Bioconductor for Genomic Data Science

Week One introduces you to the fundamental concepts of Bioconductor and R installation. You'll explore R base types, GRanges, IRanges, GenomicRanges, and AnnotationHub. By the end of this module, you'll have a solid foundation for working with Bioconductor tools.

Week Two delves into more advanced topics, including Biostrings, BSgenome, GenomicRanges, and rtracklayer. Through practical examples and insights, you'll gain a deeper understanding of these essential Bioconductor packages and their applications in genomic data science.

Week Three focuses on basic data types, genomic features, and data import methods through Annotation Overview, ExpressionSet, GEOquery, and biomaRt. You'll also explore R S4 classes and methods, gaining a comprehensive understanding of these concepts.

Week Four covers the crucial aspect of getting data into Bioconductor, including Short Read, Rsamtools, oligo, limma, and minfi. Additionally, you'll delve into count-based RNA-seq analysis, rounding off the course with post-course surveys and quizzes.