Workshop on Computational Single Cell Biology at ISMB in Boston

We are organizing a workshop for the Special Interest Group on Computational Single Cell Biology that will take place in conjunction with ISMB in Boston, USA on July 12, 2014 (CSCB14). 

by Nicola Zamboni

This meeting is designed to provide a productive and interactive forum for an interdisciplinary audience interested in computational single cell biology.

This workshop will comprise exciting keynote presentations from invited speakers sharing their latest results on single cell driven biology, cutting edge technology development and mathematical modeling approaches. Furthermore, we aim to involve the community by setting up a competitive abstract call whose successful participants will share their research in poster sessions and oral presentations.

More information

Program

Session 1: Single cell biology

09.00 Opening remarks
09.15 Timm Schröder Long-term single cell quantification: New tools for old questions
09.45 Matthias Peter Quantitative single cell analysis to study stress and cell polarity signaling in yeast
10.15 Coffee break
10.45 Tobias Meyer Distinct cell cycle entry and exit decisions investigated with live cell cycle sensors
11.00 Talk abstract 4 Computational framework to characterise heterogeneity in mouse embryonic stem cells
under different conditions
11.15 Talk Fluidigm
11.30 Poster session
12.30 Lunch

Session 2: Single cell analysis technologies

14.00 Garry Nolan A Definable “Structure” for the Immune System and Cancers at the Single Cell Level
14.30 Tomer Kalisky Single-cell gene expression in tissues, tumors, and cell lines
15.00 Matthias Meier Microfluidic integration of the proximity ligation assay for signaling studies on the single cell level
15.30 Coffee break Session 3: Single cell computational modeling approaches
16.00 Talk abstract 9 Learning regulatory circuits from single cell transcriptomics
16.15 Talk Cytobank
16.30 Daniel Gerlich
Cellular phenotype discovery by outlier detection in high-content screening
17.00 Fabian Theis Accounting for latent processes in single-cell expression data
17.30 Mustafa Khammash Analysis and Inference of Stochastic Networks using the Chemical Master Equation
18.00 Discussion
18.45 Concluding remarks

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