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solarius: an R interface to SOLAR for variance component analysis in pedigrees
Author(s) -
Andrey Ziyatdinov,
Héléna Brunel,
Ángel Martínez-Pérez,
Alfonso Buil,
Alexandre Perera-Lluna,
José Manuel Soria
Publication year - 2016
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/btw080
Subject(s) - pedigree chart , computer science , disk formatting , exploit , component (thermodynamics) , software , linkage (software) , variance (accounting) , quantitative trait locus , data mining , computational statistics , interface (matter) , machine learning , biology , genetics , operating system , bubble , maximum bubble pressure method , gene , business , thermodynamics , computer security , physics , accounting
: The open source environment R is one of the most widely used software for statistical computing. It provides a variety of applications including statistical genetics. Most of the powerful tools for quantitative genetic analyses are stand-alone free programs developed by researchers in academia. SOLAR is one of the standard software programs to perform linkage and association mappings of the quantitative trait loci (QTLs) in pedigrees of arbitrary size and complexity. solarius allows the user to exploit the variance component methods implemented in SOLAR. It automates such routine operations as formatting pedigree and phenotype data. It parses also the model output and contains summary and plotting functions for exploration of the results. In addition, solarius enables parallel computing of the linkage and association analyses that makes the calculation of genome-wide scans more efficient.

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