A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset

Background Single-nucleotide polymorphisms (SNPs) are the most widely used form of molecular genetic variation studies. As reference genomes and resequencing data sets expand exponentially, tools must be in place to call SNPs at a similar pace. The genome analysis toolkit (GATK) is one of the most w...

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Autores principales:	Zhou, Yong, Kathiresan, Nagarajan, Yu, Zhichao, Rivera, Luis F., Yang, Yujian, Thimma, Manjula, Manickam, Keerthana, Chebotarov, Dmytro, Mauleon, Ramil, Chougule, Kapeel, Wei, Sharon, Gao, Tingting, Green, Carl D., Zuccolo, Andrea, Xie, Weibo, Ware, Doreen, Zhang, Jianwei, McNally, Kenneth L., Wing, Rod A.
Formato:	Journal Article
Lenguaje:	Inglés
Publicado:	Springer 2024
Materias:	single nucleotide polymorphisms genomes rice sorghum maize soybeans food crops
Acceso en línea:	https://hdl.handle.net/10568/163079