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  1. No Access

    Chapter

    Efficiency and Robustness of Processes Driven by Nucleoid Exclusion in Escherichia coli

    The internal spatial organization of prokaryotic organisms, including Escherichia coli, is essential for the proper functioning of processes such as cell division. One source of this organization in E. coli is th...

    Ines Baptista, Vatsala Chauhan, Bilena Almeida, Vinodh Kandavalli in Physical Microbiology (2020)

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    Chapter and Conference Paper

    A strategy for dissecting the kinetics of transcription repression mechanisms

    Promoters in Escherichia coli include an ‘OFF’ state, during which transcription is halted. Here, we propose a novel empirical method for assessing the time-length spent by promoters in this state. It relies on d...

    Cristina S.D. Palma, Sofia Startceva, Ramakanth Neeli-Venkata in EMBEC & NBC 2017 (2018)

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    Chapter and Conference Paper

    Generator Platform of Benchmark Time-Lapsed Images Development of Cell Tracking Algorithms: Implementation of New Features Towards a Realistic Simulation of the Cell Spatial and Temporal Organization

    Recent developments in live-cell microscopy imaging have led to the emergence of Single Cell Biology. This field has also been supported by the development of cell segmentation and tracking algorithms for dat...

    Leonardo Martins, Pedro Canelas, André Mora in Simulation and Modeling Methodologies, Tec… (2018)

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    Chapter and Conference Paper

    Estimating Effects of Extrinsic Noise on Model Genes and Circuits with Empirically Validated Kinetics

    Recent studies of Escherichia coli transcription dynamics using time-lapse confocal microscopy and in vivo single-RNA detection confirmed that transcription initiation has two main rate-limiting steps. Here, we a...

    Samuel M. D. Oliveira in Artificial Life and Evolutionary Computati… (2018)

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    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)

  6. Chapter and Conference Paper

    Detecting and Tracking the Tips of Fluorescently Labeled Mitochondria in U2OS Cells

    We present a method for automatically detecting the tips of fluorescently labeled mitochondria. The method is based on a Random Forest classifier, which is trained on small patches extracted from confocal micr...

    Eero Lihavainen, Jarno Mäkelä in Image Analysis and Processing — ICIAP 2015 (2015)

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    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)

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    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)

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    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)

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    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)

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    Chapter

    Information Flow in Systems of Interacting Agents as a Function of Local and Global Topological Features

    Information flow between elements of a system determines the system’s functioning. This flow depends on the topology of the system. This chapter presents the latest results on how a system’s structure, namely,...

    Andre S. Ribeiro in Computational Social Network Analysis (2010)