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Generating long-read sequences using Oxford Nanopore Technology from Diospyros celebica genomic DNA
- Source :
- BMC Research Notes, BMC Research Notes, Vol 14, Iss 1, Pp 1-4 (2021)
- Publication Year :
- 2021
- Publisher :
- BioMed Central, 2021.
-
Abstract
- Objectives Development of sequencing technology has opened up vast opportunities for tree genomic research in the tropics. One of the aforesaid technologies named ONT (Oxford Nanopore Technology) has attracted researchers in undertaking testings and experiments due to its affordability and accessibility. To the best of our knowledge, there has been no published reports on the use of ONT for genomic analysis of Indonesian tree species. This progress is promising for further improvement in order to acquire more genomic data for research purposes. Therefore, the present study was carried out to determine the effectiveness of ONT in generating long-read DNA sequences using DNA isolated from leaves and wood cores of Macassar ebony (Diospyros celebica Bakh.). Data description Long-read sequences data of leaves and wood cores of Macassar ebony were generated by using the MinION device and MinKnow v3.6.5 (ONT). The obtained data, as the first long-read sequence dataset for Macassar ebony, is of great importance to conserve the genetic diversity, understanding the molecular mechanism, and sustainable use of plant genetic resources for downstream applications.
- Subjects :
- 0301 basic medicine
Technology
lcsh:Medicine
ONT
Computational biology
Data Note
Genome
General Biochemistry, Genetics and Molecular Biology
DNA sequencing
03 medical and health sciences
Nanopores
0302 clinical medicine
Diospyros celebica
030212 general & internal medicine
lcsh:Science (General)
lcsh:QH301-705.5
Scaffolds
Genetic diversity
biology
lcsh:R
High-Throughput Nucleotide Sequencing
General Medicine
DNA
Genomics
Sequence Analysis, DNA
Diospyros
biology.organism_classification
Long-read sequences
genomic DNA
030104 developmental biology
lcsh:Biology (General)
Indonesia
Minion
Nanopore sequencing
Tree species
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 17560500
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- BMC Research Notes
- Accession number :
- edsair.doi.dedup.....c47badc98114f36665a3962677c01e43