RT Journal
A1 Ji, Shuangxi
A1 Zhu, Tong
A1 Sethia, Ankit
A1 Wang, Wenyi
T1 Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samples
JF Genome Research 
JO Genome Research 
YR 2024 
FD April 01 
VO 34 
IS 4 
SP 633 
OP 641 
DO 10.1101/gr.278456.123 
UL http://genome.cshlp.org/content/34/4/633.abstract 
AB Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing large cancer genomic data sets.