Skip to main content

A toolkit for navigating and analyzing gene expression datasets

Project description

XPRESSplot

A toolkit for navigating and analyzing gene expression datasets

Build Status Documentation Status codecov.io PyPi Status Anaconda-Server Badge DOI

Find documentation here

Development Notes:

XPRESSplot supports Python 2.7 and >=3.5

Citation:

Berg JA, et. al. (2019). XPRESSyourself: Enhancing and Automating the Ribosome
Profiling and RNA-Seq Analysis Toolkit. bioRxiv 704320; doi: https://doi.org/10.1101/704320

Installation:

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

QuickStart:

  • 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]   

Updates

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.

Files for XPRESSplot, version 0.2.5
Filename, size File type Python version Upload date Hashes
Filename, size XPRESSplot-0.2.5.tar.gz (19.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page