Where Software and Biology Connect
Current developments within and beyond the Bioconductor project
Workshops, keynote presentations, and more
There will be a physical job board and everyone is welcome to announce jobs and share CVs on that
Venue: Germany, Heidelberg, Center for Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant)
In conjunction with the EuroBioC conference, we are organizing a Carpentries workshop "Introduction to R and Bioconductor" on September 12-13.
Tune in for the EuroBioC2022 live stream on YouTube, starting September 14, 9:15 Central European Summer Time. Check the Bioconductor YouTube channel for up-to-date video recordings.
Ask questions on Slido.com, code 1680070.
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Dr. Ghazanfar obtained her PhD in statistics from the University of Sydney. For postdoctoral research, she joined the Cancer Research UK Cambridge Institute, with a keen interest in interdisciplinary and collaborative research. She will be starting a Discovery Early Career Researcher Award (DECRA) at the University of Sydney in 2022. Shila develops statistical and computational methods for understanding cellular heterogeneity and interaction using spatial genomics at single cell resolution and leveraging non-spatial single cell data sources. https://shazanfar.github.io/, https://twitter.com/shazanfar
Michael Dorrity has a PhD in Biology from the University of Washington (UW), Seattle. He did postdoctoral research with Cole Trapnell in the Department of Genome Sciences at UW, applying single-cell genomic and statistical approaches to dissect the effects of temperature in individual developing zebrafish embryos. He joined EMBL in Heidelberg as Group leader in January 2022, aiming to understand mechanisms of developmental robustness in the face of a changing environment using modern single-cell technologies and computational methods. https://www.embl.org/groups/dorrity/, https://twitter.com/mwdorr
Dr. Zaugg is a group leader at EMBL, where she investigates the variation of molecular phenotypes among individuals along with their genetic and epigenetic variation with the aim of better understanding the molecular basis of complex genetic diseases and inter-individual differences in drug response. She applies and develops computational biology tools for integrating large-scale biological ‘omics data to address questions in personalised genomics and investigate basic gene regulatory mechanisms. Dr. Zaugg obtained her undergraduate training in systems biology at the ETH Zurich and her PhD at the University of Cambridge / EMBL-EBI on computational biology of epigenetics and nuclear organization. She did postdoctoral research with Mike Snyder at the Department of Genetics at Stanford University. https://www.zaugg.embl.de/, https://twitter.com/zauggj
Björn Grüning works at the Institute of Computer Science, University of Freiburg. He leads the Freiburg Galaxy team, which supports scientists with NGS data analyses (RNA-seq, ChIP-seq, exome-seq, methylC-seq), genome annotation for eukaryotic and prokaryotic organisms (from gene prediction to functional description), proteomics and metabolomics analysis, and the ChemicalToolBoX for analysis of small compounds. Galaxy has a huge variety of data visualization tools, over 800 different analysis tools, and ready-to-use pipelines for different applications. After registration, all tools and the infrastructure for data analysis are freely available and can be used for creation of your own workflows for your specific projects. https://twitter.com/bjoerngruening
Julio Saez-Rodriguez is Professor of Medical Bioinformatics and Data Analysis at the Faculty of Medicine of Heidelberg University, director of the Institute for Computational Biomedicine, group leader of the EMBL-Heidelberg University Molecular Medicine Partnership Unit, a member of the Heidelberg ELLIS Unit, and a co-director of the DREAM challenges. He holds a PhD (2007) in Chemical Engineering. He was a postdoctoral fellow at Harvard Medical School and M.I.T (2007- 2010), group leader at EMBL-EBI, Cambridge (2010-2015), and professor of Computational Biomedicine at RWTH Aachen (2015-2018). He is interested in developing and applying computational methods to acquire a functional understanding of cellular networks and their deregulation in disease, and to apply this knowledge to develop novel therapeutics. Current emphasis in his group is on use of single-cell technologies, multi-omics integration, and understanding multi-cellular communication, with applications focuse on cancer as well as cardiovascular disease. More information at www.saezlab.org
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