Chandran AKN - Search Results

1

Updated Rice Kinase Database RKD 2.0: enabling transcriptome and functional analysis of rice kinase genes.

Chandran AKN, Yoo YH, Cao P, Sharma R, Sharma M, Dardick C, Ronald PC, Jung KH. Chandran AKN, et al. Rice (N Y). 2016 Dec;9(1):40. doi: 10.1186/s12284-016-0106-5. Epub 2016 Aug 19. Rice (N Y). 2016. PMID: 27540739 Free PMC article.

2

Functional classification of rice flanking sequence tagged genes using MapMan terms and global understanding on metabolic and regulatory pathways affected by dxr mutant having defects in light response.

Chandran AKN, Lee GS, Yoo YH, Yoon UH, Ahn BO, Yun DW, Kim JH, Choi HK, An G, Kim TH, Jung KH. Chandran AKN, et al. Rice (N Y). 2016 Dec;9(1):17. doi: 10.1186/s12284-016-0089-2. Epub 2016 Apr 14. Rice (N Y). 2016. PMID: 27076183 Free PMC article.

3

Comparative Expression Analysis of Rice and Arabidopsis Peroxiredoxin Genes Suggests Conserved or Diversified Roles Between the Two Species and Leads to the Identification of Tandemly Duplicated Rice Peroxiredoxin Genes Differentially Expressed in Seeds.

Gho YS, Park SA, Kim SR, Chandran AKN, An G, Jung KH. Gho YS, et al. Among authors: chandran akn. Rice (N Y). 2017 Dec;10(1):30. doi: 10.1186/s12284-017-0170-5. Epub 2017 Jun 24. Rice (N Y). 2017. PMID: 28647924 Free PMC article.

4

Genome-wide analysis of root hair-preferential genes in rice.

Moon S, Chandran AKN, An G, Lee C, Jung KH. Moon S, et al. Among authors: chandran akn. Rice (N Y). 2018 Aug 29;11(1):48. doi: 10.1186/s12284-018-0241-2. Rice (N Y). 2018. PMID: 30159808 Free PMC article.

5

Infrastructures of systems biology that facilitate functional genomic study in rice.

Hong WJ, Kim YJ, Chandran AKN, Jung KH. Hong WJ, et al. Among authors: chandran akn. Rice (N Y). 2019 Mar 14;12(1):15. doi: 10.1186/s12284-019-0276-z. Rice (N Y). 2019. PMID: 30874968 Free PMC article. Review.

6

Genome-wide identification and analysis of Japonica and Indica cultivar-preferred transcripts in rice using 983 Affymetrix array data.

Jung KH, Gho HJ, Giong HK, Chandran AK, Nguyen QN, Choi H, Zhang T, Wang W, Kim JH, Choi HK, An G. Jung KH, et al. Rice (N Y). 2013 Aug 10;6(1):19. doi: 10.1186/1939-8433-6-19. Rice (N Y). 2013. PMID: 24280533 Free PMC article.

7

Meta-expression analysis of unannotated genes in rice and approaches for network construction to suggest the probable roles.

Chandran AKN, Bhatnagar N, Yoo YH, Moon S, Park SA, Hong WJ, Kim BG, An G, Jung KH. Chandran AKN, et al. Plant Mol Biol. 2018 Jan;96(1-2):17-34. doi: 10.1007/s11103-017-0675-8. Epub 2017 Oct 30. Plant Mol Biol. 2018. PMID: 29086189

8

Integrated omics analysis of root-preferred genes across diverse rice varieties including Japonica and indica cultivars.

Moon S, Chandran AKN, Gho YS, Park SA, Kim SR, Yoo YH, Jung KH. Moon S, et al. Among authors: chandran akn. J Plant Physiol. 2018 Jan;220:11-23. doi: 10.1016/j.jplph.2017.10.003. Epub 2017 Oct 26. J Plant Physiol. 2018. PMID: 29132026

9

A web-based tool for the prediction of rice transcription factor function.

Chandran AKN, Moon S, Yoo YH, Gho YS, Cao P, Sharma R, Sharma MK, Ronald PC, Jung KH. Chandran AKN, et al. Database (Oxford). 2019 Jan 1;2019:baz061. doi: 10.1093/database/baz061. Database (Oxford). 2019. PMID: 31169887 Free PMC article.

10

Genome-Wide Transcriptome Analysis of Rice Seedlings after Seed Dressing with Paenibacillus yonginensis DCY84^T and Silicon.

Yoo YH, Kim M, Chandran AKN, Hong WJ, Ahn HR, Lee GT, Kang S, Suh D, Kim JO, Kim YJ, Jung KH. Yoo YH, et al. Among authors: chandran akn. Int J Mol Sci. 2019 Nov 23;20(23):5883. doi: 10.3390/ijms20235883. Int J Mol Sci. 2019. PMID: 31771205 Free PMC article.

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