GigaScience · 2021 · 29 citations · 68 references
MedicineBioinformaticsOncologyCancer GeneticsGenomic Data AnalysisTumor HeterogeneityCancer GenomicsComputational OncologyMolecular Classification Of TumorsMolecular Tumor ProfilingNext-generation Sequencing In OncologyPhylogenetic AnalysisCancer Heterogeneity AnalysisIntra-tumor HeterogeneityMutational Signature AnalysisSomatic Genomic AlterationsSomatic Mutation AnalysisSomatic MutationsTumor Evolution AnalysisTumor Heterogeneity Assessment
BACKGROUND: Multi-region sequencing (MRS) has been widely used to analyze intra-tumor heterogeneity (ITH) and cancer evolution. However, comprehensive analysis of mutational data from MRS is still challenging, necessitating complicated integration of a plethora of computational and statistical approaches. FINDINGS: Here, we present MesKit, an R/Bioconductor package that can assist in characterizing genetic ITH and tracing the evolutionary history of tumors based on somatic alterations detected by MRS. MesKit provides a wide range of analysis and visualization modules, including ITH evaluation, metastatic route inference, and mutational signature identification. In addition, MesKit implements an auto-layout algorithm to generate phylogenetic trees based on somatic mutations. The application of MesKit for 2 reported MRS datasets of hepatocellular carcinoma and colorectal cancer identified known heterogeneous features and evolutionary patterns, together with potential driver events during cancer evolution. CONCLUSIONS: In summary, MesKit is useful for interpreting ITH and tracing evolutionary trajectory based on MRS data. MesKit is implemented in R and available at https://bioconductor.org/packages/MesKit under the GPL v3 license.
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The Sequence Alignment/Map format and SAMtools
Heng Li, Alec Wysoker, Tim Fennell et al. · Bioinformatics · 2009 · 67.5K citations · Full text