Bioinformatics
Author
Prof Colin Cooper csc@icr.ac.uk
Institute of Cancer Research
Bioinformatics is carried out through
links with Dr
Colin Campbell at the University
of Bristol. The current focus of our activity has been to develop
packages that can help with the analysis of microaray data. Packages
have been developed so far are to carry out -
- Statistical Outlier Test - this identifies clones whose
position deviates significantly from the normal distribution of
datapoints seen in the array experiment.
- Line straighten programme - when raw microarray data
is presented on a scatter plot a systematic deviation of the distribution
is often observed due to different dynamic responses of the Cy3
and Cy5 dyes (see Figures 1a and 1b). This package corrects this
anomaly.
Figure 1a
Figure 1b
- Analysis of CGH data using cDNA microarrays - we have
developed a method for looking at low copy number gains and losses
by CGH onto cDNA microarrays. A statistical package has been developed
to identify chromosomal regions where the CGH ratios deviate significantly
from normal and hence represents region of genetic gain or loss.
- Non-random distribution of clones in the Human Genome:
we have been investigating the distribution of clones within the
human genome to determine whether non-random clusters of overexpressed
genes can be identified. An analytical package is under development
to determine whether a non-random distribution is present.
For further information on these statistical tests contact:-
Dr. Colin Campbell,
Dept. of Engineering Mathematics,
Bristol University, Bristol BS8 1TR,
United Kingdom
http://lara.enm.bris.ac.uk/cig/
Tel +44 (0) 117 928 9858
C.Campbell@bristol.ac.uk
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