Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples
Nature Biotechnology, ISSN: 1087-0156, Vol: 31, Issue: 3, Page: 213-219
2013
- 3,547Citations
- 2,511Captures
- 19Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3,547
- Citation Indexes3,511
- 3,511
- CrossRef3,357
- 1,669
- Patent Family Citations29
- Patent Families29
- Policy Citations6
- Policy Citation6
- Clinical Citations1
- PubMed Guidelines1
- Captures2,511
- Readers2,511
- 2,505
- Mentions19
- News Mentions16
- News16
- References3
- Wikipedia3
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Tumour evolution and microenvironment interactions in 2D and 3D space
Nature, Published online: 30 October 2024; doi:10.1038/s41586-024-08087-4 Visium spatial transcriptomics, single-nucleus RNA sequencing and co-detection by indexing are used to identify distinct spatial microregions in tumours and their microenvironment across six diverse solid cancer types.
Article Description
Detection of somatic point substitutions is a key step in characterizing the cancer genome. However, existing methods typically miss low-allelic-fraction mutations that occur in only a subset of the sequenced cells owing to either tumor heterogeneity or contamination by normal cells. Here we present MuTect, a method that applies a Bayesian classifier to detect somatic mutations with very low allele fractions, requiring only a few supporting reads, followed by carefully tuned filters that ensure high specificity. We also describe benchmarking approaches that use real, rather than simulated, sequencing data to evaluate the sensitivity and specificity as a function of sequencing depth, base quality and allelic fraction. Compared with other methods, MuTect has higher sensitivity with similar specificity, especially for mutations with allelic fractions as low as 0.1 and below, making MuTect particularly useful for studying cancer subclones and their evolution in standard exome and genome sequencing data. Copyright © 2013 Nature America, Inc.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84874025843&origin=inward; http://dx.doi.org/10.1038/nbt.2514; http://www.ncbi.nlm.nih.gov/pubmed/23396013; https://www.nature.com/articles/nbt.2514; https://dx.doi.org/10.1038/nbt.2514; http://www.nature.com/doifinder/10.1038/nbt.2514; http://www.nature.com/nbt/journal/v31/n3/full/nbt.2514.html
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