Newcastle University

Research Interests

Statistical methods in bioinformatics. Phylogeny and models of molecular evolution.

Esteem Indicators

Associate Editor, Biostatistics

Editorial Board, Statistical Methods in Medical Research

Undergraduate Teaching

MAS3315 Statistical bioinformatics, MAS8401 Numerical skills for bioinformatics, MAS1341 Introduction to probability and statistics

• Gilks WR, Nye TMW, Lio P. A Variance-Components Model for Distance-Matrix Phylogenetic Reconstruction. Statistical Applications in Genetics and Molecular Biology 2011, 10(1), 16.
• Nye TMW. Principal components analysis in the space of phylogenetic trees. Annals of Statistics 2011, 39(5), 2716-2739.
• Nye TMW. Modelling the evolution of multi-gene families. Statistical Methods in Medical Research 2009, 18(5), 487-504.
• Nye TMW. Trees of Trees: An Approach to Comparing Multiple Alternative Phylogenies. Systematic Biology 2008, 57(5), 785-794.
• Nye TMW, Baxter B, Gilks WR. A COVARIANCE MATRIX INVERSION PROBLEM ARISING FROM THE CONSTRUCTION OF PHYLOGENETIC TREES.. London: London Mathematical Society, 2007. Available at: http://www.lms.ac.uk/jcm/10/lms2005-040/sub/lms2005-040.pdf.
• Nye TMW, Liò P, Gilks WR. A novel algorithm and web-based tool for comparing two alternative phylogenetic trees. Bioinformatics 2006, 22(1), 117-119.
• Nye TMW, Berzuini C, Gilks WR, Babu MM, Teichmann S. Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs. Statistical Applications in Genetics and Molecular Biology 2006,5 1 Article 5.
• Nye TMW, Berzuini C, Gilks WR, Babu MM, Teichmann SA. Statistical analysis of domains in interacting protein pairs. Bioinformatics 2005,21 7 993-1001.