What is Python?

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java. Integrating Python into SVS 7 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.

LD Pairwise Analysis Scripts

Author: Greta Peterson, Golden Helix, Inc.

This script outputs results from LD analysis, both the EM and CHM methods and both R² and D' values. 







Name Description Script Documentation

LD Pairwise Analysis

Calculates LD for all pairs in spreadsheet.

Script

Download Documentation

Documentation

LD Pairwise Analysis within Gene Regions

Calculates LD for all pairs within gene regions, defined by a user-specified gene annotation track.

Script

Download Documentation

Documentation

LD Pairwise Analysis Matrix Output

Calculates LD for all pairs in spreadsheet. Outputs separate spreadsheets for each method and statistic in matrix format.

Script

Download Documentation

Documentation

LD Adjacent Pairs Analysis

Calculates LD for all adjacent pairs in a spreadsheet. Does not do full pairwise comparisons.

Script

Download Documentation

Documentation

Zip file of all LD Analysis Scripts

ALL Scripts and Documentation
(Zip file)

Recommended Directory Location

Need a Custom Script?

Scripts

Need a script and don't feel you have the bioinformatics exptertise to write it yourself? Click the link below to request a custom script and we'll see what we can do to help.

» Request Custom Script

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

Note: Note: The Application Data folder is a hidden folder on Windows operating systems and its location varies between XP and Vista. 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 Analysis menu.

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