GAPIT Version 2: An Enhanced Integrated Tool for Genomic Association and Prediction

By You Tang, Xiaolei Liu, Jiabo Wang, M. Li, Qishan Wang, Feng Tian, Z. Su, Yuchun Pan, Di Liu, A. Lipka and 2 more. The Plant Genome, 2016

354 citations recorded by the source corpus.

Genome‐wide association study Genomic prediction Simulation and experimental design

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/4df83b0d11506090d1247dcd8071490c458fc7f5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Jiabo Wang
2. Zhiwu Zhang

In Plant Science

1. Jiabo Wang
2. Zhiwu Zhang

Citations in the corpus

• GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction (2020, methodology): “1 [27] and enriched with ECMLM, FaST-LMM, and SUPER in version 2[28].”
• BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions (2018, neutral): “The Manhattan plots of GWAS results were drawn using GAPIT [40, 41].”