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

BACKGROUND: Accumulation of genome-wide transcriptome data provides new insight on a genomic scale which cannot be gained by analyses of individual data. The majority of rice (O. sativa) species are japonica and indica cultivars. Genome-wide identification of genes differentially expressed between j...

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Detalles Bibliográficos
Autores principales: Jung, Ki-Hong, Gho, Hyun-Jung, Giong, Hoi-Khoanh, Chandran, Anil Kumar Nalini, Nguyen, Quynh-Nga, Choi, HeeBak, Zhang, Tian, Wang, Wen, Kim, Jin-Hyun, Choi, Hong-Kyu, An, Gynheung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer New York 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883688/
https://www.ncbi.nlm.nih.gov/pubmed/24280533
http://dx.doi.org/10.1186/1939-8433-6-19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883688/
https://www.ncbi.nlm.nih.gov/pubmed/24280533
http://dx.doi.org/10.1186/1939-8433-6-19

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