BIN3800 · Bioinformatics

Overview

Bioinformatics aims to cover the computational analyses of genomics and other similar biologically relevant big datasets. The unit explores the application of on-line tools and computational methods to harness data in biomedical and biological sciences, particularly in genomics and proteomics.

Areas of study: Genomics and bioinformatics

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Describe recent advances in genomics;
2. Navigate genomic and proteomic databases in a variety of species;
3. Use Linux, Python and R to query big data (DNA, RNA or amino acid sequences);
4. Identify conserved features in nucleotide sequences and define functional domains;
5. Identify sequences and data on mutations associated with human diseases;
6. Interpret structural and functional effects of mutations and predict molecular mechanisms underlying the resulting disease;
7. Construct and analyse sequence alignments, molecular phylogeny and molecular models using nucleotide or amino acid sequences.

Workload

• Two hours lectures • Four hours practical session and • Six hours of independent study per week

Student experience, not official rules. Nothing here changes what the Handbook says.