PyAGH: a python package to fast construct kinship matrices based on different levels of omic data

• Published in: BMC bioinformatics Vol. 24; no. 1; pp. 153 - 12
• Main Authors: Zhao, Wei, Qadri, Qamar Raza, Zhang, Zhenyang, Wang, Zhen, Pan, Yuchun, Wang, Qishan, Zhang, Zhe
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.04.2023; BioMed Central; BMC
• Subjects: Accuracy; Algorithms; Epistasis; Genome-wide association studies; Genomes; Genomics - methods; Genotype; Genotypes; Humans; Kinship; Kinship matrices; Mathematical analysis; Methods; Microbiomes; Omic data; Operating systems; Pedigree; Plant breeding; Principal components analysis; Python package; Software; Sparsity; Transcriptomes; Visualization; China; Omic data; Python package; Kinship matrices

Construction of kinship matrices among individuals is an important step for both association studies and prediction studies based on different levels of omic data. Methods for constructing kinship matrices are becoming diverse and different methods have their specific appropriate scenes. However, so...