An analysis of non-cultivable bacteria using WEKA
| Autor: | Shweta Madiwale, Pritee Chunarkar Patil, Pradnya Suresh Panchal, Vidya Sunil Tale |
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| Rok vydání: | 2020 |
| Předmět: |
SMO algorithm
0303 health sciences Momentum (technical analysis) 030306 microbiology Computer science 02 engineering and technology General Medicine Computational biology Cultivable bacteria Uncultured microorganisms DNA sequencing 03 medical and health sciences T-RFLP Metagenomics WEKA 0202 electrical engineering electronic engineering information engineering Sequential minimal optimization 020201 artificial intelligence & image processing Research Article |
| Zdroj: | Bioinformation |
| ISSN: | 0973-2063 0973-8894 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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