Projects per year
Personal profile
Biography
Jonathan works in the School of Mathematical Sciences at Monash University as a Senior Lecturer
Jonathan is a researcher in Bayesian methods, bioinformatics and genetic epidemiology. His current main research interest is in statistical methods for the detection of novel non-protein-coding functional elements in genomes. He also has current and recent projects in phylogenetics, whole genome association studies and identification of quantitative trait loci.
He is currently a chief investigator on two ARC Discovery grants: Statistical methods for detection of non-coding RNAs in Eukaryote Genomes and Statistical methods for discovering RNAs contributing to human diseases and phenotypes.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Bayesian methods
- Bioinformatics
- Genetic epidemiology
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Optimising progress towards elimination of malaria
Flegg, J., Keith, J., Smith - Miles, K. & Richards, J.
28/04/20 → 28/04/24
Project: Research
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RIFA 2065 For the provision of National Red Imported Fire Ant Eradication Program Steering Committee (NRIFAEP) spread analysis (modelling)
Spring, D., Keith, J. & Thao, L.
Department of Agriculture and Fisheries (Queensland)
18/05/20 → 26/06/20
Project: Research
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API: Developing models to capture tail events in energy markets - INT-0630
Pourkhanali Koudehi, A. & Keith, J.
29/07/19 → 29/11/19
Project: Research
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FAM: Additional Fire Ant Modelling including changes in public engagement
1/10/16 → 31/12/16
Project: Research
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Detection and identification of cis-regulatory elements using change-point and classification algorithms
Maderazo, D., Flegg, J. A., Algama, M., Ramialison, M. & Keith, J., Dec 2022, In: BMC Genomics. 23, 1, 16 p., 78.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Optimal designs for some bivariate cokriging models
Dasgupta, S., Mukhopadhyay, S. & Keith, J., Dec 2022, In: Journal of Statistical Planning and Inference. 221, p. 9-28 20 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
A Comparison of Bayesian Inference Strategies for Parameterisation of Large Amplitude AC Voltammetry Derived from Total Current and Fourier Transformed Versions
Gundry, L., Kennedy, G., Keith, J., Robinson, M., Gavaghan, D., Bond, A. M. & Zhang, J., 14 Jun 2021, In: ChemElectroChem. 8, 12, p. 2238-2258 21 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
Identification of community structure-based brain states and transitions using functional MRI
Bian, L., Cui, T., Thomas Yeo, B. T., Fornito, A., Razi, A. & Keith, J., 1 Dec 2021, In: NeuroImage. 244, 18 p., 118635.Research output: Contribution to journal › Article › Research › peer-review
Open Access2 Citations (Scopus) -
Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry
Gundry, L., Guo, S. X., Kennedy, G., Keith, J., Robinson, M., Gavaghan, D., Bond, A. M. & Zhang, J., 21 Feb 2021, In: Chemical Communications. 57, 15, p. 1855-1870 16 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile24 Citations (Scopus)