Gruppen min bruker verktøy fra matematikk, statistikk, og informatikk til å forstå spørsmål i biologi og medisin. Man kan leser mer om arbeidet vårt hos nettsiden https://stochasticbiology.w.uib.no/ !

STAT200, STAT202

Vitenskapelig artikkel

• Eszter Dombi; Tony Marinaki; Paolo Spingardi et al. (2024). Nucleoside supplements as treatments for mitochondrial DNA depletion syndrome. (ekstern lenke)
• Kazeem Adesina Dauda; Olav Nicolay Larsson Aga; Iain George Johnston (2025). Clustering Large-Scale Biomedical Data to Model Dynamic Accumulation Processes in Disease Progression and Anti-Microbial Resistance Evolution. (ekstern lenke)
• Kathrin Garschall; Eudald Pascual Carreras; Belen Garcia Pascual et al. (2024). The cellular basis of feeding-dependent body size plasticity in sea anemones. (ekstern lenke)
• Iain George Johnston (2022). Optimal strategies in the Fighting Fantasy gaming system: influencing stochastic dynamics by gambling with limited resource. (ekstern lenke)
• Konstantinos Giannakis; Amanda K. Broz; Daniel B. Sloan et al. (2023). Avoiding misleading estimates using mtDNA heteroplasmy statistics to study bottleneck size and selection. (ekstern lenke)
• Boris Pantic; Daniel Ives; Mara Mennuni et al. (2021). 2-Deoxy-D-glucose couples mitochondrial DNA replication with mitochondrial fitness and promotes the selection of wild-type over mutant mitochondrial DNA. (ekstern lenke)
• Joanna M. Chustecki; Ross D Etherington; Daniel J. Gibbs et al. (2022). Altered collective mitochondrial dynamics in the Arabidopsis msh1 mutant compromising organelle DNA maintenance. (ekstern lenke)
• Sam Greenbury; Mauricio Barahona; Iain Johnston (2019). HyperTraPS: Inferring probabilistic patterns of trait acquisition in evolutionary and disease progression pathways. (ekstern lenke)
• Juvid Aryaman; Charlotte Bowles; Nick Jones et al. (2019). Mitochondrial network state scales mtDNA genetic dynamics. (ekstern lenke)
• Iain Johnston; Mark Slater; Jean-Baptiste Cazier (2022). Interdisciplinary and Transferable Concepts in Bioinformatics Education: Observations and Approaches From a UK MSc Course. (ekstern lenke)
• Angelos-Theodoros Athanasiou; T Nussbaumer; Stefan Kummer et al. (2020). S100A4 mRNA-protein relationship uncovered by measurement noise reduction. (ekstern lenke)
• Iain George Johnston; Till Hoffmann; Sam Greenbury et al. (2019). Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data. (ekstern lenke)
• Amanda K. Broz; Daniel B. Sloan; Iain Johnston (2023). Stochastic organelle genome segregation through Arabidopsis development and reproduction. (ekstern lenke)
• Arunas Radzvilavicius; Iain Johnston (2022). Organelle bottlenecks facilitate evolvability by traversing heteroplasmic fitness valleys. (ekstern lenke)
• Arunas Radzvilavicius; Sean Layh; Matthew D. Hall et al. (2021). Sexually antagonistic evolution of mitochondrial and nuclear linkage. (ekstern lenke)
• Clare Ziegler; Aleksandra Kulawska; Angeliki Kourmouli et al. (2022). Quantification and uncertainty of root growth stimulation by elevated CO<inf>2</inf> in a mature temperate deciduous forest. (ekstern lenke)
• Marcus Theodor Moen; Iain George Johnston (2022). HyperHMM: efficient inference of evolutionary and progressive dynamics on hypercubic transition graphs. (ekstern lenke)
• Hanne Hoitzing; Payam Gammage; Lindsey van Haute et al. (2019). Energetic costs of cellular and therapeutic control of stochastic mitochondrial DNA populations. (ekstern lenke)
• Jessica Renz; Kazeem Adesina Dauda; Olav Nicolay Larsson Aga et al. (2025). Evolutionary accumulation modeling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance. (ekstern lenke)
• Robert Clay Glastad; Iain Johnston (2025). Convergent pathways of reductive mitochondrial evolution characterized with hypercubic inference. (ekstern lenke)
• Robert Clay Glastad; Iain Johnston (2023). Mitochondrial network structure controls cell-to-cell mtDNA variability generated by cell divisions. (ekstern lenke)
• Iain Johnston (2019). Tension and resolution: dynamic, evolving populations of organelle genomes within plant cells. (ekstern lenke)
• Clare Ziegler; Rosemary Dyson; Iain George Johnston (2019). Model selection and parameter estimation for root architecture models using likelihood-free inference. (ekstern lenke)
• Amanda K. Broz; Alexandra Keene; Matheus Fernandes Gyorfy et al. (2022). Sorting of mitochondrial and plastid heteroplasmy in Arabidopsis is extremely rapid and depends on MSH1 activity. (ekstern lenke)
• Olav Nicolay Larsson Aga; Morten Brun; Kazeem Adesina Dauda et al. (2024). HyperTraPS-CT: Inference and prediction for accumulation pathways with flexible data and model structures. (ekstern lenke)
• Belen Garcia Pascual; Lars Moberg Salbu; Jessica Renz et al. (2024). Comparing Structure and Dynamics of Transition Graphs by the Symmetric Difference Metric Over an Edge-Filtration. (ekstern lenke)
• Salva Duran-Nebreda; Iain George Johnston; George Bassel (2020). Efficient vasculature investment in tissues can be determined without global information. (ekstern lenke)
• Joanna M. Chustecki; Daniel J. Gibbs; George W. Bassel et al. (2021). Network analysis of Arabidopsis mitochondrial dynamics reveals a resolved tradeoff between physical distribution and social connectivity. (ekstern lenke)
• Iain George Johnston; Joerg Burgstaller (2019). Evolving mtDNA populations within cells. (ekstern lenke)
• Konstantinos Giannakis; Samuel J. Arrowsmith; Luke Richards et al. (2022). Evolutionary inference across eukaryotes identifies universal features shaping organelle gene retention. (ekstern lenke)
• Iain Johnston; Ramon Diaz-Uriarte (2024). A hypercubic Mk model framework for capturing reversibility in disease, cancer, and evolutionary accumulation modelling. (ekstern lenke)
• Mona Synnøve Bjune; Laurence Dyer; Johnny Laupsa-Borge et al. (2023). Metabolic role of the hepatic valine/3-hydroxyisobutyrate (3-HIB) pathway in fatty liver disease. (ekstern lenke)
• Ana Victoria Lechuga-Vieco; Ana Latorre-Pellicer; Iain Johnston et al. (2020). Cell identity and nucleo-mitochondrial genetic context modulate OXPHOS performance and determine somatic heteroplasmy dynamics. (ekstern lenke)
• Iain Johnston; Kamaludin Dingle; Sam Greenbury et al. (2022). Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution. (ekstern lenke)
• David Edwards; Ellen Christine Røyrvik; Joanne Chustecki et al. (2021). Avoiding organelle mutational meltdown across eukaryotes with or without a germline bottleneck. (ekstern lenke)
• Robert Peach; Sam Greenbury; Iain George Johnston et al. (2021). Understanding learner behaviour in online courses with Bayesian modelling and time series characterisation. (ekstern lenke)
• Iain George Johnston (2019). Regulation of Mother-to-Offspring Transmission of mtDNA Heteroplasmy. (ekstern lenke)
• Konstantinos Giannakis; Joanna M. Chustecki; Iain George Johnston (2022). Exchange on dynamic encounter networks allows plant mitochondria to collect complete sets of mitochondrial DNA products despite their incomplete genomes. (ekstern lenke)
• Ellen Christine Røyrvik; Iain Johnston (2020). MtDNA sequence features associated with 'selfish genomes' predict tissue-specific segregation and reversion. (ekstern lenke)
• Konstantinos Giannakis; Luke Richards; Kazeem Adesina Dauda et al. (2024). Connecting Species-Specific Extents of Genome Reduction in Mitochondria and Plastids. (ekstern lenke)
• Rajneesh Kumar; Iain Johnston (2024). ATP dependence of decision-making capacity in a fine-grained model of gene regulatory networks. (ekstern lenke)
• Iain Johnston (2024). The Nitroplast and Its Relatives Support a Universal Model of Features Predicting Gene Retention in Endosymbiont and Organelle Genomes. (ekstern lenke)
• Sarah Brooke Sirota; Rose Grace Bender; Regina-Mae Villanueva Dominguez et al. (2025). Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. (ekstern lenke)
• Iain George Johnston; Ellen Christine Røyrvik (2020). Data-Driven Inference Reveals Distinct and Conserved Dynamic Pathways of Tool Use Emergence across Animal Taxa. (ekstern lenke)
• Iain George Johnston (2019). Varied mechanisms and models for the varying mitochondrial bottleneck. (ekstern lenke)
• Belen Garcia Pascual; Jan Martin Nordbotten; Iain Johnston (2023). Cellular and environmental dynamics influence species-specific extents of organelle gene retention. (ekstern lenke)
• Iain Johnston; George Bassel (2018). Identification of a bet-hedging network motif generating noise in hormone concentrations and germination propensity in Arabidopsis. (ekstern lenke)
• Ryan Kerr; Sara Jabbari; Jessica Blair et al. (2022). Dynamic Boolean modelling reveals the influence of energy supply on bacterial efflux pump expression. (ekstern lenke)
• Rajneesh Kumar; Iain Johnston (2025). Estimating physical conditions supporting gradients of ATP concentration in the eukaryotic cell. (ekstern lenke)
• Katie Stevens; Iain Johnston; Estrella Luna (2023). Data science approaches provide a roadmap to understanding the role of abscisic acid in defence. (ekstern lenke)
• Ramon Diaz-Uriarte; Iain Johnston (2025). A Picture Guide to Cancer Progression and Evolutionary Accumulation Models: Systematic Critique, Plausible Interpretations, and Alternative Uses. (ekstern lenke)
• Jennifer Lee Erickson; Jennifer Prautsch; Frisine Reynvoet et al. (2023). Stromule Geometry Allows Optimal Spatial Regulation of Organelle Interactions in the Quasi-2D Cytoplasm. (ekstern lenke)
• Ryan Kerr; Sara Jabbari; Iain Johnston (2019). Intracellular Energy Variability Modulates Cellular Decision-Making Capacity. (ekstern lenke)
• Konstantinos Giannakis; Luke Richards; Iain Johnston (2024). Ecological Predictors of Organelle Genome Evolution: Phylogenetic Correlations with Taxonomically Broad, Sparse, Unsystematized Data. (ekstern lenke)

Leserbrev

• Iain Johnston; Kamaludin Dingle; Sam F. Greenbury et al. (2022). Reply to Ocklenburg and Mundorf: The interplay of developmental bias and natural selection. (ekstern lenke)

Konferanseposter

• Rajneesh Kumar; Iain George Johnston (2023). Population Dynamics in Response to Environmental Stimuli. (ekstern lenke)
• Rajneesh Kumar; Iain George Johnston (2023). Stochastic and Deterministic Computation in the regulation of Decision – Making Genetic circuits by Energy Availability.. (ekstern lenke)

Vitenskapelig litteraturgjennomgang

• Daphné Autran; George W. Bassel; Eunyoung Chae et al. (2021). What is quantitative plant biology?. (ekstern lenke)
• Joanna M. Chustecki; Iain George Johnston (2023). Collective mitochondrial dynamics resolve conflicting cellular tensions: From plants to general principles. (ekstern lenke)
• Shibani Veeraragavan; Maria Johansen; Iain Johnston (2024). Evolution and maintenance of mtDNA gene content across eukaryotes. (ekstern lenke)

Se en full oversikt over publikasjoner i Cristin

Alle artikkeler kan vises hos Google Scholar https://scholar.google.com/citations?user=PRw6LPwAAAAJ&hl=en 

MitoPhyto (NFR FRIPRO) -- mitochondria across species

TRUST-AI4D (Trond Mohn) -- diabetes disease progression

HyperEvol (Trond Mohn) -- learning pathways of antimicrobial resistance evolution

EvoConBiO (ERC StG) -- evolution and control of bioenergetic organelles

CAMRIA (Trond Mohn) -- combatting antimicrobial resistance with interdisciplinary approaches

QUINTUS (UK NERC) -- responses of forest ecosystems to elevated CO2

HyperTraPS (Alan Turing Institute) -- inferring pathways of evolution and disease progression

Iain also supervises researchers on projects funded by the UK BBSRC and Wellcome Trust, working on plant mitochondria, seed germination, and antimicrobial resistance.