Calculate Expected P-value

Author: Greta Linse Peterson, Golden Helix, Inc.

This script takes spreadsheet that contains a p-value column and calculates expected p-values for the specified column. It is also optional to export expected –log10 p-values as well.


Calculate Expected P-value.py

Download Documentation Documentation

Recommended Directory Location

Save the script to the following directory:
*..\Application Data\Golden Helix SVS\UserScripts\Spreadsheet\Edit

Note: The Application Data folder is a hidden folder on many operating systems and its location varies between operating systems. The easiest way to locate this directory on your computer is to open SVS and go to Tools >Open Folder > UserScripts Folder. If saved to the proper folder, this script will be accessible from the Spreadsheet Edit menu.


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What is Python?

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Integrating Python into SVS provides full programmatic access to many of the software's features enabling the augmentation of existing tools, creating entirely new ones, automation of work flows, integration with other programs and more.

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