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  1. No Access

    Chapter and Conference Paper

    Modeling and Engineering Promoters with Pre-defined RNA Production Dynamics in Escherichia Coli

    Recent developments in live-cell time-lapse microscopy and signal processing methods for single-cell, single-RNA detection now allow characterizing the in vivo dynamics of RNA production of Escherichia coli promo...

    Samuel M. D. Oliveira, Mohamed N. M. Bahrudeen in Computational Methods in Systems Biology (2018)

  2. No Access

    Chapter and Conference Paper

    Modelling Polar Retention of Complexes in Escherichia coli

    The cytoplasm of Escherichia coli is a crowded, heterogeneous environment. The spatial kinetics and heterogeneities of synthetic RNA-protein complexes have been recently studied using single-cell live imaging. A ...

    Abhishekh Gupta, Jason Lloyd-Price in Computational Methods in Systems Biology (2014)

  3. Article

    Open Access

    Effects of multimerization on the temporal variability of protein complex abundance

    We explore whether the process of multimerization can be used as a means to regulate noise in the abundance of functional protein complexes. Additionally, we analyze how this process affects the mean level of ...

    Antti Häkkinen, Huy Tran, Olli Yli-Harja, Brian Ingalls in BMC Systems Biology (2013)

  4. Article

    Open Access

    Cell segmentation by multi-resolution analysis and maximum likelihood estimation (MAMLE)

    Cell imaging is becoming an indispensable tool for cell and molecular biology research. However, most processes studied are stochastic in nature, and require the observation of many cells and events. Ideally, ...

    Sharif Chowdhury, Meenakshisundaram Kandhavelu, Olli Yli-Harja in BMC Bioinformatics (2013)

  5. Article

    Open Access

    Detecting sequence dependent transcriptional pauses from RNA and protein number time series

    Evidence suggests that in prokaryotes sequence-dependent transcriptional pauses affect the dynamics of transcription and translation, as well as of small genetic circuits. So far, a few pause-prone sequences h...

    Frank Emmert-Streib, Antti Häkkinen, Andre S Ribeiro in BMC Bioinformatics (2012)

  6. No Access

    Chapter and Conference Paper

    Expressive Statistical Model Checking of Genetic Networks with Delayed Stochastic Dynamics

    The recently introduced Hybrid Automata Stochastic Logic (HASL) establishes a powerful framework for the analysis of a broad class of stochastic processes, namely Discrete Event Stochastic Processes (DESPs). H...

    Paolo Ballarini, Jarno Mäkelä, Andre S. Ribeiro in Computational Methods in Systems Biology (2012)

  7. Article

    Open Access

    In vivo kinetics of transcription initiation of the lar promoter in Escherichia coli. Evidence for a sequential mechanism with two rate-limiting steps

    In Escherichia coli the mean and cell-to-cell diversity in RNA numbers of different genes vary widely. This is likely due to different kinetics of transcription initiation, a complex process with multiple rate-li...

    Meenakshisundaram Kandhavelu, Henrik Mannerström, Abhishekh Gupta in BMC Systems Biology (2011)

  8. Article

    Open Access

    Stochastic sequence-level model of coupled transcription and translation in prokaryotes

    In prokaryotes, transcription and translation are dynamically coupled, as the latter starts before the former is complete. Also, from one transcript, several translation events occur in parallel. To study how ...

    Jarno Mäkelä, Jason Lloyd-Price, Olli Yli-Harja, Andre S Ribeiro in BMC Bioinformatics (2011)

  9. No Access

    Chapter

    Evolutionary Dynamics of a Population of Cells with a Toxin Suppressor Gene

    Environmental changes are known to trigger evolutionary changes, e.g. by favoring higher mutation rates. We study the evolutionary dynamics of a delayed stochastic genetic circuit using a simulator developed f...

    Antti Häkkinen, Fred G. Biddle in Transactions on Computational Systems Biol… (2011)

  10. No Access

    Chapter

    Information Propagation in the Long-Term Behavior of Gene Regulatory Networks

    Gene regulatory networks (GRNs) constantly receive, process and send information. While stochastic in nature, GRNs respond differently to different inputs and similarly to identical inputs. Since cell types st...

    Andre S. Ribeiro, Jason Lloyd-Price in Information Processing and Biological Systems (2011)

  11. Article

    Open Access

    Inference of Kinetic Parameters of Delayed Stochastic Models of Gene Expression Using a Markov Chain Approximation

    We propose a Markov chain approximation of the delayed stochastic simulation algorithm to infer properties of the mechanisms in prokaryote transcription from the dynamics of RNA levels. We model transcription ...

    Henrik Mannerstrom, Olli Yli-Harja in EURASIP Journal on Bioinformatics and Syst… (2010)

  12. Article

    Open Access

    Information propagation within the Genetic Network of Saccharomyces cerevisiae

    A gene network's capacity to process information, so as to bind past events to future actions, depends on its structure and logic. From previous and new microarray measurements in Saccharomyces cerevisiae followi...

    Sharif Chowdhury, Jason Lloyd-Price, Olli-Pekka Smolander in BMC Systems Biology (2010)