mutation discovery in regions of segmental cancer genome amplifications with conan-snv a mixture model for next generation sequencing of tumors突变的发现地区的节段性癌症基因组的扩增conan-snv下一代测序的混合模型的肿瘤.pdfVIP

下载本文档

3
0
约9.86万字
约 12页
2017-09-01 发布于上海
举报
版权申诉

mutation discovery in regions of segmental cancer genome amplifications with conan-snv a mixture model for next generation sequencing of tumors突变的发现地区的节段性癌症基因组的扩增conan-snv下一代测序的混合模型的肿瘤.pdf

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

mutation discovery in regions of segmental cancer genome amplifications with conan-snv a mixture model for next generation sequencing of tumors突变的发现地区的节段性癌症基因组的扩增conan-snv下一代测序的混合模型的肿瘤

Mutation Discovery in Regions of Segmental Cancer Genome Amplifications with CoNAn-SNV: A Mixture Model for Next Generation Sequencing of Tumors 1 1,2 1 1,3 1 1 Anamaria Crisan , Rodrigo Goya , Gavin Ha , Jiarui Ding , Leah M. Prentice , Arusha Oloumi , 3 3 2 2 2 4 Janine Senz , Thomas Zeng , Kane Tse , Allen Delaney , Marco A. Marra , David G. Huntsman , 2 1 1,5 Martin Hirst , Sam Aparicio , Sohrab Shah * 1 Department of Molecular Oncology, BC Cancer Agency, Vancouver, British Columbia, Canada, 2 Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, Canada, 3 Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada, 4 Centre for Translational and Applied Genomics, British Columbia Cancer Agency, Vancouver, British Columbia, Canada, 5 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada Abstract Next generation sequencing has now enabled a cost-effective enumeration of the full mutational complement of a tumor genome—in particular single nucleotide variants (SNVs). Most current computational and statistical models for analyzing next generation sequencing data, however, do not account for cancer-specific biological properties, including somatic segmental copy number alterations (CNAs)—which require special treatment of the data. Here we present CoNAn-SNV (Copy Number Annotated SNV): a no