EMBL Courses and Conferences during the Coronavirus pandemic
With the onsite programme paused, many of our events are now being offered in virtual formats.
Registration is open as usual for many events, with back-up plans in place to move further courses and conferences online as necessary. Registration fees for any events affected by the COVID-19 disruption are fully refundable.
More information for participants of events at EMBL Heidelberg can be found here.
Registration is not yet open for this event. If you are interested in receiving more information please register your interest.
Systems biology is a still expanding field of research aiming to understand at the molecular level how cells, tissues and organism operate in their biological context. Among the key technologies driving this forward are next-generation sequencing and proteomics, as they provide powerful means to determine global expression levels of genes and proteins. Both fields have matured to a degree that they have now become accessible to researchers in many areas of biology. During this course participants will gain theoretical insight in the structure of sequencing and proteomic data, and will receive training in data analysis using various computational tools.
This course is targeted at biologists and biochemists who are (starting to be) involved in both next-generation sequencing and mass spectrometry-based proteomics, but who are not experts in these fields.
- Principles of mRNA quantification
- Principles of protein identification and quantification
- Principles and application of bioinformatic tools for mining of transcriptome and proteome data
- Data integration by Cytoscape
The aim of this practical course is to provide insight in techniques that are frequently used for transcriptome and proteome analysis, and to provide hands-on experience turning primary data into information that can be used for further biological interpretation. To achieve these goals, participants will gain insight in the basic principles of gene expression analysis (RNAseq data quantification and differential expression analysis), protein identification and quantification, and they will be trained in the use of software tools to analyse sequencing and proteomic data (SearchGUI, PeptideShaker, MaxQuant). In addition, the course will provide insight in the complementarity of transcriptome and proteome data by their integrative analysis via Cytoscape.
What past participants say about the course:
"This course was very beneficial to me. It was well-organized. The most commonly used types of software for analysis and integration of transcriptome and proteome data were introduced and protocols provided, which is essential for beginners in these areas. It also expanded my knowledge about how to explore a scientific question from the view of multi-omics. Furthermore, it was also a great opportunity to network with potential collaborators." - Pin Chen, The University of Hong Kong