Skip to main content

A toolkit for navigating and analyzing gene expression datasets

Project description


A toolkit for navigating and analyzing gene expression datasets

Build Status Documentation Status PyPi Status Anaconda-Server Badge DOI

Find documentation here

Development Notes:

XPRESSplot supports Python 2.7 and >=3.5


Berg JA, et. al. (2019). XPRESSyourself: Enhancing and Automating the Ribosome
Profiling and RNA-Seq Analysis Toolkit. bioRxiv 704320; doi:


pip install xpressplot

Other Requirements:

  • Tested on 64-bit Linux, compatible with Mac OS X
  • Python and R are required
  • If PyPi and Conda are not already installed, these should be installed
  • If using the interactive notebook provided, Jupyter needs to be installed if not already


  • Download the repository and modify the interactive Jupyter notebook to get started fast!
  • Read the instructions as you navigate through the code blocks for a guide on how to use the example code
  • Code blocks are run by selecting the block and pressing Shift + Enter
  • See documentation for more detailed instructions

Important Notes:

  • 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
import XPRESSplot as xp
%matplotlib inline
  • Assumes all dataframes are i * j (or genes * samples, except in certain cases, see documentation for help)
>>> geo.head()
name       GSM523242  GSM523243  GSM523244  GSM523245  GSM523246  GSM523247    ...     
GeneA    8.98104    8.59941    8.25395    8.72981    8.70794    8.10693    ...       
GeneB      5.84313    6.59168    8.27881    6.64005    4.65107    7.19090    ...       
GeneC       6.17189    5.73603    5.55673    5.69374    6.77618    5.84524    ...       
GeneD      6.97009    6.80003    5.56620    7.43816    7.36375    5.85687    ...       
GeneE   10.24611   10.13807    8.84743    9.72365   10.42940    9.17510    ...   

[5 rows x 145 columns]   


Information on updates to the software can be found here.

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

XPRESSplot-0.2.5.tar.gz (19.3 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page