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Data set for transcriptome analysis of Apocynum venetum L

Authors :
Jikang Chen
Zhu Aiguo
Gao Gang
Ping Chen
Chen Kunmei
Chunming Yu
Source :
Data in Brief, Vol 20, Iss, Pp 1739-1744 (2018)
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

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.

Details

ISSN :
23523409
Volume :
20
Database :
OpenAIRE
Journal :
Data in Brief
Accession number :
edsair.doi.dedup.....cdc9783fdd4d0ceb6fe5e4d2dca1bccb