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BIOL 2600

Introduction to Computational Biology

3 cr · Undergraduate

(Lab required) Biologists working in fields from genomics to ecology to physiology collect, analyze, and interpret their data using quantitative methods. More and more, biological researchers are encountering data (genomic, environmental, phenotypic) in unprecedented volumes that require new data handling approaches. The overall goal of this course is to introduce biology students to the types of biological questions that can be answered by applying computational methods to large-scale, publicly available data sets. The course will include a survey of several major public biological data repositories and will introduce students to the tools that biologists use to access, explore, analyze and visualize these data. This course Is restricted to Faculty of Science students in a Major or Honours program.

Prerequisites & course information

PR/CR: A minimum grade of C is required unless otherwise indicated. Prerequisites: ( BIOL 1030 or BIOL 1031 ) or [( STAT 1150 or ( STAT 1000 and STAT 2000 )) and (one of BIOL 1000 , BIOL 1001 , BIOL 1010 , or BIOL 1011 )]. Attributes: Science

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