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Contributors: Dr. Nils Gehlenborg  or Ajay Pillai 


MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools

This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa.

Scientific topics: Computational biology, Mathematics

Keywords: ComputationalBiology, Neuroscience, complex systems, Mathematics

Resource type: Notes, Scripts

MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools http://tess.elixir-uk.org/materials/mathematics-boot-camp-introduction-to-complex-systems-tools This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa. Felix Almonte Collins Assisi Frederick Carver Gautam Vallabha Jaime Morris Ajay Pillai Armin Fuchs Computational biology Mathematics ComputationalBiology, Neuroscience, complex systems, Mathematics Undergraduate 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