The LA-INBRE (LBRN) has developed a comprehensive training platform on Bioinformatics and Data Science, offering free access to their coursework, including Bytes and Molecules and Introduction to Bioinformatics. Additionally, they are creating a module to help IDeA programs access NIGMS sandbox course materials.
The LBRN training platform is developed and operated by Division of Biotechnology and Molecular Medicine (BioMMed) at School of Veterinary Medicine (SVM), Louisiana State University- Baton Rouge, LA. The platform provides a comprehensive foundation in bioinformatics, -omics data analysis, machine learning, computational languages for -omics data handling, structural biology, and drug discovery. Designed to build strong foundational knowledge and skills, it prepares students for advanced topics and specialized courses offered by the NIGMS Sandbox. Available freely to LBRN Network PUIs/Community Colleges, our platform enhances accessibility, making complex bioinformatics concepts understandable even for those without a strong background. It directly supports career development by imparting skills applicable to academia and industry, thus enhancing employability in bioinformatics and data science. Additionally, the platform advances research by equipping students with essential tools and knowledge. We foster a supportive community through forums for peer support, mentorship, and networking, encouraging collaboration among students and experts. Our curricula integrate real-world projects and datasets, providing practical experience in bioinformatics research. Committed to accessibility and inclusion, we ensure that students from diverse backgrounds, including underrepresented groups in STEM, can benefit from our platform. Robust assessment mechanisms validate student learning, offering certifications recognized by academic and industrial employers. To bridge the educational gap in essential biomedical sciences and enhance student preparedness for advanced studies, we propose the “Fundamentals of NIGMS Sandbox” course series. This foundational series covers critical topics such as bioinformatics, genomics, transcriptomics, single-cell transcriptomics, computer-aided drug design, metagenomics, epigenomics, statistics, and the use of R and Python for biomedical data analysis, equipping beginners with the skills needed to excel in the biomedical field and prepare for specialized modules offered by the National Institute of General Medical Sciences (NIGMS).
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