ReviewBriefings in bioinformatics2019
Computational approaches for discovery of mutational signatures in cancer.
Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A practical framework RNMF for exploring the association between mutational signatures and genes using gene cumulative contribution abundance.Cancer medicine · 2022Pooled it
- StarSignDNA: mutation-to-signature attribution for accurate representation of mutational processes in low-mutation contexts.NAR genomics and bioinformatics · 2025Article
- Comprehensive analysis of mutational processes across 20 000 adult and pediatric tumors.Nucleic acids research · 2025Article
- Advancing precision oncology with AI-powered genomic analysis.Frontiers in pharmacology · 2025Review
- Topography of mutational signatures in non-small cell lung cancer: emerging concepts, clinical applications, and limitations.The oncologist · 2024Review
- Comprehensive cross cancer analyses reveal mutational signature cancer specificity.Quantitative biology (Beijing, China) · 2024Article
- Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization.BMC bioinformatics · 2023Article
- Spatial genomic diversity associated with APOBEC mutagenesis in squamous cell carcinoma arising from ovarian teratoma.Cancer science · 2023Article
- Computational Methods Summarizing Mutational Patterns in Cancer: Promise and Limitations for Clinical Applications.Cancers · 2023Review
- scAB detects multiresolution cell states with clinical significance by integrating single-cell genomics and bulk sequencing data.Nucleic acids research · 2022Article
- Bioinformatics roadmap for therapy selection in cancer genomics.Molecular oncology · 2022Review
- SUITOR: Selecting the number of mutational signatures through cross-validation.PLoS computational biology · 2022Article
- Spatiotemporal dynamics of clonal selection and diversification in normal endometrial epithelium.Nature communications · 2022Observational
- Premetastatic shifts of endogenous and exogenous mutational processes support consolidative therapy in EGFR-driven lung adenocarcinoma.Cancer letters · 2022Article
- Mutational signatures: emerging concepts, caveats and clinical applications.Nature reviews. Cancer · 2021Review
- CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data.Nature communications · 2021Article
- Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers.Cancer research · 2021Article
- Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis.Bioinformatics (Oxford, England) · 2021Article
- MutViz 2.0: visual analysis of somatic mutations and the impact of mutational signatures on selected genomic regions.NAR cancer · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The accumulation of somatic mutations in a genome is the result of the activity of one or more mutagenic processes, each of which leaves its own imprint. The study of these DNA fingerprints, termed mutational signatures, holds important potential for furthering our understanding of the causes and evolution of cancer, and can provide insights of relevance for cancer prevention and treatment. In this review, we focus our attention on the mathematical models and computational techniques that have driven recent advances in the field.
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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.