PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Cancer Research and Treatment10.4143/crt.2021.218202254130-39Comparison of the Data of a Next-Generation Sequencing Panel from K-MASTER Project with That of Orthogonal Methods for Detecting Targetable Genetic AlterationsYoon Ji Choi, Jung Yoon Choi, Ju Won Kim, Ah Reum Lim, Youngwoo Lee, Won Jin Chang, Soohyeon Lee, Jae Sook Sung, Hee-Joon Chung, Jong Won Lee, Eun Joo Kang, Jung Sun Kim, Taekyu Lim, Hye Sook Kim, Yu Jung Kim, Mi Sun Ahn, Young Saing Kim, Ji Hyun Park, Seungtaek Lim, Sung Shim Cho, Jang Ho Cho, Sang Won Shin, Kyong Hwa Park, Yeul Hong Kimhttp://e-crt.org/upload/pdf/crt-2021-218.pdf, http://e-crt.org/journal/view.php?doi=10.4143/crt.2021.218, http://e-crt.org/upload/pdf/crt-2021-218.pdf
Statistical Analysis of Next Generation Sequencing Data10.1007/978-3-319-07212-8_192014379-404Statistical Methods for the Analysis of Next Generation Sequencing Data from Paired Tumor-Normal SamplesMengjie Chen, Lin Hou, Hongyu Zhaohttps://link.springer.com/content/pdf/10.1007/978-3-319-07212-8_19
Cancer Research and Treatment10.4143/crt.2019.3052020522543-551Detection of Targetable Genetic Alterations in Korean Lung Cancer Patients: A Comparison Study of Single-Gene Assays and Targeted Next-Generation SequencingEunhyang Park, Hyo Sup Shimhttp://e-crt.org/upload/pdf/crt-2019-305.pdf, http://e-crt.org/journal/view.php?doi=10.4143/crt.2019.305, http://e-crt.org/upload/pdf/crt-2019-305.pdf
Next Generation Sequencing Based Clinical Molecular Diagnosis of Human Genetic Disorders10.1007/978-3-319-56418-0_3201723-49Next Generation Sequencing (NGS) Based Panel Analysis of Metabolic PathwaysElizabeth B. Gorman, Lee-Jun C. Wonghttp://link.springer.com/content/pdf/10.1007/978-3-319-56418-0_3
Computational Methods for Precision Oncology10.1007/978-3-030-91836-1_4202255-74Identification of Copy Number Alterations from Next-Generation Sequencing DataSheida Nabavi, Fatima Zarehttps://link.springer.com/content/pdf/10.1007/978-3-030-91836-1_4
HLA10.1111/tan.128502016881-214-24HLA genotyping in the clinical laboratory: comparison of next-generation sequencing methodsT. Profaizer, E. Lázár-Molnár, D.W. Close, J. C. Delgado, A. Kumánovicshttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Ftan.12850, http://onlinelibrary.wiley.com/wol1/doi/10.1111/tan.12850/fullpdf
Genetic Engineering & Biotechnology News10.1089/gen.42.05.13202242544-44Addressing Key Data Issues Arising from Next-Generation Sequencinghttps://www.liebertpub.com/doi/full-xml/10.1089/gen.42.05.13, https://www.liebertpub.com/doi/pdf/10.1089/gen.42.05.13
Statistical Analysis of Next Generation Sequencing Data10.1007/978-3-319-07212-8_162014315-333Genotype Calling and Haplotype Phasing from Next Generation Sequencing DataDegui Zhi, Kui Zhanghttps://link.springer.com/content/pdf/10.1007/978-3-319-07212-8_16
Methods10.1016/j.ymeth.2017.08.005201712924-32Detecting exact breakpoints of deletions with diversity in hepatitis B viral genomic DNA from next-generation sequencing dataJi-Hong Cheng, Wen-Chun Liu, Ting-Tsung Chang, Sun-Yuan Hsieh, Vincent S. Tsenghttps://api.elsevier.com/content/article/PII:S1046202317300798?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1046202317300798?httpAccept=text/plain
Statistical Analysis of Next Generation Sequencing Data10.1007/978-3-319-07212-8_182014355-378Detecting Copy Number Changes and Structural Rearrangements Using DNA SequencingVenkatraman E. Seshanhttps://link.springer.com/content/pdf/10.1007/978-3-319-07212-8_18