ArticleGenome research2024
Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samples.
Article in Genome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Article
- VariantMedium: sensitive and generalizable somatic point mutation calling with 3D DenseNets trained and evaluated on experimental data.Genome medicine · 2026Article
- ChoCallate: a computational pipeline for consensus germline variant calling in genomic sequencing data.PeerJ · 2026Article
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- Development and characterization of orthotopic patient-derived xenograft models of peritoneal metastatic mucinous appendiceal adenocarcinoma.ESMO gastrointestinal oncology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.