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

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

Abstract 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 t...

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Bibliographic Details
Main Authors: Yong Zhou, Nagarajan Kathiresan, Zhichao Yu, Luis F. Rivera, Yujian Yang, Manjula Thimma, Keerthana Manickam, Dmytro Chebotarov, Ramil Mauleon, Kapeel Chougule, Sharon Wei, Tingting Gao, Carl D. Green, Andrea Zuccolo, Weibo Xie, Doreen Ware, Jianwei Zhang, Kenneth L. McNally, Rod A. Wing
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Biology
Subjects:
High-performance computing (HPC)
Genome Analysis Toolkit (GATK)
Single-nucleotide polymorphisms (SNPs)
Rice
Sorghum
Maize
Online Access:https://doi.org/10.1186/s12915-024-01820-5

Internet

https://doi.org/10.1186/s12915-024-01820-5

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