The LSBG is using microfluidics, high-throughput sequencing, single cell genomics, large-scale yeast screens, and computational approaches to characterize the regulatory code in Drosophila and mammals and to examine how variations in this code affect molecular and organismal diversity.
The Deplancke Lab was recently awarded a Swiss Cancer League Grant, a PHRT Technology Grant, a Jebsen Foundation Grant on Metabolism, an AnimalFreeResearch Grant, an interdisciplinary PhD fellowship grant from the EPFL, as well as a Chan Zuckerberg Foundation Grant.
Understanding mesenchymal stem cell function and the regulatory mechanisms underlying white and brown adipogenesis
ASAP: a Web-based platform for the analysis and inter-active visualization of single-cell RNA-seq data (Gardeux et al. Bioinformatics, 2017)
Gene- or transcript-specific primer design for real-time PCR (Gubelmann et al., Database, 2012)
Primer-initiated de novo sequence synthesis for clone identification (cDNA screens), validation, and genomic annotation (indels) (Massouras et al., Nature Methods, 2010)
Detection of amplification-biased sites in allele-specific analysis of ChIP-seq data (Waszak et al., Bioinformatics, 2014)
"Transcription factor-DNA Interaction Detection in Yeast". Software to detect positive interactions in 384-well format in yeast one- and two-hybrid screens (Hens et al., Nature Methods, 2011)