Biol20N02 2016

From QiuLab
Revision as of 16:28, 6 December 2015 by imported>Weigang (→‎Course Outline)
Jump to navigation Jump to search
Analysis of Biological Data (BIOL 20N02, Spring 2015)
Instructor: Dr Weigang Qiu, Associate Professor, Department of Biological Sciences
Room: 1001B HN (North Building, 10th Floor, Mac Computer Lab)
Hours: Tuesdays 10-1
Office Hours: Belfer Research Building (Google Map) BB-402; Wed 5-7 pm or by appointment
Course Website: http://diverge.hunter.cuny.edu/labwiki/Biol20N2_2016

Course Description

With rapid accumulation of genome sequences and digitalized health data, biomedicine is becoming a data-intensive science. This course is a hands-on, computer-based workshop on how to visualize and analyze large quantities of biological data. The course introduces R, a modern statistical computing language and platform. Students will learn to use R to make scatter plots, bar plots, box plots, and other commonly used data-visualization techniques. The course will review statistical methods including hypothesis testing, analysis of frequencies, and correlation analysis. Student will apply these methods to the analysis of genomic and health data such as whole-genome gene expressions and SNP (single-nucleotide polymorphism) frequencies.

This 3-credit experimental course fulfills elective requirements for Biology Major I. Hunter pre-requisites are BIOL100, BIOL102 and STAT113.

Textbooks

Course Outline

Week 1. Introduction & tutorials for R/R studio

Week 2. Statistics & samples

Week 3. Displaying data

Week 4. Describing data; Exam 1.

Week 5. Probability and hypothesis testing

Week 6. Analysis of proportions

Week 7. Analysis of frequencies

Week 8. Contingency tests; Exam 2

Week 9. Normal distribution and controls

Week 10. Comparing two means

Week 11. Designing experiments

Week 12. Comparing more than two groups; Exam 3

Week 13. Correlation analysis

Week 14. Regression analysis

Week 15. Review and Exam 4 (final comprehensive exam)