Unveiling the Strengths of the CFDE: A Resource for All Researchers

著者： CFDE Training Center with Host Dr. Allissa Dillman
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  • Decoding the Data Ecosystem is a podcast series dedicated to unraveling the complexities and exploring the depths of omics research. With a special focus on the ever-evolving landscape of genomics, transcriptomics, proteomics, metabolomics, and beyond, this series aims to educate, inspire, and empower researchers, educators, and enthusiasts by highlighting the transformative potential of available data in the Common Fund Data Ecosystem (CFDE). Each episode dives into the heart of omics research training and education, featuring insights from leading scientists, educators, and innovators who are shaping the future of biological research. Decoding the Data Ecosystem shines a spotlight on the CFDE as an invaluable resource, demonstrating how researchers can leverage this wealth of data to fuel their investigations, foster discoveries, and advance the frontiers of knowledge. Allissa Dillman, PhD, Training and Engagement Director for the CFDE Training Center, is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields. She works with clients in industry, academia, government, and the nonprofit sector to create and support training programs on bioinformatics, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities. She also creates community events, such as hackathons, where diverse communities work towards solving real biomedical data challenges. Dr. Dillman is a member of the adjunct faculty at Montgomery College and has over 10 years of experience working for the National Institutes of Health (NIH). Her work focuses on lowering the barriers of entry for data science and cloud computing. She received her PhD in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden. Why Listen? Decoding the Data Ecosystem: A CFDE Training Center Podcast is more than just a podcast; it's a community for anyone passionate about the potential of omics research to solve complex biological puzzles and address pressing health challenges. Whether you're a seasoned researcher, a student just starting out, or simply curious about the future of biology, this podcast offers valuable insights, inspiring stories, and practical advice to guide your journey through the world of omics research training and education.
    Copyright 2024 Unveiling the Strengths of the CFDE: A Resource for All Researchers
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Decoding the Data Ecosystem is a podcast series dedicated to unraveling the complexities and exploring the depths of omics research. With a special focus on the ever-evolving landscape of genomics, transcriptomics, proteomics, metabolomics, and beyond, this series aims to educate, inspire, and empower researchers, educators, and enthusiasts by highlighting the transformative potential of available data in the Common Fund Data Ecosystem (CFDE). Each episode dives into the heart of omics research training and education, featuring insights from leading scientists, educators, and innovators who are shaping the future of biological research. Decoding the Data Ecosystem shines a spotlight on the CFDE as an invaluable resource, demonstrating how researchers can leverage this wealth of data to fuel their investigations, foster discoveries, and advance the frontiers of knowledge. Allissa Dillman, PhD, Training and Engagement Director for the CFDE Training Center, is the founder and CEO of BioData Sage LLC, a company focused on providing a holistic approach to data science integration in the biomedical and biological science fields. She works with clients in industry, academia, government, and the nonprofit sector to create and support training programs on bioinformatics, cloud computing, and the tools and standards for reproducible data science practices for scientific and lay communities. She also creates community events, such as hackathons, where diverse communities work towards solving real biomedical data challenges. Dr. Dillman is a member of the adjunct faculty at Montgomery College and has over 10 years of experience working for the National Institutes of Health (NIH). Her work focuses on lowering the barriers of entry for data science and cloud computing. She received her PhD in computational neuroscience as part of the graduate partnership program between NIH and the Karolinska Institute, Sweden. Why Listen? Decoding the Data Ecosystem: A CFDE Training Center Podcast is more than just a podcast; it's a community for anyone passionate about the potential of omics research to solve complex biological puzzles and address pressing health challenges. Whether you're a seasoned researcher, a student just starting out, or simply curious about the future of biology, this podcast offers valuable insights, inspiring stories, and practical advice to guide your journey through the world of omics research training and education.
Copyright 2024 Unveiling the Strengths of the CFDE: A Resource for All Researchers
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  • Unveiling the Strengths of the CFDE: A Resource for All Researchers

    Unveiling the Strengths of the CFDE: A Resource for All Researchers
    2024/12/12

    In the inaugural episode of the Decoding the Data Ecosystem: A CFDE Training Center Podcast, join Dr. Allissa Dillman as she engages in an enlightening conversation with Noël Burtt, the Principal Investigator for the CFDE Knowledge Center at the Broad Institute. With a background in molecular biology and human genetics, Noël brings a wealth of knowledge and insight into the diverse applications of the CFDE. Together, they will explore the multifaceted strengths of the CFDE and discuss how researchers across various fields can effectively utilize the resources available to advance their work. This episode is a must-listen for anyone interested in harnessing the power of the CFDE to fuel their research endeavors, regardless of their focus area.
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    42 分

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