OmicsLogic — TBioInfo BioInformatics Platform

In the Bioinformatics “OmicsLogic” program, participants will experience hands-on, project-based learning that combines scientific inquiry, critical thinking and problem solving while participating in research-oriented analysis of large-scale biomedical data.

To achieve these goals, we designed a comprehensive bioinformatics environment that combines interactive online learning tools with a research-grade analysis platform and curated datasets from impactful scientific publications. Our online learning environment provides in-depth evaluation with real-time feedback and allows us to conduct meaningful hands-on workshops online and on-site. The learning experience engages both students and faculty, facilitating real inquiry and problem solving.

These objectives follow the New Generation Science Standards that identify learning as a combination of knowledge and practice, focusing on “integration of rigorous content with the practices that scientists use in their work” and highlight the importance of the development of integrated environments that enable students to learn science by participating in research.

The curated projects are designed to building a strong background in translational research that utilizes multi-omics datasets and developing an understanding of the significance of such methodologies in biomedical applications.

The program provides opportunities to develop critical thinking as an approach to digesting scientific literature by hands-on experience of methods and practices that scientists use in their work, including application of statistics to detect patterns in big data and utilize biomedical knowledge to interpret such findings.

OmicsLogic is about increasing career readiness in biomedical/biotech industries by giving increased attention to the practices that scientists routinely use. Learning about the application of mathematical techniques and familiarity with biological concepts to develop a logical approach for utilization of big biomedical data resources. The program also has a clear objective — to help more young scientists apply advanced methods in multi-omics data analysis and integration methods relevant to critical fields of innovation: oncology, neuroscience, agrotech, virology and other important disciplines.

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