@@ -266,18 +266,14 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
\addtolength{\leftskip}{9mm}
\subsection*{Preprints}
\noindent Gaillard M$^*$, \textbf{Miao C}$^*$, \textbf{Schnable JC}, Benes B$^\S$ Voxel carving based 3D reconstruction of sorghum identifies genetic determinants of radiation interception efficiency. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.04.06.028605}{10.1101/2020.04.06.028605v1}\\
\noindent\textbf{Miao C}, Xu Y, Liu S, Schnable PS, \textbf{Schnable JC}$^\S$ Functional principal component based time-series genome-wide association in sorghum. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.02.16.951467}{10.1101/2020.02.16.951467}\\
\noindent\textbf{Miao C}, \textbf{Hoban TP}$^\ddagger$, \textbf{Pages A}$^\ddagger$, Xu Z, Rodene E, Ubbens J, Stavness I, Yang J, \textbf{Schnable JC}$^\S$ Simulated plant images improve maize leaf counting accuracy. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/706994}{10.1101/706994}\\
\noindent Gaillard M$^*$, \textbf{Miao C}$^*$, \textbf{Schnable JC}, Benes B$^\S$ Voxel carving based 3D reconstruction of sorghum identifies genetic determinants of radiation interception efficiency. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.04.06.028605}{10.1101/2020.04.06.028605v1}\\
\noindent Weissmann S, Huang P, Furoyama K, Wiechert M, Taniguchi M, \textbf{Schnable JC},$^\S$ Brutnell TP, Mockler TC$^\S$ DCT4 - a new member of the dicarboxylate transporter family in C\textsubscript{4} grasses. \textsc{bioRxiv} doi: \href{https://doi.org/10.1101/762724}{10.1101/762724}\\
\subsection*{Other Manuscripts in Review}
\noindent\textbf{Raju SKK}, Atkins M, \textbf{Enerson A}$^\ddagger$, \textbf{Carvalho DS}, Studer AJ, Ganapathysubramanian B, Schnable PS, \textbf{Schnable JC}$^\S$ Leaf Angle eXtractor - A high throughput image processing framework for leaf angle measurement in maize and sorghum. \textit{(In Review)}\\
\noindent Moisseyev G, Park K, Cui X, Freitas D, Rajagopa D, Konda A, Martin-Olenski M, Mcham M, Liu K, Du Q, \textbf{Schnable JC}, Moriyama E, Cahoon E, Chi Z$^\S$ RGPDB: Database of root-associated genes and promoters in maize, soybean, and sorghum. \textit{(In Review)}\\
\noindent Han J, Wang P, Wang Q, Lin Q, Yu G, \textbf{Miao C}, Dao Y, Wu R, \textbf{Schnable JC}, Tang H, Wang K$^\S$ Genome-wide characterization of DNase I-hypersensitive sites and cold response regulatory landscapes in grasses. \textit{(In Review)}\\
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@@ -289,7 +285,11 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
\begin{etaremune}
\subsection*{Faculty Publications}
\item\textbf{Dai X}, Xu Z, \textbf{Liang Z}, Tu X, Zhong S, \textbf{Schnable JC},$^\S$ Li P$^\S$ (2020) Non-homology based prediction of gene functions. \textsc{The Plant Genome}\textit{(Accepted)}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/730473}{10.1101/730473}
\item\textbf{Miao C}, Xu Y, Liu S, Schnable PS, \textbf{Schnable JC}$^\S$ (2020) Functional principal component based time-series genome-wide association in sorghum. \textsc{Plant Physiology}\textit{(Accepted)}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/2020.02.16.951467}{10.1101/2020.02.16.951467}
\item\textbf{Raju SKK}, Atkins M, \textbf{Enerson A}$^\ddagger$, \textbf{Carvalho DS}, Studer AJ, Ganapathysubramanian B, Schnable PS, \textbf{Schnable JC}$^\S$ (2020) Leaf Angle eXtractor - A high throughput image processing framework for leaf angle measurement in maize and sorghum. \textsc{Applications in Plant Sciences}\textit{(Accepted)}
\item\textbf{Dai X}, Xu Z, \textbf{Liang Z}, Tu X, Zhong S, \textbf{Schnable JC}$^\S$, Li P$^\S$ (2020) Non-homology based prediction of gene functions. \textsc{The Plant Genome}\textit{(Accepted)}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/730473}{10.1101/730473}
\item Peng B, Guan K$^\S$, Ainsworth EA, Asseng S, Bernacchi CJ, Cooper M, Delucia EH, Elliot JW, Ewert F, Grant RF, Gustafson DI, Hammer GL, Jin Z, Jones JW, Kimm H, Lawrence DM, Li Y, Lombardozzi DL, Marshall-Colon A, Messina CD, Ort DR, \textbf{Schnable JC}, Tang J, Vallejos CE, Wu A, Yin X, Zhou W (2020) Advancing multi-scale crop modeling for agricultural climate change adaptation assessment. \textsc{Nature Plants} doi: \href{https://t.co/rl4ywzzDhy?amp=1}{10.1038/s41477-020-0625-3}
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@@ -303,7 +303,7 @@ Lab members in \textbf{bold}, $^*$authors contributed equally, $^\ddagger$underg
\item\textbf{Carvalho DS}, \textbf{Nishimwe AV}$^\ddagger$, \textbf{Schnable JC}$^\S$ (2020) IsoSeq transcriptome assembly of C3 panicoid grasses provides tools to study evolutionary change in the Panicoideae. \textsc{Plant Direct}\href{https://doi.org/10.1002/pld3.203}{10.1002/pld3.203}\textsc{bioRxiv} doi: \href{https://doi.org/10.1101/689356}{10.1101/689356}
\item\textbf{Miao C}, \textbf{Pages A}, Xu Z, Rodene E, Yang J, \textbf{Schnable JC}$^\S$ (2020) Semantic segmentation of sorghum using hyperspectral data identifies genetic associations. \textsc{Plant Phenomics} doi: \href{https://doi.org/10.34133/2020/4216373}{10.34133/2020/4216373}
\item\textbf{Miao C}, \textbf{Pages A}$^\ddagger$, Xu Z, Rodene E, Yang J, \textbf{Schnable JC}$^\S$ (2020) Semantic segmentation of sorghum using hyperspectral data identifies genetic associations. \textsc{Plant Phenomics} doi: \href{https://doi.org/10.34133/2020/4216373}{10.34133/2020/4216373}
\item Jarquin D$^\S$, Howard R, \textbf{Liang Z}, Gupta SK, \textbf{Schnable JC}, Crossa J (2020) Enhancing hybrid prediction in pearl millet using genomic and/or multi-environment phenotypic information of inbreds. \textsc{Frontiers in Genetics} doi: \href{https://doi.org/10.3389/fgene.2019.01294}{10.3389/fgene.2019.01294}