Cite
Integrated Analysis of Whole-Genome Paired-End and Mate-Pair Sequencing Data for Identifying Genomic Structural Variations in Multiple Myeloma
MLA
Rendong Yang, et al. “Integrated Analysis of Whole-Genome Paired-End and Mate-Pair Sequencing Data for Identifying Genomic Structural Variations in Multiple Myeloma.” Cancer Informatics, vol. 2014, no. Suppl. 2, Sept. 2014, pp. 49–53. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.bd65336a14370982d6647b782b316&authtype=sso&custid=ns315887.
APA
Rendong Yang, Li Chen, Scott Newman, Khanjan Gandhi, Gregory Doho, Carlos S. Moreno, Paula M. Vertino, Leon Bernal-Mizarchi, Sagar Lonial, Lawrence H. Boise, Michael Rossi, Jeanne Kowalski, & Zhaohui S. Qin. (2014). Integrated Analysis of Whole-Genome Paired-End and Mate-Pair Sequencing Data for Identifying Genomic Structural Variations in Multiple Myeloma. Cancer Informatics, 2014(Suppl. 2), 49–53.
Chicago
Rendong Yang, Li Chen, Scott Newman, Khanjan Gandhi, Gregory Doho, Carlos S. Moreno, Paula M. Vertino, et al. 2014. “Integrated Analysis of Whole-Genome Paired-End and Mate-Pair Sequencing Data for Identifying Genomic Structural Variations in Multiple Myeloma.” Cancer Informatics 2014 (Suppl. 2): 49–53. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.bd65336a14370982d6647b782b316&authtype=sso&custid=ns315887.