8 avsnitt
Bioinformatics ICGEB Podcasts
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- Vetenskap
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5,0 • 1 betyg
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Scientific presentations on developments in genome bioinformatics and computational biology.
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- video
A. Radovanovic - Towards Quantum Bioinformatics
Aleksandar Radovanovic, Quantum Computing Institute, Cape Town (QCI CT) speak on "Towards Quantum Bioinformatics".
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- video
Hasan H. Otu - Utilization of Bayesian Networks in Systems Biology
Hasan H. Otu, Professor of Electrical and Computer Engineering University of Nebraska–Lincoln, USA speaks on "Utilization of Bayesian Networks in Systems Biology".
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- video
G. Sanguinetti - Probabilistic machine learning applied to single-cell ‘omics: splicing analysis and epigenome clustering in single cells
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 clustering in single cells". This movie has been recorded at ICGEB Trieste, Italy.
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- video
D. Di Silvestre - Network-based approaches for investigating complex diseases by using high-throughput proteomics data
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 Trieste
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- video
S. Sinha - Modelling Infectious Disease: from genomes to populations
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
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- video
P. Carloni - Computational Molecular Medicine
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
Kundrecensioner
Microarray and NGS are complementary
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.