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Advanced Complex Trait Analysis
Author(s) -
Alan Gray,
Isobel D. Stewart,
Albert Tenesa
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts571
Subject(s) - computer science , software , mit license , source code , linear algebra , code (set theory) , node (physics) , parallel computing , programming language , mathematics , set (abstract data type) , geometry , structural engineering , engineering
The Genome-wide Complex Trait Analysis (GCTA) software package can quantify the contribution of genetic variation to phenotypic variation for complex traits. However, as those datasets of interest continue to increase in size, GCTA becomes increasingly computationally prohibitive. We present an adapted version, Advanced Complex Trait Analysis (ACTA), demonstrating dramatically improved performance.

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