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Thu 19 Dec - Fri 20 Dec 2013
09:30 - 17:30

Venue: Department of Genetics, Room G12

Provided by: Graduate School of Life Sciences


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Bioinformatics: Multiple Sequence Alignment and Phylogenetics
BeginnersPrerequisitesNew

Thu 19 Dec - Fri 20 Dec 2013

Description

This course provides an introduction to the construction of high quality Multiple Sequence Alignments (MSAs) and the computation of phylogenetic trees from those alignments. Further information is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Target audience
Prerequisites
  • Basic computing skills
  • Graduate level in Life Sciences
Sessions

Number of sessions: 2

# Date Time Venue Trainers
1 Thu 19 Dec 2013   09:30 - 17:30 09:30 - 17:30 Department of Genetics, Room G12 map Aidan Budd,  Teresa Attwood
2 Fri 20 Dec 2013   09:30 - 17:30 09:30 - 17:30 Department of Genetics, Room G12 map Aidan Budd,  Teresa Attwood
Objectives

Course objectives are primarily to enable participants to better:

  • Understand the range of contexts in which alignments are used & are useful;
  • Understand the importance of sequence similarities & differences, & what they tell us;
  • Understand the meaning of alignments;
  • Understand the use of metaphor & its role in interpreting alignments.
Aims

The overall course aim is to provide an introduction to the computation of quality Multiple Sequence Alignments (MSAs), primarily for phylogenetic analysis.

More specifically, we aim to discuss:

  • What alignments are useful for - why we align sequences;
  • What’s in a sequence; what’s in an alignment;
  • What alignments mean - introducing metaphor;
  • Visualising alignments.
  • Alternative interpretations (evolutionary and structural) of sequence alignments
  • Building automatic and manual multiple sequence alignments (MSAs) with JalView
  • MSAs and short protein linear motifs
Format

Presentations, demonstrations and practicals

Duration

2

Frequency

A number of times per year

Related courses

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