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Correction: Intestinal epithelial cell-specific RARα depletion results in aberrant epithelial cell homeostasis and underdeveloped immune system

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Mucosal immunology 2019年第2期12卷 580页

作者： H B Jijon L Suarez-Lopez O E Diaz S Das J De Calisto M Parada-Kusz M B Yaffe M J Pittet J R Mora Y Belkaid R J Xavier E J Villablanca Center for Computational and Integrative Biology Massachusetts General Hospital Boston MA USA. Broad Institute Cambridge MA USA. Gastrointestinal Research Group Division of Gastroenterology University of Calgary Calgary AB Canada. David H. Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology Cambridge MA USA. Immunology and Allergy Unit Department of Medicine Solna Karolinska Institute and University Hospital Stockholm Sweden. Faculty of Sciences Center for Genomics and Bioinformatics Dental School Universidad Mayor Chile. Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA USA. Division of Acute Care Surgery Trauma and Critical Care Department of Surgery Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. Center for Systems Biology Massachusetts General Hospital Boston MA USA. Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease Massachusetts General Hospital Boston MA USA. National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD USA. Mucosal Immunology Section Laboratory of Parasitic Diseases National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda MD USA. Center for Computational and Integrative Biology Massachusetts General Hospital Boston MA USA. eduardo.villablanca@ki.se. Broad Institute Cambridge MA USA. eduardo.villablanca@ki.se. Immunology and Allergy Unit Department of Medicine Solna Karolinska Institute and University Hospital Stockholm Sweden. eduardo.villablanca@ki.se. Gastrointestinal Unit and Center for the Study of Inflammatory Bowel Disease Massachusetts General Hospital Boston MA USA. eduardo.villablanca@ki.se.

The original version of this Article omitted the author Margarita Parada-kusz from the Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA, USA.

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Optical Neuromorphic Processor at 11 TeraOPs/s based on Kerr Soliton Crystal Micro-combs

Optical Neuromorphic Processor at 11 TeraOPs/s based on Kerr...

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Optical Fiber Communication Conference, OFC 2016

作者： Tan, Mengxi Xu, Xingyuan Wu, Jiayang Boes, Andreas Corcoran, Bill Nguyen, Thach G. Chu, Sai T. Little, Brent E. Hicks, Damien G. Morandotti, Roberto Mitchell, Arnan Moss, David J. Optical Sciences Centre Swinburne University of Technology HawthornVIC Australia Department of Electrical and Computer Systems Engineering Monash University ClaytonVIC Australia School of Engineering RMIT University MelbourneVIC Australia Department of Physics City University of Hong Kong Hong Kong Xi’an Institute of Optics and Precision Mechanics Precision Mechanics of CAS Xi’an China Bioinformatics Division Walter & Eliza Hall Institute of Medical Research ParkvilleVIC Australia INRS-Énergie Matériaux et Télécommunications 1650 Boulevard Lionel-Boulet VarennesQC Canada

ISBN: (纸本)9781943580071

We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS, generating convolutions of images of 250,000 pixels with 8-bit resolution for 10 kernels simultaneously. We use the same hardware to form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 88% accuracy. Our approach is scalable and trainable for applications to unmanned vehicle and real-time video recognition. © 2022 The Author(s).

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Proceedings of the 16th Annual UT-KBRIN bioinformatics Summit 2016: proceedings

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BMC Proceedings 2017年第9期11卷 1-6页

作者： L. Leon Dent Sammed N. Mandape Siddharth Pratap Jianan Dong Jamaine Davis Jennifer A. Gaddy Kofi Amoah Steve Damo Dana R. Marshall Jacob Jones Toni Brandt Gilberto Diaz Qingguo Wang Todd Gary Ashwini Yenamandra Marina Z. Ghattas Marwa Elrakaiby Ramy K. Aziz Hamdallah H. Zedan Moamen Elmassry Marwa ElRakaiby Mariam Lotfy Jarrad Marcel Rania A. Khattab Maha M. Abdelfattah Jack A. Gilbert Pouya Dini Shavahn C. Loux Kirsten E. Scoggin Alejandro Esteller-Vico Edward L. Squires Mats H. T. Troedsson Barry A. Ball Peter Daels Kalpani De Silva Ernest Bailey Joel C. Stephens Theodore S. Kalbfleisch Christine E. Dolin Lauren G. Poole Gavin E. Arteel Michael L. Merchant Daniel W. Wilkey Michelle T. Barati Eric C. Rouchka Richard M. Higashi Teresa W-M Fan Hunter Moseley Andrew N Lane Department of Surgery Meharry Medical College Nashville TN 37208 USA Bioinformatics Core Meharry Medical College Nashville TN 37208 USA Department of Biochemistry and Cancer Biology Meharry Medical College Nashville TN 37208 USA Department of Medicine Vanderbilt University Medical Center Nashville TN 37232 USA Department of Life and Physical Sciences Fisk University Nashville TN 37208 USA Department of Pathology Anatomy and Cell Biology Meharry Medical College Nashville TN 37208 USA College of Computing and Technology Lipscomb University 1 University Park Drive Nashville TN 37204 USA Vanderbilt University Medical Center Nashville TN 37232 USA Office of Research Middle Tennessee State University 1301 East Main St Murfreesboro TN 37132 USA Department of Microbiology and Immunology Faculty of Pharmacy Cairo University Cairo Egypt Department of Biological Sciences Texas Tech University Lubbock TX 79409 USA Clinical Operations Department Ray-Clinical Research Organization Giza Egypt Genomic and Systems Biology Bioscience Division Argonne National Laboratory Argonne IL 60439 USA Research Institute of Ophthalmology Giza Egypt Department of Surgery University of Chicago Chicago IL 60637 USA Microbial Ecology Group Argonne National Laboratory Argonne IL 60439 USA Department of Veterinary Science University of Kentucky Lexington KY 40536 USA Department of Reproduction Faculty of Veterinary Medicine University of Gent Merelbeke Belgium Interdisciplinary Studies Program: Specialization in Bioinformatics University of Louisville Louisville KY 40292 USA Department of Veterinary Science University of Kentucky Lexington KY 40506 USA Genomics GPS Guilford CT 06437 USA Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Louisville KY 40292 USA Department of Pharmacology & Toxicology University of Louisville Louisville KY 40202 USA Department of Medicine University of Louisville

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Publisher Correction: The tuatara genome reveals ancient features of amniote evolution

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Nature 2020年第7823期585卷 E3页

作者： Neil J Gemmell Kim Rutherford Stefan Prost Marc Tollis David Winter J Robert Macey David L Adelson Alexander Suh Terry Bertozzi José H Grau Chris Organ Paul P Gardner Matthieu Muffato Mateus Patricio Konstantinos Billis Fergal J Martin Paul Flicek Bent Petersen Lin Kang Pawel Michalak Thomas R Buckley Melissa Wilson Yuanyuan Cheng Hilary Miller Ryan K Schott Melissa D Jordan Richard D Newcomb José Ignacio Arroyo Nicole Valenzuela Tim A Hore Jaime Renart Valentina Peona Claire R Peart Vera M Warmuth Lu Zeng R Daniel Kortschak Joy M Raison Valeria Velásquez Zapata Zhiqiang Wu Didac Santesmasses Marco Mariotti Roderic Guigó Shawn M Rupp Victoria G Twort Nicolas Dussex Helen Taylor Hideaki Abe Donna M Bond James M Paterson Daniel G Mulcahy Vanessa L Gonzalez Charles G Barbieri Dustin P DeMeo Stephan Pabinger Tracey Van Stijn Shannon Clarke Oliver Ryder Scott V Edwards Steven L Salzberg Lindsay Anderson Nicola Nelson Clive Stone Department of Anatomy University of Otago Dunedin New Zealand. neil.gemmell@otago.ac.nz. Department of Anatomy University of Otago Dunedin New Zealand. LOEWE-Center for Translational Biodiversity Genomics Senckenberg Museum Frankfurt Germany. South African National Biodiversity Institute National Zoological Garden Pretoria South Africa. School of Life Sciences Arizona State University Tempe AZ USA. School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA. School of Fundamental Sciences Massey University Palmerston North New Zealand. Peralta Genomics Institute Oakland CA USA. School of Biological Sciences The University of Adelaide Adelaide South Australia Australia. Department of Ecology and Genetics - Evolutionary Biology Evolutionary Biology Centre (EBC) Uppsala University Uppsala Sweden. Department of Organismal Biology - Systematic Biology Evolutionary Biology Centre (EBC) Uppsala University Uppsala Sweden. Evolutionary Biology Unit South Australian Museum Adelaide South Australia Australia. Amedes Genetics Amedes Medizinische Dienstleistungen Berlin Germany. Museum für Naturkunde Berlin Leibniz-Institut für Evolutions- und Biodiversitätsforschung an der Humboldt-Universität zu Berlin Berlin Germany. Department of Earth Sciences Montana State University Bozeman MT USA. Department of Biochemistry University of Otago Dunedin New Zealand. European Molecular Biology Laboratory European Bioinformatics Institute Hinxton UK. Section for Evolutionary Genomics The GLOBE Institute Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark. Edward Via College of Osteopathic Medicine Blacksburg VA USA. Center for One Health Research Virginia-Maryland College of Veterinary Medicine Blacksburg VA USA. Institute of Evolution University of Haifa Haifa Israel. Manaaki Whenua - Landcare Research Auckland New Zealand. School of Biological Sciences The University of Auckland Auckland New Z

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Correction to: Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)

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Standards in genomic sciences 2018年第1期13卷 17页

作者： Dagmar Waltemath Frank T Bergmann Claudine Chaouiya Tobias Czauderna Padraig Gleeson Carole Goble Martin Golebiewski Michael Hucka Nick Juty Olga Krebs Nicolas Le Novère Huaiyu Mi Ion I Moraru Chris J Myers David Nickerson Brett G Olivier Nicolas Rodriguez Falk Schreiber Lucian Smith Fengkai Zhang Eric Bonnet 1Department of Systems Biology and Bioinformatics University of Rostock Rostock Germany. 2Department of Computing and Mathematical Sciences California Institute of Technology Pasadena CA USA. 4Instituto Gulbenkian de Ciência - IGC Rua da Quinta Grande Oeiras Portugal. 3IPK Gatersleben Gatersleben Germany. 5Department of Neuroscience Physiology and Pharmacology University College London London UK. 6School of Computer Science The University of Manchester Manchester UK. 7Heidelberg Institute for Theoretical Studies Heidelberg Germany. 8EMBL-European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge UK. 14The Babraham Institute Babraham Research Campus Cambridge UK. 9Department of preventive medicine Keck School of Medicine University of Southern California Los Angeles CA USA. 10Center for Cell Analysis and Modeling University of Connecticut Health Center Farmington CT USA. 11Department of Electrical and Computer Engineering University of Utah Salt Lake City USA. 12Auckland Bioengineering Institute University of Auckland Auckland New Zealand. 13Systems Bioinformatics VU University Amsterdam Amsterdam The Netherlands. 15Martin Luther University Halle-Wittenberg Halle Germany. 16Monash University Melbourne Australia. Computational Biology Unit Laboratory of Systems Biology National Institute of Allergy and Infectious Diseases NIH Bethesda MD USA. 18Institut Curie Paris France. INSERM U900 75248 Paris France. 20Mines ParisTech 77300 Fontainebleau Paris France.

[This corrects the article DOI: 10.4056/sigs.5279417.].

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Speed control of a separately-excited DC motor powered by photovoltaic energy 6

Speed control of a separately-excited DC motor powered by ph...

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2015 6th International Renewable Energy Congress, IREC 2015

作者： Jeddi, Nafaa Ouasli, Nada El Amroui Ouni, Lilia Tadeo, Fernando Research Unit Signals and Mecatronic Systems Higher School of Technology and Computer Sciences University of Carthage Tunisia Department of Systems Engineering and Automatic Industrial Engineering School University of Valladolid Spain

ISBN: (纸本)9781479979479

The work presented in this paper concerns the speed control of a Separately Excited Direct current Motor (SEDM) by use of a Maximum Power Point Tracking (MPPT) strategy applied to a Boost DC-DC converter. A PV generator is used for energy supply. The use of conventional PI controller for speed regulation is due to low steady-state error, low costs, fast control and simple structure. The MPPT is implemented by using Perturb and Observe (P&O) algorithm. The elaborated control strategy is validated for different solar insolation and speed levels, when the boost output voltage is fixed. © 2015 IEEE.

关键词： Buck-Boost converter

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Targeted metabolomics and medication classification data from participants in the ADNI1 cohort

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Scientific Data 2017年第1期4卷 1-11页

作者： St John-Williams, Lisa Blach, Colette Toledo, Jon B. Rotroff, Daniel M. Kim, Sungeun Klavins, Kristaps Baillie, Rebecca Han, Xianlin Mahmoudiandehkordi, Siamak Jack, John Massaro, Tyler J. Lucas, Joseph E. Louie, Gregory Motsinger-Reif, Alison A. Risacher, Shannon L. Saykin, Andrew J. Kastenmüller, Gabi Arnold, Matthias Koal, Therese Moseley, M. Arthur Mangravite, Lara M. Peters, Mette A. Tenenbaum, Jessica D. Thompson, J. Will Kaddurah-Daouk, Rima Proteomics and Metabolomics Shared Resource Center for Genomic and Computational Biology Duke University Durham 27710 NC United States Duke Molecular Physiology Institute Duke University Durham 27701 NC United States Department of Pathology and Laboratory Medicine University of Pennsylvania Philadelphia 19104 PA United States Department of Neurology Houston Methodist Hospital Houston 77030 TX United States Bioinformatics Research Center Department of Statistics North Carolina State University Raleigh 27607 NC United States Department of Radiology and Imaging Sciences and the Indiana Alzheimer Disease Center Indiana University School of Medicine Indianapolis 46202 IN United States Department of Electrical and Computer Engineering State University of New York Oswego 13126 NY United States BIOCRATES Life Sciences AG Innsbruck 6020 Austria Rosa and Co LLC San Carlos 94070 CA United States Sanford Burnham Prebys Medical Discovery Institute Orlando 32827 FL United States Department of Psychiatry and Behavioral Sciences Duke Institute for Brain Sciences Duke University Durham 27710 NC United States Duke Social Sciences Research Institute Duke University Durham 27708 NC United States Institute of Bioinformatics and Systems Biology Helmholtz Zentrum Mönchen German Research Center for Environmental Health Neuherberg D-85764 Germany German Center for Diabetes Research Neuherberg D-85764 Germany Sage Bionetworks Seattle 98109 WA United States Department of Biostatistics and Bioinformatics Duke University Durham 27710 NC United States

Alzheimer's disease (AD) is the most common neurodegenerative disease presenting major health and economic challenges that continue to grow. Mechanisms of disease are poorly understood but significant data point to metabolic defects that might contribute to disease pathogenesis. The Alzheimer Disease Metabolomics Consortium (ADMC) in partnership with Alzheimer Disease Neuroimaging Initiative (ADNI) is creating a comprehensive biochemical database for AD. Using targeted and non-targeted metabolomics and lipidomics platforms we are mapping metabolic pathway and network failures across the trajectory of disease. In this report we present quantitative metabolomics data generated on serum from 199 control, 356 mild cognitive impairment and 175 AD subjects enrolled in ADNI1 using AbsoluteIDQ-p180 platform, along with the pipeline for data preprocessing and medication classification for confound correction. The dataset presented here is the first of eight metabolomics datasets being generated for broad biochemical investigation of the AD metabolome. We expect that these collective metabolomics datasets will provide valuable resources for researchers to identify novel molecular mechanisms contributing to AD pathogenesis and disease phenotypes. © The Author(s) 2017.

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Creation and analysis of biochemical constraint-based models: The COBRA Toolbox v3.0

arXiv

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arXiv 2017年

作者： Heirendt, Laurent Arreckx, Sylvain Pfau, Thomas Mendoza, Sebastián N. Richelle, Anne Heinken, Almut Haraldsdóttir, Hulda S. Wachowiak, Jacek Keating, Sarah M. Vlasov, Vanja Magnusdóttir, Stefania Ng, Chiam Yu Preciat, German Žagare, Alise Chan, Siu H.J. Aurich, Maike K. Clancy, Catherine M. Modamio, Jennifer Sauls, John T. Noronha, Alberto Bordbar, Aarash Cousins, Benjamin El Assal, Diana C. Valcarcel, Luis V. Apaolaza, Iñigo Ghaderi, Susan Ahookhosh, Masoud Guebila, Marouen Ben Kostromins, Andrejs Sompairac, Nicolas Le, Hoai M. Ma, Ding Sun, Yuekai Wang, Lin Yurkovich, James T. Oliveira, Miguel A.P. Vuong, Phan T. El Assal, Lemmer P. Kuperstein, Inna Zinovyev, Andrei Scott Hinton, H. Bryant, William A. Aragón Artacho, Francisco J. Planes, Francisco J. Stalidzans, Egils Maass, Alejandro Vempala, Santosh Hucka, Michael Saunders, Michael A. Maranas, Costas D. Lewis, Nathan E. Sauter, Thomas Palsson, Bernhard Ø. Thiele, Ines Fleming, Ronan M.T. Luxembourg Centre for Systems Biomedicine University of Luxembourg 6 avenue du Swing BelvauxL-4367 Luxembourg Life Sciences Research Unit University of Luxembourg 6 avenue du Swing BelvauxL-4367 Luxembourg University of Chile Blanco Encalada 2085 Santiago Chile Department of Pediatrics University of California San Diego School of Medicine San DiegoCA92093 United States Hinxton CambridgeCB10 1SD United Kingdom Department of Chemical Engineering Pennsylvania State University University University ParkPA16802 United States Department of Physics University of California San Diego 9500 Gilman Dr. San DiegoCA92093 United States Bioinformatics and Systems Biology Program University of California San Diego San DiegoCA United States Sinopia Biosciences San DiegoCA United States School of Computer Science Algorithms and Randomness Center Georgia Institute of Technology AtlantaGA United States Biomedical Engineering and Sciences Department TECNUN University of Navarra Paseo de Manuel Lardizabal 13 San Sebastian20018 Spain Institute of Microbiology and Biotechnology University of Latvia Jelgavas iela 1 RigaLV-1004 Latvia Department of Management Science and Engineering Stanford University StanfordCA94305-4026 United States Bioengineering Department University of California San Diego San DiegoCA United States Utah State University Research Foundation 1695 North Research Park Way North LoganUT84341 United States Centre for Integrative Systems Biology and Bioinformatics Department of Life Sciences Imperial College London London United Kingdom Department of Mathematics University of Alicante Spain California Institute of Technology Computing and Mathematical Sciences MC 305-16 1200 E. California Blvd. PasadenaCA91125 United States Mathomics Center for Mathematical Modeling University of Chile Beauchef 851 Santiago Chile Novo Nordisk Foundation Center for Biosustainability University of California San Diego San DiegoCA92093 Uni

COnstraint-Based Reconstruction and Analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive software suite of interoperable COBRA methods. It has found widespread applications in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. Version 3.0 includes new methods for quality controlled reconstruction, modelling, topological analysis, strain and experimental design, network visualisation as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimisation solvers for multi-scale, multi-cellular and reaction kinetic modelling, respectively. This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios. This protocol is an update to the COBRA Toolbox 1.0 and 2.0. The COBRA Toolbox 3.0 provides an unparalleled depth of constraint-based reconstruction and analysis methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Data integration

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