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.
| Title | Publication | Author | Year |
|---|---|---|---|
| A cell-based high-throughput screen identifies inhibitors that overcome P-glycoprotein (Pgp)mediated multidrug resistance | PLoS ONE | 2020 | |
| MAPPS: A Web-Based Tool for Metabolic Pathway Prediction and Network Analysis in the Postgenomic Era | ACS Synthetic Biology | 2020 | |
| Genome-wide RNAi screen in Drosophila reveals Enok as a novel trithorax group regulator | Epigenetics and Chromatin | 2019 | |
| DNA mismatch repair preferentially protects genes from mutation | Genome Research | 2018 | |
| HANDS2: Accurate assignment of homoeallelic base-identity in allopolyploids despite missing data | Scientific Reports | 2016 | |
| Local adaptation is associated with zinc tolerance in Pseudomonas endophytes of the metal-hyperaccumulator plant Noccaea caerulescens | Proceedings of the Royal Society B: Biological Sciences | 2016 | |
| Patterns of homoeologous gene expression shown by RNA sequencing in hexaploid bread wheat | BMC Genomics | 2014 | |
| Microarray-based ultra-high resolution discovery of genomic deletion mutations | BMC Genomics | 2014 | |
| Environmentally responsive genome-wide accumulation of de novo Arabidopsis thaliana mutations and epimutations | Genome Research | 2014 | |
| Microarray-based optimization to detect genomic deletion mutations | Genomics Data | 2014 | |
| HANDS: A tool for genome-wide discovery of subgenome-specific base-identity in polyploids | BMC Genomics | 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 Journal | 2013 | |
| ROS-mediated vascular homeostatic control of root-to-shoot soil Na delivery in Arabidopsis | EMBO Journal | 2012 | |
| Genome-wide analysis of mutations in mutant lineages selected following fast-neutron irradiation mutagenesis of Arabidopsis thaliana | Genome Research | 2012 | |
| Regenerant arabidopsis lineages display a distinct genome-wide spectrum of mutations conferring variant phenotypes | Current Biology | 2011 | |
| Comparative analysis of metabolic networks provides insight into the evolution of plant pathogenic and nonpathogenic lifestyles in Pseudomonas | Molecular Biology and Evolution | 2011 | |
| A Bayesian approach to the evolution of metabolic networks on a phylogeny | PLoS Computational Biology | 2010 | |
| Rahnuma: Hypergraph-based tool for metabolic pathway prediction and network comparison | Bioinformatics | 2009 | |
| A stochastic model for the evolution of metabolic networks with neighbor dependence | Bioinformatics | 2009 |