An analysis of non-cultivable bacteria using WEKA

Bioinformation
Pritee Chunarkar PatilVidya Sunil Tale

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.

Citations

Jun 3, 2021·International Journal of Environmental Research and Public Health·Amarawan PentrakanWing-Keung Wong

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Methods Mentioned

BETA
electrophoresis
biopsies
PCR

Software Mentioned

Basic Local Alignment Search Tool ( BLAST )
WEKA
BLAST

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