COSMOS: cloud enabled NGS analysis

BMC Bioinformatics

Meeting Abstract

Jae-Yoon Jung¹  Alex Lancaster¹  Dennis Wall²  Saaid Amzazi³  Yassine Souilmi⁴  Hassan Ghazal⁵  Erik Gafni⁶ 

[1] Center for Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA;Center for Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA;Department of Pediatrics, Division of Systems Medicine, Stanford University, 94305, Stanford, CA, USA;Department of Biology, Faculty of Sciences of Rabat, Morocco;Department of Biology, Faculty of Sciences of Rabat, Morocco;Center for Biomedical Informatics, Harvard Medical School, 02115, Boston, MA, USA;Department of Biology, Mohamed First University, Oujda/Nador, Morocco;INVITAE, 94107, San Francisco, CA, USA;

关键词: Next Generation Sequencing;    Cloud Environment;    Translational Medicine;    Dramatic Fall;    Whole Genome Analysis;   

DOI  :  10.1186/1471-2105-16-S2-A2

来源: Springer

【 授权许可】

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© Souilmi et al; licensee BioMed Central Ltd. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.