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Updated: Nov 29, 2025

Precise, High-throughput Analysis of Bacterial Growth
Published on: September 19, 2017
An analysis of non-cultivable bacteria using WEKA
Pritee Chunarkar Patil1, Pradnya Suresh Panchal1, Shweta Madiwale1
1Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune, Maharashtra, India.
Abstract:
The study of metagenomics from high throughput sequencing data processed through Waikato Environment for Knowledge Analysis (WEKA) is gaining momentum in recent years. Therefore, we report an analysis of metagenome data generated using T-RFLP 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.

