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1 - 2 of 2 results for: big data for biologists

BIOS 248: Scientific Computing for Ecologists, Biologists and Environmental Scientists

One-week intensive course is specifically dedicated to graduate students and postdocs in Biology and Environmental Science eager to be introduced to, and get proficient in, scientific computing. Focus is on acquiring the necessary skills to boost their productivity by learning state-of-the-art and cutting-edge techniques to retrieve and process big data. Course introduces Unix/Linux, R, ggplot2 graphic package, regular expressions and version control, dynamic reporting generation through hands-on and interactive learning opportunities both during lectures and in extensive lab sessions based on real world case studies extracted from published papers.
Terms: not given this year, last offered Autumn 2015 | Units: 3 | Grading: Medical Satisfactory/No Credit

HUMBIO 51: Big Data for Biologists - Decoding Genomic Function

Biology and medicine are becoming increasingly data-intensive fields. This course is designed to introduce students interested in human biology and related fields to methods for working with large biological datasets. There will be in-class activities analyzing real data that have revealed insights about the role of the genome and epigenome in health and disease. For example, we will explore data from large-scale gene expression and chromatin state studies. The course will provide an introduction to the relevant topics in biology and to fundamental computational skills such as editing text files, formatting and storing data, visualizing data and writing data analysis scripts. Students will become familiar with both UNIX and Python. This course is designed at the introductory level. Previous university-level courses in biology and programming experience are not required.
Terms: Aut | Units: 3 | UG Reqs: WAY-AQR | Grading: Letter or Credit/No Credit
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