Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
http://www.nature.com/articles/nbt.3682.pdf
Reference35 articles.
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4. Su, Z. & SEQC/MAQC-III Consortium A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. Nat. Biotechnol. 32, 903–914 (2014).
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