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BIOF 019 | Designing Effective Data Visualizations in R (An Evening Workshop)


This workshop will explore both the design side and the coding side of creating visualizations in R. The first session will introduce best practices for designing effective visualizations, and learners will put these into practice in the next two sessions to create static and interactive visualizations. Learners will be introduced to Shiny, an R package [....]

Gene Editing with CRISPR Training Workshop

Montgomery College Bioscience Education Center 20200 Observation Drive, Room 151/152, Germantown, MD

This rigorous three day program is ideal for basic research and translational biology scientists who are looking for a balanced theoretical vs. hands-on introduction to CRISPR toolkit. Taught by active researchers, this workshop features several cutting-edge presentations delivered by experts in the CRISPR/Cas9 field along with an intensive schedule of laboratory exercises. This program will [....]


Flow Cytometry: Principles, Methods and Applications

Montgomery College Bioscience Education Center 20200 Observation Drive, Room 151/152, Germantown, MD

This four day program is ideal for those who are looking for an in-depth, hands-on introduction to Flow Cytometry. Team taught by active researchers (50+ yrs of combined FACs experience), our instructors will focus on a broad spectrum of flow cytometric topics, discuss examples from various research applications, provide technical protocols for flow cytometric sample [....]


BIOL 039 – Epigenetics


This course will address the basic principles of epigenetics, the role of epigenetic mechanisms in normal development and human disease, and the development of epigenetically-effective drugs. The objective of the program is to provide a solid foundation of information enabling participants to design experiments when returning to their own research lab. Furthermore, to provide a [....]

BIOF 093 | Machine Learning with MATLAB


This two-day workshop focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™. The workshop demonstrates the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models. Examples and exercises highlight techniques for visualization and [....]

BIOF 098 | Introduction to Statistical Analysis in R


Statistical analyses are regularly required for nearly every quantitative scientific study. Although simple data analysis tools are tenable for small-scale analyses, more rigorous software can enhance analysis replicability, improve data management, and facilitate more advanced analysis techniques in addition to scaling up to larger datasets. One such program, R is a free, open-source software that [....]