ArticleNPJ genomic medicine2020
MutSpot: detection of non-coding mutation hotspots in cancer genomes.
Article in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Genome-wide analysis of somatic noncoding mutation patterns and mitochondrial heteroplasmic shift in type B1 and B2 thymomas.The Journal of pathology · 2026Article
- Integrating Clinical Cancer and PTM Proteomics Data Identifies a Mechanism of ACK1 Kinase Activation.Molecular cancer research : MCR · 2024Article
- Optimized high-throughput screening of non-coding variants identified from genome-wide association studies.Nucleic acids research · 2023Article
- maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.PLoS computational biology · 2023Article
- Pan-cancer analysis of mutations in open chromatin regions and their possible association with cancer pathogenesis.Cancer medicine · 2022Article
- Genome-wide analysis of somatic noncoding mutation patterns in cancer.Science (New York, N.Y.) · 2022Article
- Multi-omic profiling of peritoneal metastases in gastric cancer identifies molecular subtypes and therapeutic vulnerabilities.Nature cancer · 2021Article
- Non-coding driver mutations in human cancer.Nature reviews. Cancer · 2021Review
- Nucleic Acids in Cancer Diagnosis and Therapy.Cancers · 2020Article
- MutSpot: detection of non-coding mutation hotspots in cancer genomes.NPJ genomic medicine · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recurrence and clustering of somatic mutations (hotspots) in cancer genomes may indicate positive selection and involvement in tumorigenesis. MutSpot performs genome-wide inference of mutation hotspots in non-coding and regulatory DNA of cancer genomes. MutSpot performs feature selection across hundreds of epigenetic and sequence features followed by estimation of position- and patient-specific background somatic mutation probabilities. MutSpot is user-friendly, works on a standard workstation, and scales to thousands of cancer genomes.
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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.