PRJNA551721
De novo transcriptome assembly databases for Cymbidium
Cymbidium are renowned for attractive flowers and cultural value. After thousands of years of cultivation history, its taxonomic treatment has always been a great challenge. Here, we present transcriptome data from 42 Cymbidium spp. Samples from each species were mixture with flower bud, flower and leaf. The first dataset is the raw reads, which can be used to execute new experiments with other analysis methods. The second dataset includes the sets of assemblies and predicted coding sequences and proteins, enabling a sequence-based search. These transcriptomic datasets will be helpful to resolving and understanding the identification and phylogeny of Cymbidium, to guide future cross breeding.