Evaluation of Arabian Vascular Plant Barcodes (rbcL and matK): Precision of Unsupervised and Supervised Learning Methods towards Accurate Identification

Evaluation of Arabian Vascular Plant Barcodes (rbcL and matK): Precision of Unsupervised and Supervised Learning Methods towards Accurate Identification

Arabia is the largest peninsula in the world, with >3000 species of vascular plants. Not much effort has been made to generate a multi-locus marker barcode library to identify and discriminate the recorded plant species. This study aimed to determine the reliability of the available Arabian plant...

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Bibliographic Details
Main Authors: Rahul Jamdade, Maulik Upadhyay, Khawla Al Shaer, Eman Al Harthi, Mariam Al Sallani, Mariam Al Jasmi, Asma Al Ketbi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Plants
Subjects:
Arabian Peninsula
plant DNA barcoding
unsupervised method
supervised learning
alignment and alignment-free analysis
Online Access:https://www.mdpi.com/2223-7747/10/12/2741

Internet

https://www.mdpi.com/2223-7747/10/12/2741

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