Bernd Jagla is a chemist turned bioinformatician currently working on a R/Shiny application for single-cell RNAseq data analysis called SCHNAPPs, as well as unsupervised cytometry data analysis concentrating on the application of self-organizing maps for high-dimensional cytometry data.
He received his Ph.D. in bioinformatics (department of Biology, Chemistry, and Pharmacy) from the Free University in Berlin, Germany in 1999. Before joining the Institut Pasteur, he worked for almost ten years in New York City, including as an associate research scientist in the Joint Centers for System Biology (Columbia University) and at the Columbia University Screening Center led by Dr. J.E. Rothman. He joined the Institut Pasteur in 2009 to take charge of the bioinformatic needs at the Transcriptome et Epigenome platform, focusing on Next Generation Sequencing. As of 2016, he is a member of the C3BI – HUB Team detached to the Human immunology center (CIH) and provides support for cytometry, next-generation sequencing, and microarray data analysis. His areas of interest include quality assurance and data analysis and visualization at the facility. He also has strong expertise in developing algorithms for function prediction from sequence data, image analysis, analysis of mass spectrometry data, workflow management systems. While at Pasteur he developed:
- SCHNAPPs (Link)
- Ideal4AdvIMM (Link)
- KNIME extensions for Next Generation Sequencing (Link)
- Post Alignment Visualization and Characterization of High-Throughput Sequencing Experiments (Link)
- Post Alignment statistics of Illumina reads (Link)