Where: Department of Genetics, University Medical Center Groningen, The Netherlands
When: as soon as possible
Are you interested in the highly exciting next generation sequencing technologies?
Do you have a strong background in molecular biology?
Do you like to work in a dynamic genetics and bioinformatics team at the fore-front of research?
Then YOU could be the ideal candidate for us!
We have a state-of-the-art set up in our department for next generation sequencing and a fast growing bio-informatics team. We need someone at a post-doc level to take the lead in this fast evolving field and to help us to further our strategies for innovative research and diagnostic applications.
We are looking for a motivated postdoctoral fellow with interest to develop, implement and apply analytical protocols for data generated on next-generation sequencing platforms. You will become part of our fast growing team that is embedded in highly productive genetics and bioinformatics departments (>15 publications in Nature journals).
We offer a full-time contract for a period of 2 to 5 years.
For information about our group see: www.geneticsgroningen.nl or contact dr. M.A. Swertz ([email protected]) or prof. dr. R.J. Sinke ([email protected])
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Differential Expression and Data Visualization: Recommended Tools for Next-Level Sequencing Analysis
After covering QC and alignment tools in the first segment and variant analysis and genome assembly in the second segment, we’re wrapping up with a discussion about tools for differential gene expression analysis and data visualization. In this article, we include recommendations from the following experts: Dr. Mark Ziemann, Senior Lecturer in Biotechnology and Bioinformatics, Deakin University; Dr. Medhat Mahmoud Postdoctoral Research Fellow at Baylor College of Medicine;...05-23-2023, 12:26 PM -
Continuing from our previous article, we share variant analysis and genome assembly tools recommended by our experts Dr. Medhat Mahmoud, Postdoctoral Research Fellow at Baylor College of Medicine, and Dr. Ming "Tommy" Tang, Director of Computational Biology at Immunitas and author of From Cell Line to Command Line.
Variant detection and analysis tools
Mahmoud classifies variant detection work into two main groups: short variants (<50...05-19-2023, 10:03 AM -
With new tools and computational resources being released regularly, it can be hard to determine which are best suited for the analysis process and which older tools continue to be maintained. In an effort to assist the sequencing community, we interviewed three highly skilled bioinformaticians about their recommended tools for several important analysis applications.
Quality control and preprocessing tools
“Garbage in, garbage out” is a popular...05-16-2023, 10:11 AM