CORE CONCEPTS IN BIOINFORMATICS
2017/2018, Semester 2
Duke-NUS Medical School (Duke-NUS Medical School)
Modular Credits: 4
This one-semester module covers core concepts in bioinformatics with an emphasis on working with omics-scale data. Covered topics: biological sequence analysis include alignments, searching, and annotation; analysis of next-generation DNA and RNA sequencing data in multiple applications, including de-novo sequencing, re-sequencing for germ-line and cancer genetics, RNA-sequencing for multiple applications and ChIP-seq; microarray based SNP, gene-expression, and DNA-methylation analysis; metabolomics; proteomics; gene-set enrichment analysis; pathway analysis; analysis of protein-protein interaction networks; integrated analysis of multiple kinds of ‘omic’ data; availability and use of public data for all of the above The module will also provide a brief introduction to methods of computational modeling for biological networks.
GMS6901, “Molecules to Medicines”, or a strong undergraduate background in biology and molecular biology. An undergraduate module in computer programming, or permission from the module coordinator.
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week