
Scientific presentations on developments in genome bioinformatics and computational biology.
| Publishes | Infrequently | Episodes | 9 | Founded | 14 years ago |
|---|---|---|---|---|---|
| Categories | ScienceNatural Sciences | ||||

Aleksandar Radovanovic, Quantum Computing Institute, Cape Town (QCI CT) speak on "Towards Quantum Bioinformatics".
Hasan H. Otu, Professor of Electrical and Computer Engineering University of Nebraska–Lincoln, USA speaks on "Utilization of Bayesian Networks in Systems Biology".
Guido Sanguinetti, Professor of Computational Bioinformatics, School of Informatics & SynthSys, Edinburgh, UK and SISSA, Trieste, ITALY sparks on "Probabilistic machine learning applied to single-cell ‘omics: splicing analysis and epigenome clusterin... more
Dario Di Silvestre, Institute for Biomedical Technologies-National Research Council, Milan, ITALY speaks on “Network-based approaches for investigating complex diseases by using high-throughput proteomics data". This seminar has been recoded by ICGEB... more
Somdatta Sinha, Department of Biological Sciences Indian Institute of Science Education & Research (IISER) Mohali - INDIA speaks on " Modelling Infectious Disease: from genomes to populations". This seminar has been recorded by ICGEB Trieste
Sabrina PRICL MOSE-DEA, University of Trieste, Trieste, ITALY speak on “Of (computer, cells) mice and men: integration of simulations and experiments in life science””. This seminar has been recorded by ICGEB Trieste
Paolo Carloni, Institute for Advanced Simulation IAS-5 Germa Research School, FZJ and RWTH-Aachen - GERMANY speaks on "Computational Molecular Medicine". This seminar has been recorded by ICGEB Trieste
Diego Di Bernardo,Telethon Institute of Genetics and Medicine, TIGEM, Naples, ITALY, speaks on "Gene and Drug Networks to elucidate gene function and drug mode of action". This seminar has been recorded by ICGEB Trieste
This was a great demonstration on how Microarray data lying redundant in databases can be used together with NGS data to identify disease-causal variants (co-expressed in a disease phenotype) and map them to a locus.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #175 | |
Apple Podcasts | #224 |










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Bioinformatics launched 14 years ago and published 9 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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