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3 materials found

Contributors: Janick Mathys  or Dr. Nils Gehlenborg 


Introduction to Protein Structure Analysis

This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....

Operations: Visualisation

Keywords: Protein structure visualisation

Resource type: e-learning

Introduction to Protein Structure Analysis http://tess.elixir-uk.org/materials/introduction-to-protein-structure-analysis This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure. Different hands-on exercises will allow you to compare the structure of homologues, to predict a structural model of proteins (without any structure information) and to find homologous structures. We will use online tools to quantify various interactions in the structures. ## Objectives * Get to know the data generated from protein structure determination experiments (high-resolution NMR spectroscopy, X-ray crystallography, electron microscopy, ...) and where to get it. * Display protein structure data and compare structures, through the use of Yasara. * Create high-quality graphical representations of the structures. * Calculate the effect of mutations on the stability of your protein. Janick Mathys Protein structure visualisation Life Science Researchers
Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling

Bioinformatics Summer School 2019 http://tess.elixir-uk.org/materials/bioinformatics-summer-school-2019 This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills. Martin Morgan Laurent Gatto Janick Mathys Lieven Clement Charlotte Soneson Koen Van den Berge Oliver Crook Statistics and probability Omics RNA-Seq Proteomics PhD students
Visualization Approaches for Biomedical Omics Data: Putting It All Together

Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that...

Keywords: Genome, Molecular

Resource type: Video

Visualization Approaches for Biomedical Omics Data: Putting It All Together http://tess.elixir-uk.org/materials/visualization-approaches-for-biomedical-omics-data-putting-it-all-together Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that generate heterogeneous datasets for cohorts of thousands of individuals. A common feature of these studies is that a collection of genome-wide, molecular data types and phenotypic or clinical characterizations are available for each individual. These data can be used to identify the molecular basis of diseases and to characterize and describe the variations that are relevant for improved diagnosis, prognosis and targeted treatment of patients. An example for a study in which this approach has been successfully applied is The Cancer Genome Atlas project (http://cancergenome.nih.gov).In this talk Dr Gehlenborg discusses how visualization approaches can be applied to enable exploration and support analysis of data generated by such studies. Specifically, he reviews techniques and tools for visual exploration of individual omics data types, their ability to scale to large numbers of individuals or samples, and emerging techniques that integrate multiple omics data types for interactive visual analysis. He also examines technical and legal challenges that developers of such visualization tools are facing. To conclude the talk, he outlines research opportunities for the biological data visualization community that address major challenges in this domain. Created at: 1st BiVi Annual Meeting. Dr. Nils Gehlenborg Genome, Molecular 2017-02-02