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Procko, Carl; Morrison, Steven; Dunar, Courtney; Mills, Sara; Maldonado, Brianna; Cockrum, Carlee; Peters, Nathan Emmanuel; Huang, Shao-shan Carol; Chory, Joanne – CBE - Life Sciences Education, 2019
Next-generation sequencing (NGS)-based methods are revolutionizing biology. Their prevalence requires biologists to be increasingly knowledgeable about computational methods to manage the enormous scale of data. As such, early introduction to NGS analysis and conceptual connection to wet-lab experiments is crucial for training young scientists.…
Descriptors: Undergraduate Students, Data Analysis, Biology, Information Science
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Makarevitch, Irina; Frechette, Cameo; Wiatros, Natalia – CBE - Life Sciences Education, 2015
Integration of inquiry-based approaches into curriculum is transforming the way science is taught and studied in undergraduate classrooms. Incorporating quantitative reasoning and mathematical skills into authentic biology undergraduate research projects has been shown to benefit students in developing various skills necessary for future…
Descriptors: Student Research, Research Projects, Data Analysis, Research Skills
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Johnson, Dan; Levy, Foster; Karsai, Istvan; Stroud, Kimberly – Journal of College Science Teaching, 2006
Data sharing among multiple lab sections increases statistical power of data analyses and informs student-generated hypotheses. We describe how to collect, organize, and manage data to support replicate and rolling inquiry models, with three illustrative examples of activities from a population-level biology course for science majors. (Contains 1…
Descriptors: Biology, Class Size, Higher Education, Science Laboratories