scholarly journals Transcriptome-Wide Identification and Characterization of MYB Transcription Factor Genes in the Laticifer Cells of Hevea brasiliensis

2017 ◽  
Vol 8 ◽  
Author(s):  
Ying Wang ◽  
Di-Feng Zhan ◽  
Hui-Liang Li ◽  
Dong Guo ◽  
Jia-Hong Zhu ◽  
...  
2018 ◽  
Vol 61 (2) ◽  
pp. 85-96 ◽  
Author(s):  
Hongwei Xun ◽  
Zhibing Zhang ◽  
Yunxiao Zhou ◽  
Xueyan Qian ◽  
Yingshan Dong ◽  
...  

2017 ◽  
Vol 64 (3) ◽  
pp. 398-409 ◽  
Author(s):  
J. Y. Choi ◽  
R. Abbai ◽  
Y. J. Kim ◽  
J. Silva ◽  
S. Rahimi ◽  
...  

2014 ◽  
Vol 65 (15) ◽  
pp. 4433-4449 ◽  
Author(s):  
Kazuya Koyama ◽  
Mineyo Numata ◽  
Ikuko Nakajima ◽  
Nami Goto-Yamamoto ◽  
Hideo Matsumura ◽  
...  

2016 ◽  
Vol 39 (1) ◽  
pp. 73-85 ◽  
Author(s):  
Zi-Ping Yang ◽  
Hui-Liang Li ◽  
Dong Guo ◽  
Shi-Qing Peng

2019 ◽  
Author(s):  
Olivera Grujic ◽  
Tanya N. Phung ◽  
Soo Bin Kwon ◽  
Adriana Arneson ◽  
Yuju Lee ◽  
...  

AbstractAnnotations of evolutionarily constraint provide important information for variant prioritization. Genome-wide maps of epigenomic marks and transcription factor binding provide complementary information for interpreting a subset of such prioritized variants. Here we developed the Constrained Non-Exonic Predictor (CNEP) to quantify the evidence of each base in the human genome being in a constrained non-exonic element from over 60,000 epigenomic and transcription factor binding features. We find that the CNEP score outperforms baseline and related existing scores at predicting constrained non-exonic bases from such data. However, a subset of such bases are still not well predicted by CNEP. We developed a complementary Conservation Signature Score by CNEP (CSS-CNEP) using conservation state and constrained element annotations that is predictive of those bases. Using human genetic variation, regulatory sequence motifs, mouse epigenomic data, and retrospectively considered additional human data we further characterize the nature of constrained non-exonic bases with low CNEP scores.


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