S-Space College of Natural Sciences (자연과학대학) Dept. of Biological Sciences (생명과학부) Journal Papers (저널논문_생명과학부)
Towards accurate detection of somatic variations in contaminated tumor samples
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- Issue Date
- 서울대학교 생물정보연구소
- 2017년 제 3회 생물정보 연구교류회
- Somatic substitutions are the most frequent type of mutations that are known to drive most human cancers. It has been key interest of the cancer genomicists and clinicians to reliably and accurately detect such somatic substitutions in tumor samples. Major efforts have been used to develop such tools for the past several years and as a result, many software tools have been reported. However, it is still difficult to obtain pure tumor samples from most cancer patients, a problem that continues to remain as a major challenge for all the existing mutation detection tools. In this talk, we will briefly discuss about a benchmark result for the currently available software tools for detecting somatic substitutions and about our recent efforts to improve the detection accuracy of somatic variations in contaminated tumor samples.
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