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Chandran, Anil Kumar Nalini
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1

Rice Chalky Grain 5 regulates natural variation for grain q..:

Chandran, Anil Kumar Nalini ; Sandhu, Jaspreet ; Irvin, Larissa...
Frontiers in Plant Science.  13 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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2

HyperSeed: An End-to-End Method to Process Hyperspectral Im..:

Gao, Tian ; Chandran, Anil Kumar Nalini ; Paul, Puneet..
Sensors.  21 (2021)  24 - p. 8184 , 2021
Link: https://doi.org/10.3390/..
 
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3

Rice CaM-binding transcription factor (OsCBT) mediates defe..:

Chung, Jung-Sung ; Koo, Sung Cheol ; Jin, Byung Jun...
Plant Biotechnology Reports.  14 (2020)  3 - p. 309-321 , 2020
Link: https://doi.org/10.1007/..
 
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4

Comparative Transcriptome Analysis Reveals Gene Regulatory ..:

Moon, Sunok ; Hong, Woo-Jong ; Kim, Yu-Jin...
Journal of Plant Biology.  63 (2020)  4 - p. 289-296 , 2020
Link: https://doi.org/10.1007/..
 
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5

Rice Male Gamete Expression Database (RMEDB): A Web Resourc..:

Chandran, Anil Kumar Nalini ; Hong, Woo-Jong ; Abhijith, Balachandran...
Journal of Plant Biology.  63 (2020)  6 - p. 421-430 , 2020
Link: https://doi.org/10.1007/..
 
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6

Transcriptome analysis of rice-seedling roots under soil–sa..:

Chandran, Anil Kumar Nalini ; Kim, Jeong-Won ; Yoo, Yo-Han...
Plant Biotechnology Reports.  13 (2019)  6 - p. 567-578 , 2019
Link: https://doi.org/10.1007/..
 
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7

A web-based tool for the prediction of rice transcription f..:

Chandran, Anil Kumar Nalini ; Moon, Sunok ; Yoo, Yo-Han...
Database.  2019 (2019)  - p. , 2019
Link: https://doi.org/10.1093/..
 
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8

Infrastructures of systems biology that facilitate function..:

Hong, Woo-Jong ; Kim, Yu-Jin ; Chandran, Anil Kumar Nalini.
Rice.  12 (2019)  1 - p. , 2019
Link: https://doi.org/10.1186/..
 
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9

Genome-Wide Transcriptome Analysis of Rice Seedlings after ..:

Yoo, Yo-Han ; Kim, Minjae ; Chandran, Anil Kumar Nalini...
International Journal of Molecular Sciences.  20 (2019)  23 - p. 5883 , 2019
Link: https://doi.org/10.3390/..
 
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10

Rice RHC Encoding a Putative Cellulase is Essential for Nor..:

Moon, Sunok ; Chandran, Anil Kumar Nalini ; Kim, Yu-Jin...
Journal of Plant Biology.  62 (2019)  1 - p. 82-91 , 2019
Link: https://doi.org/10.1007/..
 
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11

Integrated omics analysis of root-preferred genes across di..:

Moon, Sunok ; Chandran, Anil Kumar Nalini ; Gho, Yun-Shil...
Journal of Plant Physiology.  220 (2018)  - p. 11-23 , 2018
Link: https://doi.org/10.1016/..
 
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12

Genome-wide analysis of root hair-preferential genes in ric:

Moon, Sunok ; Chandran, Anil Kumar Nalini ; An, Gynheung..
Rice.  11 (2018)  1 - p. , 2018
Link: https://doi.org/10.1186/..
 
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13

Comparative Expression Analysis of Rice and Arabidopsis Per..:

Gho, Yun-Shil ; Park, Sun-A ; Kim, Sung-Ruyl...
Rice.  10 (2017)  1 - p. , 2017
Link: https://doi.org/10.1186/..
 
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14

Meta-expression analysis of unannotated genes in rice and a..:

Chandran, Anil Kumar Nalini ; Bhatnagar, Nikita ; Yoo, Yo-Han...
Plant Molecular Biology.  96 (2017)  1-2 - p. 17-34 , 2017
Link: https://doi.org/10.1007/..
 
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15

Construction and application of functional gene modules to ..:

Hong, Woo-Jong ; Chandran, Anil Kumar Nalini ; Jeon, Jong-Seong.
Journal of Plant Biology.  60 (2017)  4 - p. 358-379 , 2017
Link: https://doi.org/10.1007/..
 
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