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Featured researches published by William Waites.


Journal of Cheminformatics | 2011

Open Bibliography for Science, Technology, and Medicine

Richard Jones; Mark MacGillivray; Peter Murray-Rust; Jim Pitman; Peter Sefton; Ben O'Steen; William Waites

The concept of Open Bibliography in science, technology and medicine (STM) is introduced as a combination of Open Source tools, Open specifications and Open bibliographic data. An Openly searchable and navigable network of bibliographic information and associated knowledge representations, a Bibliographic Knowledge Network, across all branches of Science, Technology and Medicine, has been designed and initiated. For this large scale endeavour, the engagement and cooperation of the multiple stakeholders in STM publishing - authors, librarians, publishers and administrators - is sought.


Bioinformatics | 2016

Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization.

Goksel Misirli; Matteo Cavaliere; William Waites; Matthew Pocock; Curtis Madsen; Owen Gilfellon; Ricardo Honorato-Zimmer; Paolo Zuliani; Vincent Danos; Anil Wipat

Motivation: Biological systems are complex and challenging to model and therefore model reuse is highly desirable. To promote model reuse, models should include both information about the specifics of simulations and the underlying biology in the form of metadata. The availability of computationally tractable metadata is especially important for the effective automated interpretation and processing of models. Metadata are typically represented as machine-readable annotations which enhance programmatic access to information about models. Rule-based languages have emerged as a modelling framework to represent the complexity of biological systems. Annotation approaches have been widely used for reaction-based formalisms such as SBML. However, rule-based languages still lack a rich annotation framework to add semantic information, such as machine-readable descriptions, to the components of a model. Results: We present an annotation framework and guidelines for annotating rule-based models, encoded in the commonly used Kappa and BioNetGen languages. We adapt widely adopted annotation approaches to rule-based models. We initially propose a syntax to store machine-readable annotations and describe a mapping between rule-based modelling entities, such as agents and rules, and their annotations. We then describe an ontology to both annotate these models and capture the information contained therein, and demonstrate annotating these models using examples. Finally, we present a proof of concept tool for extracting annotations from a model that can be queried and analyzed in a uniform way. The uniform representation of the annotations can be used to facilitate the creation, analysis, reuse and visualization of rule-based models. Although examples are given, using specific implementations the proposed techniques can be applied to rule-based models in general. Availability and implementation: The annotation ontology for rule-based models can be found at http://purl.org/rbm/rbmo. The krdf tool and associated executable examples are available at http://purl.org/rbm/rbmo/krdf. Contact: [email protected] or [email protected]


bioRxiv | 2017

Organoid And Tissue Patterning Through Phase Separation: Use Of A Vertex Model To Relate Dynamics Of Patterning To Underlying Biophysical Parameters

William Waites; Matteo Cavaliere; Elise Cachat; Vincent Danos; Jamie A. Davies

Exactly a century ago, D’Arcy Thompson set an agenda for understanding tissue development in terms of underlying biophysical, mathematically-tractable mechanisms. One such mechanism, discovered by Steinberg in the 1960s, is adhesion-mediated sorting of cell mixtures into homotypic groups. Interest in this phase separation mechanism has recently surged, partly because of its use to create synthetic biological patterning mechanisms and partly because it has been found to drive events critical to the formation of organoids from stem cells, making the process relevant to biotechnology as well as to basic development. Here, we construct quantitative model of patterning by phase separation, informed by laboratory data, and use it to explore the relationship between degree of adhesive difference and speed, type and extent of resultant patterning. Our results can be used three ways; to predict the outcome of mix-ing cells with known properties, to estimate the properties required to make some designed organoid system, or to estimate underlying cellular properties from observed behaviour.


acm special interest group on data communication | 2016

RemIX: A Distributed Internet Exchange for Remote and Rural Networks

William Waites; James Sweet; Roger Baig; Peter Buneman; Marwan Fayed; Gordon Hughes; Michael P. Fourman; Richard Simmons

The concept of the \ac{IXP}, an Ethernet fabric central to the structure of the global Internet, is largely absent from the development of community-driven collaborative network infrastructure. The reasons for this are two-fold. \acp{IXP} exist in central, typically urban, environments where strong network infrastructure ensures high levels of connectivity. Between rural and remote regions, where networks are separated by distance and terrain, no such infrastructure exists. In this paper we present RemIX a distributed \acp{IXP} architecture designed for the community network environment. We examine this praxis using an implementation in Scotland, with suggestions for future development and research.


arXiv: Molecular Networks | 2018

Annotations for Rule-Based Models.

Matteo Cavaliere; Vincent Danos; Ricardo Honorato-Zimmer; William Waites


IEEE Access | 2018

An Information-Theoretic Measure for Patterning in Epithelial Tissues

William Waites; Matteo Cavaliere; Elise Cachat; Vincent Danos; Jamie A. Dvies


Archive | 2016

Proceedings of 8th International Workshop on Bio-Design Automation IWBDA 2016

Goksel Misirli; William Waites; Matteo Cavaliere; Paolo Zuliani; Vincent Danos; Anil Wipat


ACM | 2016

ACM SIGCOMM Global Access to the Internet for All (GAIA) Workshop

William Waites; James Sweet; Roger Baig; Peter Buneman; Marwan Fayed; Gordon Hughes; Michael P. Fourman; Richard Simmons


Archive | 2015

Module Integration Simulator

William Waites; Vincent Danos; John Wilson-Kanamori


Archive | 2015

Weisse-Swain Model in MOIS

William Waites; Guillaume Terradot; Vincent Danos; John Wilson-Kanamori; Andrea Y. Weiße; Hang; gerardo; Artemis Llamosi; Aakriti Jain; Sebastian Jaramillo-Riveri

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Elise Cachat

University of Edinburgh

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