Journal article
GAPIT: genome association and prediction integrated tool
Bioinformatics (Oxford, England), Vol.28(18), pp.2397-2399
09/15/2012
Handle:
https://hdl.handle.net/2376/101831
PMID: 22796960
Abstract
Software programs that conduct genome-wide association studies and genomic prediction and selection need to use methodologies that maximize statistical power, provide high prediction accuracy and run in a computationally efficient manner. We developed an R package called Genome Association and Prediction Integrated Tool (GAPIT) that implements advanced statistical methods including the compressed mixed linear model (CMLM) and CMLM-based genomic prediction and selection. The GAPIT package can handle large datasets in excess of 10 000 individuals and 1 million single-nucleotide polymorphisms with minimal computational time, while providing user-friendly access and concise tables and graphs to interpret results.
http://www.maizegenetics.net/GAPIT.
zhiwu.zhang@cornell.edu
Supplementary data are available at Bioinformatics online.
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Details
- Title
- GAPIT: genome association and prediction integrated tool
- Creators
- Alexander E Lipka - Computational Biologist with the United States Department of Agriculture - Agricultural Research Service, Ithaca, NY 14853, USAFeng TianQishan WangJason PeifferMeng LiPeter J BradburyMichael A GoreEdward S BucklerZhiwu Zhang
- Publication Details
- Bioinformatics (Oxford, England), Vol.28(18), pp.2397-2399
- Academic Unit
- Crop and Soil Sciences, Department of
- Publisher
- England
- Identifiers
- 99900546547101842
- Language
- English
- Resource Type
- Journal article