SINCELLMOD-2020: SINGLE CELL DATA IN NETWORK MODELING
PROGRAM

Days: Tuesday, December 1st Wednesday, December 2nd

Tuesday, December 1st

View this program: with abstractssession overviewtalk overview

13:50-14:00 Session 1
13:50
Introduction (abstract)
14:00
Making optimal use of your single-cell transcriptomic data: Building an analysis pipeline (abstract)
15:00-15:30Cellenion sponsor presentation & Coffee break

cellenONE®: Single Cell Isolation & Nanoliter Dispensing for Omics ApplicationscellenONE® is a revolutionary automated single cell isolation and dispensing systemIt combines gentle piezo-acoustic technology and image-based cell selection to allow highly accurate single cell isolation and miniaturization of library preparation. This unique open platform has already enabled wide ranging applications in both single cell analyses (scRNA-Seq, ATAC-Seq, scWGA and scMS) and cell line development (mAb, Stem Cells, CRISPR/CAS9).

Speaker 

Dr Guilhem Tourniaire, Scientific and Managing Director, Cellenion FRANCE

15:30-17:10 Session 2

Selected Abstracts

15:30
Synthesis of Boolean Networks from Single Cell Trajectory-based Constraints (abstract)
15:55
Metastability and energetic landscape : from Gene Regulatory Networks to cell trajectories (abstract)
16:20
Machine Learning based Data Imputation for Single-Cell ChIP-seq (abstract)
16:45
A multivariate statistical framework for characterizing transcriptional heterogeneity of single-cell profiles from rare diseases (abstract)
Wednesday, December 2nd

View this program: with abstractssession overviewtalk overview

14:00-15:00 Session 3
14:00
The power of ONE: Immunology in the age of single cell genomics (abstract)
15:00-15:50 Session 4

Selected Abstracts

15:00
Causal network approach to identify molecular drivers of haematopoietic fate decisions (abstract)
15:25
A network perspective on macrophage phenotypes in the tumour microenvironment (abstract)
15:50-16:20Coffee Break
16:20-17:20 Session 5
16:20
Single-Cell Computational Systems Biology Approaches to Stem Cell Research and Regenerative Medicine (abstract)