BF0611 - Applied Bioinformatics

SYNOPSIS OF MODULE

Bioinformatics has been instrumental in the success of the human genome project, and other genome projects. The vast amount of sequence data produced requires a number of computer-based tools to manage and analyse information in the various databases. These can be interrogated to compare unknown to known sequences, mutated sequences to normal sequences and to attempt predictions of protein structure and function in novel coding sequences. This unit will be of interest to students wishing to gain advanced understanding of these bioinformatics procedures. The emphasis will be the use of these tools in biotechnology, biomedical sciences, biology, genetics and chemistry. There will be ample opportunity for students to gain practical experience in the use of these tools using guided exercises, directed learning and independent learning.
Theoretical aspects of the syllabus will be assessed by examination or equivalent, practical aspects will be assessed formatively.

INDICATIVE READING LIST OR OTHER LEARNING RESOURCES

Krane & Raymer Fundamental Concepts of Bioinformatics (latest edition)
Bishop MJ and Rawlings CJ (Editors) DNA and Protein Sequence Analysis - A Practical Approach. (Latest edition) Oxford University Press
Brown TA Genomes. (Latest edition) BIOS Scientific Publishers Ltd.
Pennington SR & Dunn M (Editors) (Latest edition) Proteomics. BIOS Scientific Publishers
Sandor Suhai (Latest edition) Genomics and Proteomics. Plenum Publishers
http://www.ebi.ac.uk (2001)
http://www.hgmp.mrc.ac.uk (2011)
http://www.ncbi.nlm.nih.gov (2011)

Note: this subject is evolving rapidly, so reading lists and learning resources will be reviewed regularly and modified as appropriate.

OUTLINE SYLLABUS

Applied genomic analyses
Structural analysis of DNA sequences, phylogenetic analyses of bacteria lgenes
Bioinformatics in disease

Proteomics
Amino acids - sidechain function in protein structure, methods for protein structure analysis, common motifs, protein molecular modelling, structure/function prediction from sequence data,
recombinant proteins, site-directed mutagenesis

AIMS OF MODULE

To provide students with an introduction to sequence-structure prediction tools, transcriptomics and proteomics

To give students advanced understanding of the principles, applications and limitations of bioinformatics tools applied to the understanding of disease

To provide students with the opportunity to acquire practical bioinformatics skills at an advanced level

LEARNING OUTCOMES

The student will be able to:

1. Discuss the significance of sequencing stratagems as applied to the genomics projects in biology. Assessed by examination.
Demonstrate an understanding of transcriptomics and proteomics appropriate to the biological sciences or chemistry. Assessed by examination.

3. Demonstrate practical competence in the use of bioinformatics to predict structure and function from
sequence data. Assessed formatively.

4. Critically appraise the principles, practice and limitations of computer-based molecular modelling.
Assessed by examination.

5. Evaluate the principles, applications and limitations of bioinformatics tools applied to the
understanding ofbiological systems. Assessed by examination.

PREREQUISITES

Bioinformatics and Molecular Biotechnology (CH0471)
Or students should have a sound knowledge of biology, molecular genetics and IT at level 5 or equivalent, with an understanding of basic chemistry and mathematics at level 4 or equivalent.

COREQUISITE(S)

None

DISTANCE LEARNING DELIVERY

None

LEARNING AND TEACHING STRATEGY

The unit will be taught using lectures and IT based workshops supported by self-paced; directed and independent study. Lectures and workshops will illustrate principles and practice that will allow students to achieve the learning outcomes through problem-solving practical IT sessions and self-guided directed/independent learning.

ASSESSMENT AND FEEDBACK STRATEGY

a Summative assessment and rationale for tasks

Seen Examination (duration 2h)

Rationale: Seen examination will enable assessment of students understanding of the theoretical aspects of the module and engagement with appropriate literature provided either through directed learning or independent study. Underlying theory of the practical aspects of the module will also be examined and supported by IT based workshops and formative assessment.

b. Additional formative assessment – detail of process and rationale

Phylogenetic tree generation and analyses. Rationale is to provide practical skills in bioinformatics and to prepare students for summative assessment where these skills will be examined.

c. Indication of how students will get feedback and how this will support their learning

Summative: Written feedback will be provided on manuscripts.
Formative- Feedback will be in class workshop based approach to delivery; and through written feedback on trees generated..

IMPLICATIONS FOR CHOICE

N/A

Course info

Credits 10

Level of Study Undergraduate

Mode of Study 36 months

Location Singapore

City Singapore

Start November or April

Fee Information

Module Information

All information on this course page is accurate at the time of viewing.

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