Reduced representation genotyping using NGS for bacterial identification, typing, discovery and genomic analysis
IAE Seminar Series
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- Environmental Science
- Institute for Applied Ecology
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Bacterial identification methods used for routine identification in medical and environmental microbiology include a combination approach of biochemical tests, mass spectrometry or molecular biology techniques. Extensive publicly available databases of DNA sequence data from pathogenic bacteria have been amassed in recent years; this provides an opportunity for using bacterial DNA sequencing for identification purposes. One approach involves whole genome sequencing, which is still relatively expensive; on the other hand, complexity-reduced bacterial genome sequencing provides an alternative. This research evaluates genome complexity-reduction using restriction enzymes and subsequent sequencing of generated restriction fragments to identify bacterial isolates.
Berenice Talamantes Becerra is a PhD student at the Institute for Applied Ecology, University of Canberra.
Her research uses complexity reduced genotyping data for bacterial identification and strain tying. Her recent studies include the development of a bioinformatics pipeline to automate big data analysis in research. Automation enables time-savings, facilitates reproducibility and reduces the probability of human mistakes.