GADIST – Determine Best Distance Metric for Genome Analysis

GADIST

:: DESCRIPTION

GADIST is a software of Computing Generalized-Average Based Distances. Many popular distances used for comparing binary vectors belong to the generalized-average (GA) family of distances (see this paper : Glazko, Gordon and Mushegian. The choice of optimal distance measure in genome-wide data sets. 2005. Bioinformatics for more detail). GADIST.r produces distances with any given value of the crucial lambda parameter, and computes the first four moments of their distributions. This is useful when choosing the appropriate distance measure for genome analysis

Advertisement

::DEVELOPER

Bioinformatics Center and IT Group @ Stowers Institute for Medical Research

:: REQUIREMENTS

:: DOWNLOAD

 GADIST

:: MORE INFORMATION

Citation

Galina Glazko, Alexander Gordon and Arcady Mushegian
The choice of optimal distance measure in genome-wide datasets
Bioinformatics (2005) 21 (Suppl 3): iii3-iii11

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.