these should be installed\n- If using the interactive notebook provided, Jupyter needs to be [installed](https://jupyter.org/install) if not already\n\n### QuickStart:   \n- Download the repository and modify the [interactive Jupyter notebook](https://github.com/XPRESSyourself/XPRESSplot/blob/master/example_notebook.ipynb) to get started fast!   \n- Read the instructions as you navigate through the code blocks for a guide on how to use the example code   \n- Code blocks are run by selecting the block and pressing Shift + Enter   \n- See [documentation](https://xpressplot.readthedocs.io/en/latest/) for more detailed instructions   \n\n### Important Notes:    \n* If working with XPRESSplot within an interactive notebook (i.e. Jupyter Notebook, Atom Hydrogen, etc), you must include the following line of code after importing XPRESSplot\n\n```\nimport XPRESSplot as xp\n%matplotlib inline\n```\n\n* Assumes all dataframes are i * j (or genes * samples, except in certain cases, see [documentation](https://xpressplot.readthedocs.io/en/latest/content/general-usage.html) for help)    \n\n```\n>>> geo.head()\nname       GSM523242  GSM523243  GSM523244  GSM523245  GSM523246  GSM523247    ...     \nGeneA    8.98104    8.59941    8.25395    8.72981    8.70794    8.10693    ...       \nGeneB      5.84313    6.59168    8.27881    6.64005    4.65107    7.19090    ...       \nGeneC       6.17189    5.73603    5.55673    5.69374    6.77618    5.84524    ...       \nGeneD      6.97009    6.80003    5.56620    7.43816    7.36375    5.85687    ...       \nGeneE   10.24611   10.13807    8.84743    9.72365   10.42940    9.17510    ...   \n\n[5 rows x 145 columns]   \n```\n\n### Updates\nInformation on updates to the software can be found [here](https://github.com/XPRESSyourself/XPRESSplot/releases).",
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