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Items: 8

1.

Augmentation of crop productivity through interventions of omics technologies in India: challenges and opportunities.

Pathak RK, Baunthiyal M, Pandey D, Kumar A.

3 Biotech. 2018 Nov;8(11):454. doi: 10.1007/s13205-018-1473-y. Epub 2018 Oct 19. Review.

PMID:
30370195
2.

Rice Improvement Through Genome-Based Functional Analysis and Molecular Breeding in India.

Agarwal P, Parida SK, Raghuvanshi S, Kapoor S, Khurana P, Khurana JP, Tyagi AK.

Rice (N Y). 2016 Dec;9(1):1. doi: 10.1186/s12284-015-0073-2. Epub 2016 Jan 7.

3.

ptRNApred: computational identification and classification of post-transcriptional RNA.

Gupta Y, Witte M, Möller S, Ludwig RJ, Restle T, Zillikens D, Ibrahim SM.

Nucleic Acids Res. 2014 Dec 16;42(22):e167. doi: 10.1093/nar/gku918. Epub 2014 Oct 10.

4.

Plant microRNA-target interaction identification model based on the integration of prediction tools and support vector machine.

Meng J, Shi L, Luan Y.

PLoS One. 2014 Jul 22;9(7):e103181. doi: 10.1371/journal.pone.0103181. eCollection 2014.

5.

A comparison of performance of plant miRNA target prediction tools and the characterization of features for genome-wide target prediction.

Srivastava PK, Moturu TR, Pandey P, Baldwin IT, Pandey SP.

BMC Genomics. 2014 May 8;15:348. doi: 10.1186/1471-2164-15-348.

6.

Biogenesis, turnover, and mode of action of plant microRNAs.

Rogers K, Chen X.

Plant Cell. 2013 Jul;25(7):2383-99. doi: 10.1105/tpc.113.113159. Epub 2013 Jul 23. Review.

7.

miReader: Discovering Novel miRNAs in Species without Sequenced Genome.

Jha A, Shankar R.

PLoS One. 2013 Jun 21;8(6):e66857. doi: 10.1371/journal.pone.0066857. Print 2013.

8.

Finding microRNA targets in plants: current status and perspectives.

Ding J, Zhou S, Guan J.

Genomics Proteomics Bioinformatics. 2012 Oct;10(5):264-75. doi: 10.1016/j.gpb.2012.09.003. Epub 2012 Oct 23. Review.

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