Andrey Ziyatdinov1, Helena Brunel1, Angel Martinez-Perez1, Alfonso Buil2, Alexandre Perera3, Jose Manuel Soria1. 1. Unitat De Genòmica De Malalties Complexes, Institut D'investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain. 2. Department of Genetics Medicine and Development, University of Geneva Medical School, Geneva, Switzerland. 3. B2SLab, Department ESAII, Universitat Politècnica De Catalunya, Barcelona, Spain CIBER in Bioengineering Biomaterials and Nanomedicine, Barcelona, Spain.
Abstract
UNLABELLED: : 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. AVAILABILITY AND IMPLEMENTATION: solarius is available on CRAN and on GitHub https://github.com/ugcd/solarius CONTACT: : aziyatdinov@santpau.cat.
UNLABELLED: : 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. AVAILABILITY AND IMPLEMENTATION: solarius is available on CRAN and on GitHub https://github.com/ugcd/solarius CONTACT: : aziyatdinov@santpau.cat.
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