Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Testuo Shibuya, Masao Nagasaki. SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints. In Adrian Horia Dediu, Carlos Martín-Vide, Bianca Truthe, editors, Algorithms for Computational Biology - First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedigns. Volume 8542 of Lecture Notes in Computer Science, pages 208-219, Springer, 2014. [doi]
@inproceedings{OhtsukiNKMSKYSN14,
title = {SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints},
author = {Tomohiko Ohtsuki and Naoki Nariai and Kaname Kojima and Takahiro Mimori and Yukuto Sato and Yosuke Kawai and Yumi Yamaguchi-Kabata and Testuo Shibuya and Masao Nagasaki},
year = {2014},
doi = {10.1007/978-3-319-07953-0_17},
url = {http://dx.doi.org/10.1007/978-3-319-07953-0_17},
researchr = {https://researchr.org/publication/OhtsukiNKMSKYSN14},
cites = {0},
citedby = {0},
pages = {208-219},
booktitle = {Algorithms for Computational Biology - First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedigns},
editor = {Adrian Horia Dediu and Carlos Martín-Vide and Bianca Truthe},
volume = {8542},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-07952-3},
}