Journal article

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Zhenqiang Su, Pawel P Labaj, Sheng Li, Jean Thierry-Mieg, Danielle Thierry-Mieg, Wei Shi, Charles Wang, Gary P Schroth, Robert A Setterquist, John F Thompson, Wendell D Jones, Wenzhong Xiao, Weihong Xu, Roderick V Jensen, Reagan Kelly, Joshua Xu, Ana Conesa, Cesare Furlanello, Hanlin Gao, Huixiao Hong Show all

Nature Biotechnology | NATURE PUBLISHING GROUP | Published : 2014

Grants

Awarded by US National Institutes of Health (NIH)


Awarded by Intramural Research Program of the NIH, National Library of Medicine, National Institute of Environmental Health Sciences (NIEHS)


Awarded by Shriners Research Grant


Awarded by Australia National Health and Medical Research Council (NHMRC)


Awarded by National 973 Key Basic Research Program of China


Awarded by National Natural Science Foundation of China


Awarded by Science and Technology Commission of Shanghai Municipality


Funding Acknowledgements

All SEQC (MAQC-III) participants freely donated their time and reagents for the completion and analyses of the project. Many participants contributed to the sometimes-heated discussions on the topic of this paper during numerous e-mail exchanges, teleconferences and face-to-face project meetings. The common conclusions and recommendations reported in this paper evolved from this extended discourse. The authors gratefully acknowledge support by the National Center for Biotechnology Information (NCBI)'s Supercomputing Center, the FDA's Supercomputing Center, China's National Supercomputing Center of Tianjin, the Vienna Scientific Cluster High Performance Computing Facility (VSC), the Vienna Science and Technology Fund (WWTF), Baxter, the Austrian Institute of Technology, and the Austrian Centre of Biopharmaceutical Technology. This work was supported in part by China's Program of Global Experts. This work was supported in part by the US National Institutes of Health (NIH) grants R01CA163256, R01HG006798, R01NS076465, R44HG005297, U54CA119338, PO1HG00205, R24GM102656 and the Intramural Research Program of the NIH, National Library of Medicine, National Institute of Environmental Health Sciences (NIEHS) Z01 ES102345-04, Shriners Research Grant 85500, an Australia National Health and Medical Research Council (NH&MRC) Project grant (1023454) and Victorian State Government Operational Infrastructure Support (Australia), the National 973 Key Basic Research Program of China (2010CB945401), the National Natural Science Foundation of China (31240038 and 31071162), and the Science and Technology Commission of Shanghai Municipality (11DZ2260300). We greatly appreciate SAS Institute, Inc. for kindly hosting several face-to-face meetings of the SEQC (MAQC-III) project.