Reference no: EM133044584

BHS008-6 Computational Biology - University of Bedfordshire

Assessment - Practical Portfolio

Learning outcome 1: Demonstrate a depth of knowledge in the application of computational techniques to the modelling of structural and functional aspects of biological systems. Such an understanding will cover both Molecular and Systems levels of modelling.

Learning outcome 2: Show a critical awareness of the limitations of the techniques such as sequence alignment, homology modelling and systems modelling and apply these methods to model systems.

You will carry out two practicals

1. In the first you will carry out a model sequence alignment, which demonstrates the application of the dynamic programming technique. You will then use the NCBI server to align two related sequences. Finally, you will map the sequence alignment data onto the three-dimensional structure of one of the proteins.

2. In the second session you will use a number of different sequence analysis techniques (worshopped in the practical session) to produce a phylogenetic tree for selection of HIV genes. Conclusions about the relationship s between the systems will be drawn from these trees

Following the practical sessions you will be expected to produce a laboratory report detailing your findings across both sessions. The report should be no more than 2000 words. Excessive word counts will negatively affect grading. The lab report should be structured like a research article in a scientific journal (see details below).

Demonstrate the ability to carry out modelling tasks including sequence alignment and the use of molecular graphics

Produce a written report in the form of a scientific paper that discusses the content of the practical sessions.

Attachment:- Computational Biology.rar