Tackling Single Cell Data by Informatics/Biostatistics

Science Magazine has chosen single-cell analyses of gene activity through time as its 2018 Breakthrough of the Year. This one-day workshop aims at an introduction to an up-and-coming topic (cf “Human Cell Atlas”, “LifeTime”) for which data analysis is a major challenge, given the amount and scope of the datasets being generated. While currently still basic research, clinical applications are around the corner. A specific emphasis is given to longitudinal datasets, which are especially suitable for studying the development of disease and progression of aging processes. The workshop is co-sponsored by the German Stem Cell Network (GSCN).

Organizers: Georg Fuellen and Harald Binder
Chairs: Georg Fuellen and Martin Treppner

Session 1: Single-Cell analyses, Aging and Stem Cell Data, an Introduction
10:00-10:05h Introduction to the Workshop (Georg Fuellen, Martin Treppner)

10:00-10:35h João Pedro de Magalhães, Liverpool,
Transcriptomics, single-cell sequencing and ageing

10:35-11:00h Martin Treppner, Freiburg,
Where deep learning meets single cell gene expression data

11:00-11:30h Antonio del Sol*, University of Luxemburg,
Single cell-based Multi-scale modelling in stem cell research

Session 2: Applications of Single-Cell data
14:00-14:25h Antonio Scialdone*, Institute of Epigenetics and Stem Cells (IES), Helmholtz Zentrum München
Investigating cell competition in mouse embryos by single-cell transcriptomics and mathematical modelling

14:25-14:40h Markus Wolfien, Rostock,
Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

14:45-15:00h Anne-Marie Galow, Dummerstorf (contributed talk),
Integrative cluster analysis of whole hearts reveals proliferative cardiomyocytes

15:00-15:15h: Cyril Lagger, Liverpool (contributed talk),
Investigating age-related dysregulation of intercellular communication from single-cell data

15:15-15:30h Benedikt Obermayer, Berlin (contributed talk),
Variant analysis in single-cell transcriptomics

Session 3: Tabula Muris Senis: a Keynote from the Pacific
16:00-17:00h Angela Pisco, Chan Zuckerberg Biohub,
Tabula Muris Senis: looking at the hallmarks of aging through the transcriptomic lens

17:00-17:30 Uhr Diskussion

Online Registry https://access.online-registry.net/gmds-tmf-2021/download/sessionlist/overview.html