Bioinformatic analysis

Bioinformatic analyses of GRAS genes in Betula kirghisorum based on transcriptome data

C. J. Yang, Li, G. Y., Cui, Y. L., Yang, C. J., Li, G. Y., and Cui, Y. L., Bioinformatic analyses of GRAS genes in Betula kirghisorum based on transcriptome data, vol. 15, p. -, 2016.

The transcriptomes of salt-stressed and unstressed Betula kirghisorum plants were analyzed using high throughput sequencing technology. A total of 52,239,804 and 51,772,998 clean reads were obtained from the two libraries, respectively, and de novo assembled into 60,545 all-unigenes. A total of 39,997 unigenes were annotated using public databases. Overall, 7206 genes were differentially expressed in unigenes and were involved in 127 pathways. Thirteen transcription factor families were identified in B.

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