Journal Club

AHMRN Journal Club

Working in the field of human microbiome research? 

Join us for our AHMRN Journal Club where we get to the nitty gritty of microbiome study methods and practical issues.

To keep the Journal Club on track we've put together some brief guidelines below. Please have a look at these before presenting.


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Next Journal Club

Informal Bioinformatics Seminar

Hosted by the Monash Genomics and Bioinformatics Platform in conjunction with the Australasian Human Microbiome Research Network

Please join us for: Metagenomics and the microbiome: disentangling complex biology from complex data

Date: Wed 09 August 2023

Time: 2:30pm AEST

Venue: Bld 76, 19 Innovation Walk, level 2, room 204 (central meeting room opposite lifts),
Monash University Clayton Campus




Our understanding of the role and significance of the human microbiome in health and disease has been spearheaded by major developments in DNA sequencing technologies, as well as conceptual and methodological advances in the field of metagenomics. In my talk, I'll discuss the challenges of doing data-driven research on the gut microbiome, using my recent work on faecal microbiota transplantation as a case study (Science 2016, PMID:27126044; Nature Medicine 2022, PMID: 36109636).

Simone is a computational biologist and NHMRC CJ Martin Research Fellow, and leads the new Microbiome Systems research group at the Biomedicine Discovery Institute at Monash University.
Trained as an engineer in Sydney at the University of New South Wales, she's happy to be back in Australia after doing her PhD in Germany (EMBL, Heidelberg) and a postdoc in Denmark (Novo Nordisk Foundation Center for Biosustainability, Copenhagen) that was supported by a competitive EMBO Fellowship. Her research has often bridged discovery and translational sciences - spanning systems biology, metagenomics and antimicrobial resistance in both clinical and biotechnology contexts.
Simone and her team will use bioinformatics, microbiomics and machine learning approaches to study microbial communities in their native ecosystems and create data-oriented methods to analyse and disentangle the biological complexity contained within them. One focus will be to look at how the microbes collectively respond to human-mediated interventions and identify ways we can leverage this information to enable improved and rational design of sustainable microbiome-based therapeutic and remediation strategies.