DEPARTMENT OF ENGINEERING MATHEMATICS

EMATM0004

COMPUTATIONAL GENOMICS & BIOINFORMATICS ALGORITHMS

(10 credits)

Timetable

Organiser:	Prof. Nello Cristianini
Lecturers:	Prof. Nello Cristianini
Description:	The unit will focus on case studies of analysis of single genomes. It covers: gene finding; genome evolution; gene expression analysis; sequence alignment; hidden Markov models; phylogenics
Pre-requisites:	An understanding of basic probability theory, and elementary programming skills are essential. Prior knowledge of Matlab is helpful but not essential
Aims:	To introduce students to practical tasks of genome analysis, based on real case studies
Learning outcomes:	Successful completion of this unit will enable students to: understand statistical and algorithmic approaches to sequence and gene expression analyis understand why and how mathematics can play a role in modern biology read and understand recent articles on genomic topics, in particular assess the data-analysis aspects be familiar with the standard tools and problems, and current and future goals of the field access and manipulate real genomic data
Organisation & timetable:	Check Timetabling
Assessments:	The course will be assessed by a combination of standardized coursework and individual final projects. By week 6 each student will choose a topic (out of a list provided by the teacher) and will investigate a specific topic, producing a final report by the end of the course The list will be formed based on recent papers in computational genomics. Each project will have a data analysis component. 100% assessed by coursework (50% final project, 50% the 3 labworks (15% + 15% + 20%))
Syllabus:
Materials:	Lecture material will be on Blackboard
Books:	Introduction to Computational Genomics: A Case Studies Approach Nello Cristianini and Matthew W. Hahn Cambridge University Press, 2006 Hardback and Paperback (ISBN-13: 9780521856034 \| ISBN-10: 0521856035)
Past exams:	No exam

Pages maintained by Pippa Hogg