Forums

Bioinformatics is a discipline that combines biology, statistics, and computer science. Data analysis skills are essential for modern biology and are at the core of scientific discovery. In this bioinformatics training program, we will explore bioinformatics concepts in a project setting, offering insights into the typical problems addressed by a bioinformatician and explaining the analysis logic. The program does not require any prerequisites, apart from basic biology concepts.

Precision medicine is changing the way we understand, diagnose and treat cancer. The transformation is driven by high-throughput molecular data from patients, animal models, and large-scale experiments. In this program, we will explore how the various -omics data types can be analyzed to understand the basic biology associated with cancer onset, development, and outcomes and see how large-scale clinical trials and experiments provide an opportunity to improve precision oncology.

Forum of course "Genomics 1"

Bioinformatics is a discipline that combines biology, statistics, and computer science. Data Analytics skills are essential for biologists and are at the core of scientific discovery. In fact, biology is evolving into data science and for those uncomfortable with computational analytics, mathematics, and statistics, getting started can be a significant challenge. We are here to change that. The OmicsLogic programs were designed to quickly introduce complex bioinformatics topics and relevant research projects to help develop understanding while avoiding the complexities of coding. The topics are explored in a project setting that combines insight into the typical problems addressed by a bioinformatician and exposure to the analysis logic, highlighted by our unique online research and learning environment, the T-BioInfo platform

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Forum of course "Metagenomics"

Forum of course "Modeling Precision Medicine"

The rapid growth of high-throughput data, including -omics technologies, gave rise to data-driven discovery in life sciences. As a result, there is a significant demand for data science skills and experience with bioinformatics methods of analysis. Once a peripheral discipline you could easily outsource, bioinformatics is quickly becoming mainstream in life science research. Many high impact journals will only publish if a rigorous bioinformatics analysis is included in the results and methods portions of the publication. Moreover, a common expectation for students and researchers is to be able to continuously mine data produced in their labs and available in the public domain for new insights before any new data is generated.

Learn about the impact of the genomic revolution, next-generation sequencing and computational technologies in every area of life sciences: research, biomedical, biotechnology, and agrobiology. Learn to find, understand and analyze data using high-performance computing and user-friendly tools for biologists.

Forum of course "Patient Derived Xenograft Models"