Faculty Profile

Dr. Aziz Mithani

Associate Professor

Department Of Biology

Dr Aziz Mithani started as a computer scientist and received his Masters in Computer Sciences from FAST-NU, Karachi before going to University of Cambridge, UK where he did MPhil in Computational Biology. In summer 2006, he went to Harvard Medical School for a research internship in Paulsson Lab at Department of Systems Biology. Dr Mithani received his DPhil in Statistics (Computational Biology) from University of Oxford, UK in November 2009 under the supervision of Prof Jotun Hein and Dr Gail Preston. His dissertation focused on modelling the evolution and analysis of the properties of metabolic networks. Subsequently, Dr Mithani joined Harberd Lab at the Department of Plant Sciences, University of Oxford, UK as a postdoctoral research associate where he worked for two years on the evolution of bread wheat. 

His research interests include the application of computational and mathematical methods in the area of modern biology. Specifically, he is interested in the development of computational tools and techniques for the analysis of next-generation sequencing data and biological networks, and to investigate how different organisms function and evolve over time.

TitlePublicationAuthorYear
DNA mismatch repair preferentially protects genes from mutationGenome ResearchBelfield E.J., Ding Z.J., Jamieson F.J.C., Visscher A.M., Zheng S.J., Mithani A., Harberd N.P.2018
HANDS2: Accurate assignment of homoeallelic base-identity in allopolyploids despite missing dataScientific ReportsKhan A., Belfield E.J., Harberd N.P., Mithani A.2016
Local adaptation is associated with zinc tolerance in Pseudomonas endophytes of the metal-hyperaccumulator plant Noccaea caerulescensProceedings of the Royal Society B: Biological SciencesFones H.N., McCurrach H., Mithani A., Smith J.A.C., Preston G.M.2016
Patterns of homoeologous gene expression shown by RNA sequencing in hexaploid bread wheatBMC GenomicsLeach L.J., Belfield E.J., Jiang C., Brown C., Mithani A., Harberd N.P.2014
Microarray-based ultra-high resolution discovery of genomic deletion mutationsBMC GenomicsBelfield E.J., Brown C., Gan X., Jiang C., Baban D., Mithani A., Mott R., Ragoussis J., Harberd N.P.2014
Environmentally responsive genome-wide accumulation of de novo Arabidopsis thaliana mutations and epimutationsGenome ResearchJiang C., Mithani A., Belfield E.J., Mott R., Hurst L.D., Harberd N.P.2014
Microarray-based optimization to detect genomic deletion mutationsGenomics DataBelfield E.J., Brown C., Gan X., Jiang C., Baban D., Mithani A., Mott R., Ragoussis J., Harberd N.P.2014
HANDS: A tool for genome-wide discovery of subgenome-specific base-identity in polyploidsBMC GenomicsMithani A., Belfield E.J., Brown C., Jiang C., Leach L.J., Harberd N.P.2013
Erratum: ROS-mediated vascular homeostatic control of root-to-shoot soil Na delivery in Arabidopsis (EMBO Journal (2012) 31 (4359-4370) DOI: 10.1038/emboj.2012.273)EMBO JournalJiang C., Belfield E.J., Mithani A., Visscher A., Ragoussis J., Mott R., Andrew Smith J., Harberd N.P.2013
ROS-mediated vascular homeostatic control of root-to-shoot soil Na delivery in ArabidopsisEMBO JournalJiang C., Belfield E.J., Mithani A., Visscher A., Ragoussis J., Mott R., Smith J.A.C., Harberd N.P.2012
Genome-wide analysis of mutations in mutant lineages selected following fast-neutron irradiation mutagenesis of Arabidopsis thalianaGenome ResearchBelfield E.J., Gan X., Mithani A., Brown C., Jiang C., Franklin K., Alvey E., Wibowo A., Jung M., Bailey K., Kalwani S., Ragoussis J., Mott R., Harberd N.P.2012
Regenerant arabidopsis lineages display a distinct genome-wide spectrum of mutations conferring variant phenotypesCurrent BiologyJiang C., Mithani A., Gan X., Belfield E.J., Klingler J.P., Zhu J.-K., Ragoussis J., Mott R., Harberd N.P.2011
Comparative analysis of metabolic networks provides insight into the evolution of plant pathogenic and nonpathogenic lifestyles in PseudomonasMolecular Biology and EvolutionMithani A., Hein J., Preston G.M.2011
A Bayesian approach to the evolution of metabolic networks on a phylogenyPLoS Computational BiologyMithani A., Preston G.M., Hein J.2010
Rahnuma: Hypergraph-based tool for metabolic pathway prediction and network comparisonBioinformaticsMithani A., Preston G.M., Hein J.2009
A stochastic model for the evolution of metabolic networks with neighbor dependenceBioinformaticsMithani A., Preston G.M., Hein J.2009