Article

CaMutQC: An R Package for Integrative Quality Control of Cancer Somatic Mutations

2024-08-12

Abstract excerpt

The quality control and filtration of cancer somatic mutations (CAMs), including the elimination of false positives resulting from technical bias and the selection of key mutation candidates, is crucial for downstream analysis in cancer genomics. Due to diverse needs and the absence of standardized filtering criteria, the filtering strategies employed vary from study to study, often leading to reduced efficiency,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5a98b896-3088-539d-a3e7-1c3e35a55d46
DOI: 10.1101/2024.08.12.606123

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

CaMutQC: An R Package for Integrative Quality Control of Cancer Somatic MutationsDOI 10.1101/2024.08.12.606123Read

Variant Interpretation for Cancer (VIC): a computational tool for assessing clinical impacts of somatic variantsSemantic proximity Read

FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures.Semantic proximity Read

TNscope: Accurate Detection of Somatic Mutations with Haplotype-based Variant Candidate Detection and Machine Learning FilteringSemantic proximity Read

Standard operating procedure for somatic variant refinement of tumor sequencing dataSemantic proximity Read

Accuracy and Reproducibility of Somatic Point Mutation Calling in Clinical-Type Targeted Sequencing DataSemantic proximity Read

VariFAST: a variant filter by automated scoring based on tagged-signatures.Semantic proximity Read

CRAVAT 4: Cancer-Related Analysis of Variants ToolkitSemantic proximity Read

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panelsSemantic proximity Read

SMART: A Somatic Mutation Annotation and Reporting Tool for cancer genomicsSemantic proximity Read

Confidence-based somatic mutation evaluation and prioritization.Semantic proximity Read

How to Identify Pathogenic Mutations among All Those Variations: Variant Annotation and Filtration in the Genome Sequencing Era.Semantic proximity Read

Processing UMI Datasets at High Accuracy and Efficiency with the Sentieon ctDNA Analysis PipelineSemantic proximity Read