Identification of novel flowering genes using RNA-Seq pipeline employing combinatorial approach in Arabidopsis thaliana time-series apical shoot meristem data

S. Deshpande; A. James; C. Franklin; J. Yang; Lindsey Compton

doi:10.1504/IJBRA.2020.104853

Identification of novel flowering genes using RNA-Seq pipeline employing combinatorial approach in Arabidopsis thaliana time-series apical shoot meristem data

S. Deshpande, A. James, C. Franklin, J. Yang, Lindsey Compton

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	25
Number of pages	58
Journal	International Journal of Bioinformatics Research and Applications
Volume	16
Issue number	1
DOIs	https://doi.org/10.1504/IJBRA.2020.104853
Publication status	Published - 2020

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10.1504/IJBRA.2020.104853

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title = "Identification of novel flowering genes using RNA-Seq pipeline employing combinatorial approach in Arabidopsis thaliana time-series apical shoot meristem data",

author = "S. Deshpande and A. James and C. Franklin and J. Yang and Lindsey Compton",

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language = "English",

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journal = "International Journal of Bioinformatics Research and Applications",

issn = "1744-5485",

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Identification of novel flowering genes using RNA-Seq pipeline employing combinatorial approach in Arabidopsis thaliana time-series apical shoot meristem data. / Deshpande, S.; James, A.; Franklin, C. et al.
In: International Journal of Bioinformatics Research and Applications, Vol. 16, No. 1, 2020, p. 25.

Research output: Contribution to journal › Article › peer-review

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AU - James, A.

AU - Franklin, C.

AU - Yang, J.

AU - Compton, Lindsey

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DO - 10.1504/IJBRA.2020.104853

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