MCB 6326 Computational Genomics and Epigenomics
- Credits: 3
- Prerequisites: microbiology
- When Offered: Spring
- Syllabus: MCB 6326 Computational Genomics and Epigenomics
Description
Genomics and epigenomics are emerging areas that leverage high-throughput sequencing technologies to enable rapid advances in our understanding of complex biological questions. The primary goal of this course is to introduce students to the history, theory, recent advances, and computational approaches in genomics and epigenomics to prepare them to conduct large-scale genomic analyses in their independent research. Course topics include but are not limited to sequence mapping and alignments, genome assembly, annotation and comparative genomics, variant identification and analysis (e.g., SNP calling and GWAS), transcriptomics (e.g., single-cell RNA-seq), small RNAs and long noncoding RNAs, DNA methylation, histone modification, open chromatin region (e.g., ATAC-seq), 3D chromatin interaction, cancer genomics, proteomics, and phenomics.
Course Goals
After successful completion of this course, students should be able to gain:
- In-depth knowledge, understanding, and mastery of the fundamental concepts and methodology of genomics and epigenomics.
- Familiarity with computational approaches and methods in analyzing different types of high-throughput genomic data.
- Understanding of the advantages and disadvantages of different computational approaches and methods.
- Demonstrated ability to interpret the data generated by the computational approaches and methods.
At A Glance
- 100% online
- Classes offered spring, summer, & fall
- No GRE requirement
- Over 40 courses to choose from
- Tuition $535.00 per credit hour