Title
An analysis of non-cultivable bacteria using WEKA
Authors
Preeti Mangesh Patil*, Pradnya Suresh Panchal, Shweta Madiwale, Vidya Tale
Affiliation
Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune, Maharashtra, India
Preeti Mangesh Patil - Email - preetichunarkar@gmail.com; *Corresponding author
Article Type
Research Article
Date
Submitted on February 18, 2020; Revision July 21, 2020; Accepted July 25, 2020; Published August 31, 2020
Abstract
The study of metagenomics using Next Generation Sequencing (NGS) data in the Waikato Environment for Knowledge Analysis (WEKA) is gaining momentum in recent years. Therefore, we report an analysis of metagenome data generated using Next Generation sequencing followed by using the SMO (Sequential minimal optimization) algorithm in WEKA to identify the total amount of cultured and uncultured microorganism present in the sample collected from multiple sources.
Keywords
Metagenomics, Next Generation Sequencing, Uncultured microorganisms, WEKA, SMO algorithm
Citation
Patil et al. 2020 Bioinformation 16(8): 620-624 (2020)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
