18 results on '"Gorochowski T"'
Search Results
2. Synthetic biology open language visual (SBOL Visual) version 2.3
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Baig, H, Fontanarossa, P, Kulkarni, V, McLaughlin, J, Vaidyanathan, P, Bartley, B, Bhakta, S, Bhatia, S, Bissell, M, Clancy, K, Cox, RS, Goñi Moreno, A, Gorochowski, T, Grunberg, R, Lee, J, Luna, A, Madsen, C, Misirli, G, Nguyen, T, Le Novere, N, Palchick, Z, Pocock, M, Roehner, N, Sauro, H, Scott-Brown, J, Sexton, JT, Stan, G-B, Tabor, JJ, Terry, L, Vazquez Vilar, M, Voigt, CA, Wipat, A, Zong, D, Zundel, Z, Beal, J, and Myers, C
- Subjects
R1 - Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.3 of SBOL Visual, which builds on the prior SBOL Visual 2.2 in several ways. First, the specification now includes higher-level "interactions with interactions," such as an inducer molecule stimulating a repression interaction. Second, binding with a nucleic acid backbone can be shown by overlapping glyphs, as with other molecular complexes. Finally, a new "unspecified interaction" glyph is added for visualizing interactions whose nature is unknown, the "insulator" glyph is deprecated in favor of a new "inert DNA spacer" glyph, and the polypeptide region glyph is recommended for showing 2A sequences.
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- 2021
3. Towards engineering biosystems with emergent collective functions
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Gorochowski, T., Hauert, S., Kreft, J., Marucci, L., Stillman, N., Tang, T., Bandiera, L., Bartoli, V., Dixon, D., Fedorec, A., Fellermann, H., Fletcher, A., Foster, T., Giuggioli, L., Matyjaszkiewicz, A., McCornick, S., Montes Olivas, S., Naylor, J., Denniss, A., and Ward, D.
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- 2020
4. Synthetic biology open language (SBOL) version 3.1.0
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Buecherl Lukas, Mitchell Thomas, Scott-Brown James, Vaidyanathan Prashant, Vidal Gonzalo, Baig Hasan, Bartley Bryan, Beal Jacob, Crowther Matthew, Fontanarrosa Pedro, Gorochowski Thomas, Grünberg Raik, Kulkarni Vishwesh, McLaughlin James, Mısırlı Göksel, Oberortner Ernst, Wipat Anil, and Myers Chris
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Biotechnology ,TP248.13-248.65 - Abstract
Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange information about multiple types of molecules, the intended behavior of the system, and actual experimental measurements. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, following an open community process involving both bench scientists and scientific modelers and software developers, across academia, industry, and other institutions. This document describes SBOL 3.1.0, which improves on version 3.0.0 by including a number of corrections and clarifications as well as several other updates and enhancements. First, this version includes a complete set of validation rules for checking whether documents are valid SBOL 3. Second, the best practices section has been moved to an online repository that allows for more rapid and interactive of sharing these conventions. Third, it includes updates based upon six community approved enhancement proposals. Two enhancement proposals are related to the representation of an object’s namespace. In particular, the Namespace class has been removed and replaced with a namespace property on each class. Another enhancement is the generalization of the CombinatorialDeriviation class to allow direct use of Features and Measures. Next, the Participation class now allow Interactions to be participants to describe higher-order interactions. Another change is the use of Sequence Ontology terms for Feature orientation. Finally, this version of SBOL has generalized from using Unique Reference Identifiers (URIs) to Internationalized Resource Identifiers (IRIs) to support international character sets.
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- 2023
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5. Specifications of standards in systems and synthetic biology: status and developments in 2022 and the COMBINE meeting 2022
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König Matthias, Gleeson Padraig, Golebiewski Martin, Gorochowski Thomas E., Hucka Michael, Keating Sarah M., Myers Chris J., Nickerson David P., Sommer Björn, Waltemath Dagmar, and Schreiber Falk
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Biotechnology ,TP248.13-248.65 - Abstract
This special issue of the Journal of Integrative Bioinformatics contains updated specifications of COMBINE standards in systems and synthetic biology. The 2022 special issue presents three updates to the standards: CellML 2.0.1, SBML Level 3 Package: Spatial Processes, Version 1, Release 1, and Synthetic Biology Open Language (SBOL) Version 3.1.0. This document can also be used to identify the latest specifications for all COMBINE standards. In addition, this editorial provides a brief overview of the COMBINE 2022 meeting in Berlin.
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- 2023
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6. Specifications of standards in systems and synthetic biology: status and developments in 2021
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Schreiber Falk, Gleeson Padraig, Golebiewski Martin, Gorochowski Thomas E., Hucka Michael, Keating Sarah M., König Matthias, Myers Chris J., Nickerson David P., Sommer Björn, and Waltemath Dagmar
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Biotechnology ,TP248.13-248.65 - Abstract
This special issue of the Journal of Integrative Bioinformatics contains updated specifications of COMBINE standards in systems and synthetic biology. The 2021 special issue presents four updates of standards: Synthetic Biology Open Language Visual Version 2.3, Synthetic Biology Open Language Visual Version 3.0, Simulation Experiment Description Markup Language Level 1 Version 4, and OMEX Metadata specification Version 1.2. This document can also be consulted to identify the latest specifications of all COMBINE standards.
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- 2021
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7. Specifications of standards in systems and synthetic biology: status and developments in 2020
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Schreiber Falk, Sommer Björn, Czauderna Tobias, Golebiewski Martin, Gorochowski Thomas E., Hucka Michael, Keating Sarah M., König Matthias, Myers Chris, Nickerson David, and Waltemath Dagmar
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ontologies ,standards ,systems biology ,synthetic biology ,Biotechnology ,TP248.13-248.65 - Abstract
This special issue of the Journal of Integrative Bioinformatics presents papers related to the 10th COMBINE meeting together with the annual update of COMBINE standards in systems and synthetic biology.
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- 2020
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8. Synthetic biology open language visual (SBOL visual) version 3.0
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Baig Hasan, Fontanarossa Pedro, McLaughlin James, Scott-Brown James, Vaidyanathan Prashant, Gorochowski Thomas, Misirli Goksel, Beal Jacob, and Myers Chris
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diagrams ,sbol visual ,standards ,Biotechnology ,TP248.13-248.65 - Abstract
People who engineer biological organisms often find it useful to draw diagrams in order to communicate both the structure of the nucleic acid sequences that they are engineering and the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. SBOL Visual aims to organize and systematize such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 3.0 of SBOL Visual, a new major revision of the standard. The major difference between SBOL Visual 3 and SBOL Visual 2 is that diagrams and glyphs are defined with respect to the SBOL 3 data model rather than the SBOL 2 data model. A byproduct of this change is that the use of dashed undirected lines for subsystem mappings has been removed, pending future determination on how to represent general SBOL 3 constraints; in the interim, this annotation can still be used as an annotation. Finally, deprecated material has been removed from collection of glyphs: the deprecated “insulator” glyph and “macromolecule” alternative glyphs have been removed, as have the deprecated BioPAX alternatives to SBO terms.
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- 2021
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9. Using Aging to Visually Uncover Evolutionary Processes on Networks
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Gorochowski, T. E., primary, di Bernardo, M., additional, and Grierson, C. S., additional
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- 2012
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10. Synthetic biology open language visual (SBOL Visual) version 2.3
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Baig Hasan, Fontanarossa Pedro, Kulkarni Vishwesh, McLaughlin James, Vaidyanathan Prashant, Bartley Bryan, Bhakta Shyam, Bhatia Swapnil, Bissell Mike, Clancy Kevin, Cox Robert Sidney, Goñi Moreno Angel, Gorochowski Thomas, Grunberg Raik, Lee Jihwan, Luna Augustin, Madsen Curtis, Misirli Goksel, Nguyen Tramy, Le Novere Nicolas, Palchick Zachary, Pocock Matthew, Roehner Nicholas, Sauro Herbert, Scott-Brown James, Sexton John T., Stan Guy-Bart, Tabor Jeffrey J., Terry Logan, Vazquez Vilar Marta, Voigt Christopher A., Wipat Anil, Zong David, Zundel Zach, Beal Jacob, and Myers Chris
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diagrams ,sbol visual ,standards ,Biotechnology ,TP248.13-248.65 - Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.3 of SBOL Visual, which builds on the prior SBOL Visual 2.2 in several ways. First, the specification now includes higher-level “interactions with interactions,” such as an inducer molecule stimulating a repression interaction. Second, binding with a nucleic acid backbone can be shown by overlapping glyphs, as with other molecular complexes. Finally, a new “unspecified interaction” glyph is added for visualizing interactions whose nature is unknown, the “insulator” glyph is deprecated in favor of a new “inert DNA spacer” glyph, and the polypeptide region glyph is recommended for showing 2A sequences.
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- 2021
- Full Text
- View/download PDF
11. Synthetic biology open language visual (SBOL visual) version 2.2
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Baig Hasan, Fontanarrosa Pedro, Kulkarni Vishwesh, McLaughlin James, Vaidyanathan Prashant, Bartley Bryan, Bhatia Swapnil, Bhakta Shyam, Bissell Michael, Clancy Kevin, Cox Robert Sidney, Moreno Angel Goñi, Gorochowski Thomas, Grunberg Raik, Luna Augustin, Madsen Curtis, Misirli Goksel, Nguyen Tramy, Le Novere Nicolas, Palchick Zachary, Pocock Matthew, Roehner Nicholas, Sauro Herbert, Scott-Brown James, Sexton John T., Stan Guy-Bart, Tabor Jeffrey J., Vilar Marta Vazquez, Voigt Christopher A., Wipat Anil, Zong David, Zundel Zach, Beal Jacob, and Myers Chris
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diagrams ,sbol visual ,standards ,Biotechnology ,TP248.13-248.65 - Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.2 of SBOL Visual, which builds on the prior SBOL Visual 2.1 in several ways. First, the grounding of molecular species glyphs is changed from BioPAX to SBO, aligning with the use of SBO terms for interaction glyphs. Second, new glyphs are added for proteins, introns, and polypeptide regions (e. g., protein domains), the prior recommended macromolecule glyph is deprecated in favor of its alternative, and small polygons are introduced as alternative glyphs for simple chemicals.
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- 2020
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12. Synthetic biology open language (SBOL) version 3.0.0
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Baig Hasan, Fontanarrosa Pedro, Kulkarni Vishwesh, McLaughlin James Alastair, Vaidyanathan Prashant, Bartley Bryan, Beal Jacob, Crowther Matthew, Gorochowski Thomas E., Grünberg Raik, Misirli Goksel, Scott-Brown James, Oberortner Ernst, Wipat Anil, and Myers Chris J.
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bioengineering ,biological design ,data standards ,synthetic biology ,Biotechnology ,TP248.13-248.65 - Abstract
Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange information about multiple types of molecules, the intended behavior of the system, and actual experimental measurements. The Synthetic Biology Open Language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, following an open community process involving both wet bench scientists and dry scientific modelers and software developers, across academia, industry, and other institutions. This document describes SBOL 3.0.0, which condenses and simplifies previous versions of SBOL based on experiences in deployment across a variety of scientific and industrial settings. In particular, SBOL 3.0.0, (1) separates sequence features from part/sub-part relationships, (2) renames Component Definition/Component to Component/Sub-Component, (3) merges Component and Module classes, (4) ensures consistency between data model and ontology terms, (5) extends the means to define and reference Sub-Components, (6) refines requirements on object URIs, (7) enables graph-based serialization, (8) moves Systems Biology Ontology (SBO) for Component types, (9) makes all sequence associations explicit, (10) makes interfaces explicit, (11) generalizes Sequence Constraints into a general structural Constraint class, and (12) expands the set of allowed constraints.
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- 2020
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13. Synthetic Biology Open Language Visual (SBOL Visual) Version 2.1
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Madsen Curtis, Goni Moreno Angel, Palchick Zachary, P Umesh, Roehner Nicholas, Bartley Bryan, Bhatia Swapnil, Bhakta Shyam, Bissell Mike, Clancy Kevin, Cox Robert Sidney, Gorochowski Thomas, Grunberg Raik, Luna Augustin, McLaughlin James, Nguyen Tramy, Le Novere Nicolas, Pocock Matthew, Sauro Herbert, Scott-Brown James, Sexton John T., Stan Guy-Bart, Tabor Jeffrey J., Voigt Christopher A., Zundel Zach, Myers Chris, Beal Jacob, and Wipat Anil
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sbol visual ,standards ,diagrams ,Biotechnology ,TP248.13-248.65 - Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species . Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.1 of SBOL Visual, which builds on the prior SBOL Visual 2.0 standard by expanding diagram syntax to include methods for showing modular structure and mappings between elements of a system, interactions arrows that can split or join (with the glyph at the split or join indicating either superposition or a chemical process), and adding new glyphs for indicating genomic context (e.g., integration into a plasmid or genome) and for stop codons.
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- 2019
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14. Synthetic Biology Open Language (SBOL) Version 2.3
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Madsen Curtis, Goñi Moreno Angel, P Umesh, Palchick Zachary, Roehner Nicholas, Atallah Christian, Bartley Bryan, Choi Kiri, Cox Robert Sidney, Gorochowski Thomas, Grünberg Raik, Macklin Chris, McLaughlin James, Meng Xianwei, Nguyen Tramy, Pocock Matthew, Samineni Meher, Scott-Brown James, Tarter Ysis, Zhang Michael, Zhang Zhen, Zundel Zach, Beal Jacob, Bissell Michael, Clancy Kevin, Gennari John H., Misirli Goksel, Myers Chris, Oberortner Ernst, Sauro Herbert, and Wipat Anil
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synthetic biology ,synthetic biology open language ,standards ,Biotechnology ,TP248.13-248.65 - Abstract
Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems is to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.3.0 of SBOL, which builds upon version 2.2.0 published in last year’s JIB Standards in Systems Biology special issue. In particular, SBOL 2.3.0 includes means of succinctly representing sequence modifications, such as insertion, deletion, and replacement, an extension to support organization and attachment of experimental data derived from designs, and an extension for describing numerical parameters of design elements. The new version also includes specifying types of synthetic biology activities, unambiguous locations for sequences with multiple encodings, refinement of a number of validation rules, improved figures and examples, and clarification on a number of issues related to the use of external ontology terms.
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- 2019
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15. Synthetic Biology Open Language Visual (SBOL Visual) Version 2.0
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Cox Robert Sidney, Madsen Curtis, McLaughlin James, Nguyen Tramy, Roehner Nicholas, Bartley Bryan, Bhatia Swapnil, Bissell Mike, Clancy Kevin, Gorochowski Thomas, Grünberg Raik, Luna Augustin, Le Novère Nicolas, Pocock Matthew, Sauro Herbert, Sexton John T., Stan Guy-Bart, Tabor Jeffrey J., Voigt Christopher A., Zundel Zach, Myers Chris, Beal Jacob, and Wipat Anil
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sbol visual ,standards ,diagrams ,Biotechnology ,TP248.13-248.65 - Abstract
People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthetic Biology Open Language Visual (SBOL Visual) has been developed as a standard for organizing and systematizing such conventions in order to produce a coherent language for expressing the structure and function of genetic designs. This document details version 2.0 of SBOL Visual, which builds on the prior SBOL Visual 1.0 standard by expanding diagram syntax to include functional interactions and molecular species, making the relationship between diagrams and the SBOL data model explicit, supporting families of symbol variants, clarifying a number of requirements and best practices, and significantly expanding the collection of diagram glyphs.
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- 2018
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16. Cheetah: A Computational Toolkit for Cybergenetic Control
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Thomas E. Gorochowski, Nigel J. Savery, Antonella La Regina, Claire S. Grierson, Lorena Postiglione, Elisa Pedone, Irene de Cesare, Lucia Marucci, Mario di Bernardo, David Haener, Criseida Zamora, Barbara Shannon, Pedone, E., De Cesare, I., Zamora-Chimal, C. G., Haener, D., Postiglione, L., La Regina, A., Shannon, B., Savery, N. J., Grierson, C. S., Di Bernardo, M., Gorochowski, T. E., and Marucci, L.
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0106 biological sciences ,Computer science ,01 natural sciences ,Convolutional neural network ,Protein expression ,Computer System ,Synthetic biology ,Mice ,0302 clinical medicine ,cybergenetic ,Mammalian cell ,Lab-On-A-Chip Devices ,Image Processing, Computer-Assisted ,Segmentation ,Control (linguistics) ,0303 health sciences ,Microscopy ,Mouse Embryonic Stem Cells ,General Medicine ,Thresholding ,U-Net ,Data Accuracy ,Synthetic Biology ,Microfluidics ,Biomedical Engineering ,Reproducibility of Result ,Optogenetics ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,Cell Line ,03 medical and health sciences ,Computer Systems ,010608 biotechnology ,Escherichia coli ,Animals ,Bespoke ,030304 developmental biology ,business.industry ,Animal ,Deep learning ,Reproducibility of Results ,deep learning ,Mouse Embryonic Stem Cell ,Image segmentation ,Computer architecture ,Lab-On-A-Chip Device ,Artificial intelligence ,business ,image analysi ,030217 neurology & neurosurgery ,Software - Abstract
Advances in microscopy, microfluidics and optogenetics enable single-cell monitoring and environmental regulation and offer the means to control cellular phenotypes. The development of such systems is challenging and often results in bespoke setups that hinder reproducibility. To address this, we introduce Cheetah – a flexible computational toolkit that simplifies the integration of real-time microscopy analysis with algorithms for cellular control. Central to the platform is an image segmentation system based on the versatile U-Net convolutional neural network. This is supplemented with functionality to robustly count, characterise and control cells over time. We demonstrate Cheetah’s core capabilities by analysing long-term bacterial and mammalian cell growth and by dynamically controlling protein expression in mammalian cells. In all cases, Cheetah’s segmentation accuracy exceeds that of a commonly used thresholding-based method, allowing for more accurate control signals to be generated. Availability of this easy-to-use platform will make control engineering techniques more accessible and offer new ways to probe and manipulate living cells.
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- 2021
17. Organization of feed-forward loop motifs reveals architectural principles in natural and engineered networks
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Mario di Bernardo, Claire S. Grierson, Thomas E. Gorochowski, Gorochowski, T. E., Grierson, C. S., and Di Bernardo, M.
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0301 basic medicine ,Theoretical computer science ,Computer science ,Systems biology ,motifs ,Complex system ,Metabolic network ,BrisSynBio ,feed-forward loop ,Biology ,Bioinformatics ,Architectural principles ,Quantitative Biology::Subcellular Processes ,Synthetic biology ,03 medical and health sciences ,0302 clinical medicine ,Computer Science::Multimedia ,Journal Article ,complex systems ,Cluster analysis ,Research Articles ,030304 developmental biology ,Quantitative Biology::Biomolecules ,Network Science ,0303 health sciences ,Multidisciplinary ,ComputingMilieux_THECOMPUTINGPROFESSION ,Research Support, Non-U.S. Gov't ,Bristol BioDesign Institute ,Feed forward ,SciAdv r-articles ,systems biology ,030104 developmental biology ,ComputingMethodologies_PATTERNRECOGNITION ,networks ,synthetic biology ,Motif (music) ,030217 neurology & neurosurgery ,clustering ,Research Article - Abstract
We develop methods to decipher the rules controlling how small structures cluster and connect in complex networks., Network motifs are significantly overrepresented subgraphs that have been proposed as building blocks for natural and engineered networks. Detailed functional analysis has been performed for many types of motif in isolation, but less is known about how motifs work together to perform complex tasks. To address this issue, we measure the aggregation of network motifs via methods that extract precisely how these structures are connected. Applying this approach to a broad spectrum of networked systems and focusing on the widespread feed-forward loop motif, we uncover striking differences in motif organization. The types of connection are often highly constrained, differ between domains, and clearly capture architectural principles. We show how this information can be used to effectively predict functionally important nodes in the metabolic network of Escherichia coli. Our findings have implications for understanding how networked systems are constructed from motif parts and elucidate constraints that guide their evolution.
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- 2018
18. Synchronization and Control of Complex Networks via Contraction, Adaptation and Evolution
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Pietro DeLellis, Giovanni Russo, Thomas E. Gorochowski, Mario di Bernardo, DE LELLIS, Pietro, DI BERNARDO, Mario, Russo, G, and Gorochowski, T.
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Computer Science::Multiagent Systems ,Adaptive control ,Computer science ,Synchronization networks ,Multi-agent system ,Distributed computing ,Graph (abstract data type) ,Interaction protocol ,Electrical and Electronic Engineering ,Complex network ,Network topology ,Synchronization ,Computer Science Applications - Abstract
Complex networked systems abound in Nature and Technology. They consist of a multitude of interacting agents communicating with each other over a web of complex interconnections. Flocks of birds, platoon of cooperating robots, swirling fishes in the Ocean are all examples whose intricate dynamics can be modeled in terms of three essential ingredients: (i) a mathematical description of the dynamical behavior of each of the agents in the network; (ii) an interaction (or coupling) protocol used by agents to communicate with each other and (iii) a graph describing the network of interconnections between neighboring agents. These three elements are actually mapped onto the mathematical model usually considered in the literature to describe a complex network which uses appropriate equations to describe the node dynamics, the coupling protocol and the network topology.
- Published
- 2010
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