Thematic Sessions


The thematic sessions will takes place on Wednesday, July 3rd afternoon.


1- Bio image informatics: how to generate phenomics in bio imaging (Room H)

by France BioImaging, Bioimage informatics node

Thanks to image analysis, microscopy now produces a larger number of images and also medium, high or very high throughput data flow. New approaches to analyze these spatio-temporal measures are developed, both for data extraction, analysis and classification, with methods that are also sometimes used in bioinformatics (molecular and genetic). The general thematic of this session is the creation of -omic and especially phenotypic data from images taken from the molecular scale at the tissue level.

This session concerns the following major methodological themes:

  • The images filtering to prepare data extraction,
  • The data extraction from images by segmentation or tracking,
  • The analysis of its imaginary -omics data,
  • The management of this data, the associated storage and calculation architectures.

The methods used cover inverse problems and optimization problems, Bayesian methods, graph methods, deep learning and other classification methods applied to data extracted from the image or to the images themselves.

 Session programm available here.


2- Methods for single-cell omics data analysis (Room 200)

 by multi-instituts SinCellTE group

This session will cover bioinformatics processing and biostatistics analyses of datasets obtained at  the  level of a  single  cell.  The focus  is on  genomics,  transcriptomics,  (scRNA-seq, CITE-seq),and epigenomics (scATAC-seq, scHi-C, scChIP-seq) with an opening to flow cytometry. The aim is to highlight the methodologies used, as well as the current limits and challenges prompted by these   datasets.   The   session   also   aims   at   presenting   novel   bioinformatics/biostatistics methodologies  developed  in  French  labs.  The  session  will  also  underline  the  diversity  of biological questions addressed by these omics single-cell experiments

Session programm available here.


3- Make the Omics dark matter talk (Aud 450)

by L. Bittner et E. Pelletier on behalf of  gdr ge

High-throughput sequencing and its relatively low costs lead to the increasing number of omic and meta-omics studies. The amount of data to be analyzed is accumulating, however the majority of current studies remain focused on taxonomically and/or functionally annotated sequences. The purpose of this session is to highlight methodological developments that allow us to exploit as of today the mass of data from the omic dark matter (e.g. sequence similarity networks, co-occurrence networks, protein structure modeling). A common discussion will be dedicated to consider the establishment of a collective structure that encourages the sharing of knowledge obtained from non-annotated sequences.

Session programm available  here.


4- Predictive approaches for biological systems engineering (Room G)

by GDR    logo_biosynsys (J-L. Faulon et G.Truan) and BIOSS group (G. Batt, C. Lhoussaine, E. Remy et A. Siegel) on behalflogo_bim

Synthetic biology has a great potential to address a broad range of biotechnological and biomedical problems. However, after more than a decade of active research, bioengineering has not delivered to expectations. Significant improvements in our capacity to perturb, observe, predict and modify the functioning of biological systems are needed.

The objective of this session is to present current research and open problems relevant to the computational systems biology and bioinformatics communities. We will focus more specifically on approaches that aim at improving our capacities to engineer gene expression and metabolism in a predictable manner at the cellular level.

  Session programm available here


5- Protein structure and design: from sequence to function (Room I)

by MASIM group (G. André-Leroux, F. Cazals, J. Cortes, B. Offmann, Y. Ponty), on behalf gdr new

Structural Bioinformatics as a discipline is particularly well-suited for the functional exploitation of OMICS data in the context of cellular networks and/or complex communities. Its main goal is to decipher sequence-structure-dynamics-function relationships within complex systems, embedded in their biological processes. This domain integrates experimental data produced by biophysical protocols, using efficient methods and algorithms contributed by applied mathematics and computer science, and benefits from the overwhelming capacities of supercomputers.

The content of the event will be dedicated to the latest development addressing the in silico modeling of 3D structures for biological systems, and its correlation with biological functions based on the integration of sequencing data, leading to applications in protein design.

 Session programm available here.



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