Reverse mathematical methods for reconstructing molecular dynamics in single cell
Partially supported by the Biophysical Society
15 October 2018 - 19 October 2018This event is part of an intensive research period:
Advanced asymptotics of PDEs, modeling and extreme statistics and their applications to data analysis in cell biology.
Aims
The latest developments in sequencing and high resolution imaging have led to a recent surge of datasets, requiring new mathematical and statistical methods to analyze the biological dynamics associated with gene expression and transport at atomic and single cell level.
The aim of this workshop will be to present most recent modeling and reconstruction methods, applied to recent datasets in single cell imaging and sequencing, to provide a quantitative description of the cell structure and dynamics. It will have sufficient freedom for participants to hopefully generate new research collaborations and approaches to deal with challenging problems in this area.
Research Directions
The workshop will be divided into complementary sessions focusing on
1) stochastic transport and cell structure
2) techniques and applications in image analysis (time series analysis, single molecule tracking, super resolution imaging)
3) gene expression (single cell data, gene network inference, stochastic models of transcription and translation).
The talks will also be accompanied by introductory lectures for the students and participants to get familiar with the topics of the meeting.
Please view Planned activities for more.
Acknowledgement:
This workshop is partially sponsored by the Biophysical Society.
(For students interested in participating, please see the Financial Support section)