PRIMUS

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We present a method adapted from graph theory that always identifies the maximum set of unrelated individuals in any dataset, and allows weighting parameters to be utilized in unrelated sample selection. PRIMUS reads in user-generated IBD estimates and outputs the maximum possible set of unrelated individuals, given a specified threshold of relatedness. Additional information for preferential selection of individuals may also be utilized. For example, when there are two equally sized maximum sets of unrelated individuals in a network, PRIMUS can preferentially select the set with more affected individuals.

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Relevant software:
http://students.washington.edu/jeanm5/Simulate_IBD_Python.ta

Features

Identifies maximum unrelated set of individuals from a genetic dataset
Groups samples into family networks
Generates .dot files to visualize family networks

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Additional Project Details

Intended Audience

Healthcare Industry, Science/Research, Education

Programming Language

Perl

Related Categories

Perl Bio-Informatics Software

Registered

2012-03-27

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