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Printable Handouts
Navigable Slide Index
- Introduction
- Problem statement
- Current state of research
- Problem statement, during sequencing
- Sequencing products
- Optimal sequencing outcomes
- LiveTools - Overview
- PathoLive - Workflow
- PathoLive - Visualization (1)
- PathoLive - Visualization (2)
- PathoLive - Results
- PathoLive tool demo
- Conclusion
- Availibility
- Thank you!
Topics Covered
- Pathogen detection
- Sequencing
- Human genome
- PathoLive: overview, workflow, and visualization
- Pathogen hazardousness and abundance
Links
Series:
- Genomics and Clinical Microbiology
- Periodic Reports: Advances in Clinical Interventions and Research Platforms
Categories:
Therapeutic Areas:
External Links
Talk Citation
Tausch, S. (2021, April 28). PathoLive: pathogen detection while sequencing [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved October 13, 2024, from https://doi.org/10.69645/XNLT7230.Export Citation (RIS)
Publication History
Financial Disclosures
- There are no commercial/financial matters to disclose.
Other Talks in the Series: Genomics and Clinical Microbiology
Other Talks in the Series: Periodic Reports: Advances in Clinical Interventions and Research Platforms
Transcript
Please wait while the transcript is being prepared...
0:00
Hello, welcome to my presentation here at HSTalks.
My name is Simon Tausch,
and the work I'm presenting today was produced at the Robert Koch Institute,
where I was working for the Center for Biological Threats
and Special Pathogens, and also for the bioinformatics division.
The title of the talk is 'PathoLive: Pathogen Detection While Sequencing'.
The aim of the project was to enable medical doctors
to diagnose patients using next-generation sequencing
and to do that in a timely manner,
meaning we are analyzing the data while the sequences are
running to then detect pathogens in metagenomic samples.
0:39
The problem we were facing back at my time at
the Robert Koch Institute was that we got many samples
of patients with fever of unknown origin, or
patients with zoonotic infections and that kind of illness.
Generally, diagnostic methods often fail in
these extraordinary cases because
medical doctors do not really know what they are looking for in a sample.
There are some obvious ways of diagnosing a patient when somebody has a
cold, and the doctor can just look at him or her and see the result pretty quickly,
but in more extraordinary cases
it may be more difficult to get a good diagnosis.
This is, as I said,
often the case when we have novel pathogens
which have just emerged and we do not know yet,
or we may have zoonotic agents which also emerge from time to time.
Especially in outbreak situations as we have recently seen in
the huge and very bad Ebola outbreak in Africa,
we need rapid diagnostic systems to tackle those outbreaks in a timely manner.