Streamline unsupervised machine learning to survey and graph indel-based haplotypes from pan-genomes

Affiliations

• ¹ Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA.
• ² USDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, WA 99164, USA; USDA-ARS, Corn Insects and Crop Genetics Research Unit, Ames, IA 50011, USA.
• ³ USDA-ARS, Plant Introduction Research, Ames, IA 50011, USA.
• ⁴ Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA; USDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, WA 99164, USA.
• ⁵ Department of Agronomy, Iowa State University, Ames, IA 50011, USA.
• ⁶ Department of Crop and Soil Sciences, Washington State University, Pullman, WA 99164, USA; USDA-ARS, Wheat Health, Genetics, and Quality Research Unit, Pullman, WA 99164, USA. Electronic address: xianran.li@usda.gov.