Computation In Cells And Tissues

Author : R. Paton,Hamid Bolouri,W. Michael L. Holcombe,J. Howard Parish,Richard Tateson
Publisher : Springer Science & Business Media
Page : 349 pages
File Size : 53,7 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662063699

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Computation in Cells and Tissues by R. Paton,Hamid Bolouri,W. Michael L. Holcombe,J. Howard Parish,Richard Tateson Pdf

The field of biologically inspired computation has coexisted with mainstream computing since the 1930s, and the pioneers in this area include Warren McCulloch, Walter Pitts, Robert Rosen, Otto Schmitt, Alan Turing, John von Neumann and Norbert Wiener. Ideas arising out of studies of biology have permeated algorithmics, automata theory, artificial intelligence, graphics, information systems and software design. Within this context, the biomolecular, cellular and tissue levels of biological organisation have had a considerable inspirational impact on the development of computational ideas. Such innovations include neural computing, systolic arrays, genetic and immune algorithms, cellular automata, artificial tissues, DNA computing and protein memories. With the rapid growth in biological knowledge there remains a vast source of ideas yet to be tapped. This includes developments associated with biomolecular, genomic, enzymic, metabolic, signalling and developmental systems and the various impacts on distributed, adaptive, hybrid and emergent computation. This multidisciplinary book brings together a collection of chapters by biologists, computer scientists, engineers and mathematicians who were drawn together to examine the ways in which the interdisciplinary displacement of concepts and ideas could develop new insights into emerging computing paradigms. Funded by the UK Engineering and Physical Sciences Research Council (EPSRC), the CytoCom Network formally met on five occasions to examine and discuss common issues in biology and computing that could be exploited to develop emerging models of computation.

Author : R. Paton,Hamid Bolouri,W. Michael L. Holcombe
Publisher : Unknown
Page : 366 pages
File Size : 45,8 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 3662063700

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Computation in Cells and Tissues by R. Paton,Hamid Bolouri,W. Michael L. Holcombe Pdf

Author : Liesbet Geris
Publisher : Springer Science & Business Media
Page : 438 pages
File Size : 48,5 Mb
Release : 2012-10-30
Category : Technology & Engineering
ISBN : 9783642325632

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Computational Modeling in Tissue Engineering by Liesbet Geris Pdf

One of the major challenges in tissue engineering is the translation of biological knowledge on complex cell and tissue behavior into a predictive and robust engineering process. Mastering this complexity is an essential step towards clinical applications of tissue engineering. This volume discusses computational modeling tools that allow studying the biological complexity in a more quantitative way. More specifically, computational tools can help in: (i) quantifying and optimizing the tissue engineering product, e.g. by adapting scaffold design to optimize micro-environmental signals or by adapting selection criteria to improve homogeneity of the selected cell population; (ii) quantifying and optimizing the tissue engineering process, e.g. by adapting bioreactor design to improve quality and quantity of the final product; and (iii) assessing the influence of the in vivo environment on the behavior of the tissue engineering product, e.g. by investigating vascular ingrowth. The book presents examples of each of the above mentioned areas of computational modeling. The underlying tissue engineering applications will vary from blood vessels over trachea to cartilage and bone. For the chapters describing examples of the first two areas, the main focus is on (the optimization of) mechanical signals, mass transport and fluid flow encountered by the cells in scaffolds and bioreactors as well as on the optimization of the cell population itself. In the chapters describing modeling contributions in the third area, the focus will shift towards the biology, the complex interactions between biology and the micro-environmental signals and the ways in which modeling might be able to assist in investigating and mastering this complexity. The chapters cover issues related to (multiscale/multiphysics) model building, training and validation, but also discuss recent advances in scientific computing techniques that are needed to implement these models as well as new tools that can be used to experimentally validate the computational results.

Author : Roy Cuthbertson,Ray Paton
Publisher : World Scientific
Page : 380 pages
File Size : 45,6 Mb
Release : 1996
Category : Science
ISBN : 9810228783

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Computation in Cellular and Molecular Biological Systems by Roy Cuthbertson,Ray Paton Pdf

Computation in Cellular and Molecular Biological Systems is a selection of papers presented at the First International Workshop on Information Processing in Cells and Tissues (IPCAT 95). The book contains contributions from mathematicians, biochemists, cell biologists, physiologists and computer scientists. It is multidisciplinary in nature and deals with integrative aspects of information processing, cellular systems and dynamical methods.

Author : Mike Holcombe,Ray Paton
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 44,9 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9781461553458

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Information Processing in Cells and Tissues by Mike Holcombe,Ray Paton Pdf

Proceedings of an International Workshop held in Sheffield, UK, September 1-4, 1997

Author : Michael A. Lones,Stephen L. Smith,Sarah Teichmann,Felix Naef,Jonathan Oliver,Martin Albrecht Trefzer
Publisher : Springer
Page : 278 pages
File Size : 45,6 Mb
Release : 2012-03-22
Category : Computers
ISBN : 9783642287923

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Information Processing in Cells and Tissues by Michael A. Lones,Stephen L. Smith,Sarah Teichmann,Felix Naef,Jonathan Oliver,Martin Albrecht Trefzer Pdf

This book constitutes the refereed proceedings of the 9th International Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in disciplines related to genetic and epigenetic networks, transcriptomics and gene regulation, signalling pathways and responses, protein structure and metabolic networks, patterning and rhythm generation, neural modelling and neural networks, biomedical modelling and signal processing, information processing and representation, and algorithmic approaches in computational biology.

Author : Michael Lones,Andy Tyrrell,Stephen Smith,Gary Fogel
Publisher : Springer
Page : 233 pages
File Size : 55,7 Mb
Release : 2015-09-02
Category : Computers
ISBN : 9783319231082

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Information Processing in Cells and Tissues by Michael Lones,Andy Tyrrell,Stephen Smith,Gary Fogel Pdf

This book constitutes the proceedings of the 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015, held in San Diego, CA, USA, in September 2015. The 19 papers presented in this volume were carefully reviewed and selected from 22 submissions. They were organized in topical sections named: biochemical information processing; collective and distributed behavior; patterning and rhythm generation; biochemical regulatory networks; metabolomics and phenotypes; and neural modelling and neural networks.

Author : Aslak Tveito,Kent-Andre Mardal,Marie E. Rognes
Publisher : Springer Nature
Page : 116 pages
File Size : 46,5 Mb
Release : 2020-10-30
Category : Mathematics
ISBN : 9783030611576

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Modeling Excitable Tissue by Aslak Tveito,Kent-Andre Mardal,Marie E. Rognes Pdf

This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.

Author : Pawan Raghav,Rajesh Kumar,Anjali Lathwal,Navneet Sharma
Publisher : Elsevier
Page : 568 pages
File Size : 50,7 Mb
Release : 2024-01-12
Category : Science
ISBN : 9780443132216

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Computational Biology for Stem Cell Research by Pawan Raghav,Rajesh Kumar,Anjali Lathwal,Navneet Sharma Pdf

Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.

Author : Jose Mira,José M. Ferrández,Jose-Ramon Alvarez Sanchez,Felix Paz,Javier Toledo
Publisher : Springer Science & Business Media
Page : 550 pages
File Size : 48,9 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9783642022630

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Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy by Jose Mira,José M. Ferrández,Jose-Ramon Alvarez Sanchez,Felix Paz,Javier Toledo Pdf

The two-volume set LNCS 5601 and LNCS 5602 constitutes the refereed proceedings of the Third International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2009, held in Santiago de Compostela, Spain, in June 2009. The 108 revised papers presented are thematically divided into two volumes. The first volume includes papers relating the most recent collaborations with Professor Mira and contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition. The second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.

Author : Alexander Anderson,Katarzyna Rejniak
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 40,5 Mb
Release : 2007-06-22
Category : Mathematics
ISBN : 9783764381011

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Single-Cell-Based Models in Biology and Medicine by Alexander Anderson,Katarzyna Rejniak Pdf

Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.

Author : Adriana Compagnoni,William Casey,Yang Cai,Bud Mishra
Publisher : Springer
Page : 209 pages
File Size : 41,9 Mb
Release : 2019-07-23
Category : Computers
ISBN : 9783030242022

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Bio-inspired Information and Communication Technologies by Adriana Compagnoni,William Casey,Yang Cai,Bud Mishra Pdf

This book constitutes the refereed conference proceedings of the 11th International Conference on Bio-Inspired Information and Communications Technologies, held in Pittsburgh, PA, USA, in March 2019. The 13 revised full papers and 2 short papers were selected from 29 submissions. Past iterations of the conference have attracted contributions in Direct Bioinspiration (physical biological materials and systems used within technology) as well as Indirect Bioinspiration (biological principles, processes and mechanisms used within the design and application of technology). This year, the scope has expanded to include a third thrust: Foundational Bioinspiration (bioinspired aspects of game theory, evolution, information theory, and philosophy of science).

Author : Pierluigi Frisco
Publisher : OUP Oxford
Page : 368 pages
File Size : 50,5 Mb
Release : 2009-05-21
Category : Mathematics
ISBN : 9780191579639

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Computing with Cells by Pierluigi Frisco Pdf

Membrane systems are a new class of distributed and parallel model of computation inspired by the subdivision of living cells into compartments delimited by membranes. Their hierarchical internal structure, their locality of interactions, their inherent parallelism and also their capacity to create new compartments, represent the distinguishing hallmarks of membrane systems. Membrane computing, the study of membrane systems, is a fascinating and fast growing area of research. The main streams of current investigations in Membrane Computing concern theoretical computer science and the modelling of complex systems. In this monograph Pierluigi Frisco considers the former trend: he presents an in-depth study of the formal language and computational complexity aspects of the most widely investigated models of membrane systems. This study gives a comprehensive understanding of the computational power of the models considered, shows different proof techniques used for such study, and introduces links highlighting the similarities and differences between the their computational power. These models cover a broad range of features, giving a grasp of the enormous flexibility of the framework offered by membrane systems. Aimed at graduates and researchers in the field, who can use it as a reference text, and to people with an initial interest in Membrane Computing, who can use it as a clear and up to date starting point for Membrane Computing.

Author : Martyn Amos
Publisher : Oxford University Press
Page : 240 pages
File Size : 47,7 Mb
Release : 2004-08-05
Category : Science
ISBN : 9780198035374

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Cellular Computing by Martyn Amos Pdf

The completion of the first draft of the human genome has led to an explosion of interest in genetics and molecular biology. The view of the genome as a network of interacting computational components is well-established, but researchers are now trying to reverse the analogy, by using living organisms to construct logic circuits. The potential applications for such technologies is huge, ranging from bio-sensors, through industrial applications to drug delivery and diagnostics. This book would be the first to deal with the implementation of this technology, describing several working experimental demonstrations using cells as components of logic circuits, building toward computers incorporating biological components in their functioning.

Author : Christopher P. Fall,Eric S. Marland,John M. Wagner,John J. Tyson
Publisher : Springer Science & Business Media
Page : 468 pages
File Size : 53,6 Mb
Release : 2007-06-04
Category : Science
ISBN : 9780387224596

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Computational Cell Biology by Christopher P. Fall,Eric S. Marland,John M. Wagner,John J. Tyson Pdf

This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.