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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.

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» SVS 7 Scripting Reference
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» Beginners Guide to Python

Filter by SIFT Synonymous Classification

Author: Gabe Rudy, Golden Helix, Inc.

This script requires the purchase of the Sequence Module to function.

This function scans a marker-mapped spreadsheet with several genotypic columns and investigates the corresponding SIFT marker map synonymous or non-synonymous classifications. The results will be summarized in a spreadsheet output. The user can choose to either inactivate mapped markers classified as synonymous or those classified as non-synonymous. The user can also optionally inactivate mapped markers with no SIFT classification (or non-coding markers).


Filter by SIFT Synonymous Classification.pyc

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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\Select\Filter by Annotation

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 Select menu, Filter by Annotation submenu.


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