Teaching‎ > ‎

Genomic Data Analysis Using R/Bioconductor (BST550)

Syllabus
Instructor: Matthew N. McCall, Ph.D. 
Room: see schedule
Time: MW 1:45-3:15
Office Hours: M 4-5, SRB 4.143

Lecture Slides: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23]
Homework Sets: [1] [2] [3] [4]
Readings: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]
Projects: [guidelines]
Presentations: Yu, Valeriia, Bokai [12/14]; Yun, Chongshu [12/16]

Software Links:
Git Code School: https://try.github.io



R Package Development: http://r-pkgs.had.co.nz


Data Links:
Gene Expression Omnibus (GEO): http://www.ncbi.nlm.nih.gov/geo
The Sequence Read Archive: http://www.ncbi.nlm.nih.gov/sra
The Cancer Genome Atlas (TCGA): https://tcga-data.nci.nih.gov/tcga [realigned data]
Genotype Tissue Expression (GTEx): http://www.gtexportal.org
Roadmap Epigenomics: http://www.roadmapepigenomics.org
MiRQC: [paper] [data]