Data set for transcriptome analysis of Apocynum venetum L.

In this paper, we present the transcriptome profiles of the A. venetum L. by RNA-Seq approach. A total of 6.57 Gb raw data were obtained, and 52,983 unigenes with an average length of 1009 bp and N50 of 1632 bp were annotated with the 7 databases. The unigenes annotated to KEGG database were divided...

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Detalles Bibliográficos
Autores principales: Chen, Ping, Gao, Gang, Yu, Chunming, Chen, Jikang, Chen, Kunmei, Zhu, Aiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160392/
https://www.ncbi.nlm.nih.gov/pubmed/30271870
http://dx.doi.org/10.1016/j.dib.2018.08.207
Descripción
Sumario:In this paper, we present the transcriptome profiles of the A. venetum L. by RNA-Seq approach. A total of 6.57 Gb raw data were obtained, and 52,983 unigenes with an average length of 1009 bp and N50 of 1632 bp were annotated with the 7 databases. The unigenes annotated to KEGG database were divided into 21 categories from 6 main groups. Among these, 4952 (22.21%) unigenes were clustered to “Global and overview maps”, and 1834 (8.23%) unigenes were clustered to “Carbohydrate metabolism”. In addition, 6340 unigenes containing 7579 SSRs were identified and the mononucleotide, dinucleotide, trinucleotide motifs were the most common motif type (95.59%), accounting for 39.62%, 36.02%, and 19.95%, respectively.

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