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Towards accurate detection of somatic variations in contaminated tumor samples
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Baek, Daehyun | en |
dc.date.accessioned | 2017-04-25T07:46:37Z | - |
dc.date.available | 2017-07-31T22:35:43Z | - |
dc.date.issued | 2017-04-03 | - |
dc.identifier.citation | 2017년 제 3회 생물정보 연구교류회 | - |
dc.identifier.uri | https://hdl.handle.net/10371/117491 | - |
dc.description.abstract | 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. | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 생물정보연구소 | en |
dc.subject | Towards accurate detection of somatic variations in contaminated tumor samples | en |
dc.subject | 자연과학 | en |
dc.title | Towards accurate detection of somatic variations in contaminated tumor samples | en |
dc.type | Conference Paper | - |
dc.contributor.AlternativeAuthor | 백대현 | - |
dc.description.srnd | OAIID:RECH_ACHV_DSTSH_NO:A201701118 | - |
dc.description.srnd | RECH_ACHV_FG:RR00200003 | - |
dc.description.srnd | ADJUST_YN: | - |
dc.description.srnd | EMP_ID:A078409 | - |
dc.description.srnd | CITE_RATE: | - |
dc.description.srnd | FILENAME:20170403_초청강연_제3회생물정보 연구교류회.pdf | - |
dc.description.srnd | DEPT_NM:생명과학부 | - |
dc.description.srnd | EMAIL:baek@snu.ac.kr | - |
dc.description.srnd | SCOPUS_YN: | - |
dc.description.srnd | FILEURL:https://srnd.snu.ac.kr/eXrepEIR/fws/file/a2e1b695-6e47-43b4-8f93-60dfb1e2a2aa/link | - |
dc.description.srnd | CONFIRM:Y | - |
dc.identifier.srnd | A201701118 | - |
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