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Data set for transcriptome analysis of Apocynum venetum L
- 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.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Multidisciplinary
ved/biology
ved/biology.organism_classification_rank.species
Computational biology
Biology
lcsh:Computer applications to medicine. Medical informatics
01 natural sciences
Transcriptome
03 medical and health sciences
030104 developmental biology
Kegg database
lcsh:R858-859.7
Transcriptome Profiles
Apocynum venetum
lcsh:Science (General)
lcsh:Q1-390
010606 plant biology & botany
Subjects
Details
- ISSN :
- 23523409
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.doi.dedup.....cdc9783fdd4d0ceb6fe5e4d2dca1bccb