Bioinformatics Webinars Series
Over the last years, our understanding of physiological phenomena like cell differentiation, or their aberrant counterpart, tumorigenesis, has been enhanced by major progress on data acquisition at different granularity levels, from the ultrastructure of molecules to the organization of cells and tissues. For instance, major efforts in high resolution cryo- Electron Microscopy (EM) to visualize single molecules in their native states allow to reveal the three-dimensional organization of macromolecular complexes. Similarly, the combination of molecular biology strategies with massive parallel sequencing interrogates protein-DNA interactions involved in transcription regulation and , DNA 3-dimensional organization. The combination of cell imaging with molecular biology labelling strategies and spatial proteomics is opening the window to a molecular characterization of the cellular context, which as a whole is responsible to define cell identity as well as tissue substructure organization.
At each of these levels, the amount of data collected as well as their complexity, requires sophisticated bioinformatics solutions. We need to distinguish meaningful biological readouts from technical noise on the one hand, and summarize and integrate them into a condensed output for enhanced comprehension on the other hand. Indeed, the transition of biology into a data science requests for major investments in algorithm developments. Pipe-lines need to be designed for the granularity level at which the data has been acquired, but also providing means for interconnecting data at different levels. As part of the following Bioinformatics webinar series, we aim at getting the analytical perspective provided by major scientist leading bioinformatics developments at different levels of granularity. We expect that this event will contribute to the training of the new generations of quantitative biologists.
Marco A. Mendoza-Parra & Kristine Schauer
Speakers at a glance
Click on pictures for details
iCube - France
IBENS - France
CBiB - France
INRIA - France
"Integration of heterogenous data in structural biology"
"Single cell Omics
"Spatial Omics in
an intracellular context"
EMBL - Germany
"Leveraging Biological Knowledge to Extract Disease Mechanisms from Spatial & Multi-omics data"
"Deep Learning application in
biological imaging segmentation"
"Intratumoral transcriptional heterogeneity in cancer"
"A.I. application to
January 21, 2022 - 1pm CET
"The rise of deep learning in image analysis and
its application for segmentation in
June 10, 2022 - 1pm CET
"AI approaches to find molecules in a
[Final Title to come]
July 8, 2022 - 1pm CET
Julio Saez-Rodriguez, PhD
Team Leader - Professor
Faculty of Medicine of
Director of the Institute of Computational Biomedicine
Group Leader at the
EMBL- Heidelberg University