The developmental dynamics of the maize leaf transcriptome

By Pinghua Li, L. Ponnala, Neeru Gandotra, Lin Wang, Yaqing Si, S. L. Tausta, Tesfamichael H. Kebrom, Nicholas J. Provart, R. Patel, C. Myers and 6 more. Nature Genetics, 2010

738 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/274806d32e03da3a5e3893b9119277de33abb2aa

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Citations in the corpus

A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data. (2012, positive): “We first estimated the overall mean expression levels from LCM data obtained from Li et al. (2010) and fitted a Gamma distribution using maximum likelihood approach.”
Utility of RNA Sequencing for Analysis of Maize Reproductive Transcriptomes (2011, background): “Th ough a few RNA-seq studies in maize have been completed (Eveland et al., 2010; Li et al., 2010; Wang et al., 2009a), none have thoroughly examined diverse reproductive tissues.”
Optimizing de novo transcriptome assembly from short-read RNA-Seq data: a comparative study (2011, background): “RNA-Seq has been widely applied to both well-studied model organisms and nonmodel organisms, to provide information on transcript profile of organisms, and to give important insights into biological processes [1-5].”
First off the mark: early seed germination. (2011, background): “MU3114/1-1); these are gratefully acknowledged.”