The Bioinformatics and Biostatistics Unit is a young and progressive unit based in Wales, UK. Our research interests cover a very wide range of statistical and bioinformatics problems in molecular biology, genetics and medicine. With their strong background in statistics, genetics, mathematics and programming, the members of the unit have considerable expertise in data management and data analysis including the following:
 Multivariate analysis |
| Statistical modelling |
| Multi-stage modelling |
| Clustered data analysis (family studies) |
| Singular spectrum analysis and its applications |
| Linear structural modelling |
| Genetic epidemiology |
| Genetic analysis of complex human disease |
| Detection of genetic epistasis. |
The modern developments in molecular biology and computing technology opens the way to a wealth of challenging problems and directions of research. Our research interests include:
| Analysis of microarray data to fully exploit the information generated by the micro-array technology; conventional statistical approaches in addition to neural networks and machine learning technology |
| Sequence analysis based on non-conventional computational methods such as complexity analysis, grammatical inference and pattern matching |
| Analysis of the nature and mechanisms of reported human mutations such as single base-pair substitutions, micro-deletions, micro-insertions, indels, translocations and gross deletions |
| Identification of mutation susceptible sites in human genome |
| Pharmacogenomics: drug design and targeting based on individual genetic variation |
| Variance component analysis of longitudinal data |
| Development of methods suitable for quantitative trait locus (QTL) mapping, particularly for multivariate phenotypes in extended families |
| The distribution of sib-pair linkage statistics when applied to families with three or more affected siblings |
| Efficient designs for performing genome-wide linkage scans. |
| The use of DNA pooling to perform association studies. |
| Methods for allowing for undetected genotyping errors in genetic association studies |
| Covariate linkage analysis |
| Haplotype analysis: identification of clusters of markers and tag markers |
| Cladistic analysis of haplotype structure |
