A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
National Center for Toxicological Research · Cornell University · +96 more institutions
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Abstract
No abstract available for this paper.
Citation impact
1,065
total citations
- FWCI
- 50.22
- Percentile
- 100%
- References
- 56
Citations per year
Authors
183- HHHuixiao HongCorresponding
National Center for Toxicological Research
- TCTao Chen
National Center for Toxicological Research
- JMJoseph Meehan
National Center for Toxicological Research, Cornell University
- JSJie Shen
National Institutes of Health, National Center for Toxicological Research
- FQFeng Qian
National Institutes of Health, National Center for Toxicological Research
Topics & keywords
Topics
Keywords
- RNA-Seq
- Computational biology
- Gene expression profiling
- Biology
- RNA
- DNA microarray
- Deep sequencing
- Gene
No related works found for this paper.
Funding
- NNNational Natural Science Foundation of ChinaAwards: 11DZ2260300, R01CA163256, 2010CB945401, 31071162
- VSVienna Science and Technology Fund
- SAScience and Technology Commission of Shanghai MunicipalityAward: 11DZ2260300
- AIAustrian Institute of Technology
- NINational Institutes of HealthAwards: R01CA163256, U54CA119338, R01NS076465
- MRMedical Research Council
- BABiotechnology and Biological Sciences Research CouncilAwards: BB/J020265/1, BB/I000771/1, BB/I025840/1
- NHNational Health and Medical Research CouncilAward: 1023454
- NSNational Supercomputing Center of Tianjin
- NSNational Supercomputing Center, Korea Institute of Science and Technology Information
- NINational Institute of Environmental Health Sciences
- UNU.S. National Library of Medicine