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Mathematical Biology: more books (100)

Stochastic Models of Tumor Latency and Their Biostatistical Applications (Mathematical Biology and Medicine, Vol 1) by A. Yu Yakovlev, A. D. Tsodikov, 1996-06
The Theory of the Chemostat: Dynamics of Microbial Competition (Cambridge Studies in Mathematical Biology) by Hal L. Smith, Paul Waltman, 2008-06-26
Foundations of Mathematical Biology (v. 2)
Mathematical and Statistical Methods for Genetic Analysis by Kenneth Lange, 2002-03-28
Niche Modeling: Predictions from Statistical Distributions (Chapman & Hall/CRC Mathematical & Computational Biology) by David Stockwell, 2006-12-15
The Ten Most Wanted Solutions in Protein Bioinformatics (Chapman & Hall/CRC Mathematical & Computational Biology) by Anna Tramontano, 2005-05-24
Biomolecular Simulations (Chapman & Hall/CRC Mathematical & Computational Biology) by Jordi Villa i Freixa, Michael A. Johnston, 2010-10-30
An Introduction to Mathematical Physiology and Biology (Cambridge Studies in Mathematical Biology) by J. Mazumdar, 1999-10-13
Mathematical Models Molecular Cellular Biology by Segel, 1984-04-27
Mathematical Modelling of Immune Response in Infectious Diseases (Mathematics and Its Applications) by Guri I. Marchuk, 2010-11-02
Mathematical Methods of Population Biology (Cambridge Studies in Mathematical Biology) by Frank C. Hoppensteadt, 1982-02-26
Mathematical Biology (Ias/Park City Mathematics Series) by Mark A. J. Chaplain, James P. Keener, et all 2009-03-01
Frontiers in Mathematical Biology (Lecture Notes in Biomathematics, Vol 1)
Modeling Biology: Structures, Behaviors, Evolution (Vienna Series in Theoretical Biology)

lists with details

Phi, Fibonacci, Phyllotaxis...
An hypothesis concerning the photomorphogenic origin of the exhibition of fibonacci numbers in plants.
http://janusteam.org/

Extractions: Welcome to the janus team website This article is published online for the first time on Sunday, November 10, 2002 counting spirals...and stuff phi in the sky...is this how Fibonacci numbers got into the DNA? summing up...it's a hypothesis, right not every 5 is a Fibonacci 5 ...the campanula story new page a series of connexions... ...or is it the other way round? the blackberry... different faces of oppositeness new page c larification by color...? and 17th century poppy seeds close can be good enough...often new page new page 26/02/03 blackberry flowers...more oppositeness...and uncertainty cyberflowers ...irrational symmetries ...what would he think of this phyllotactic fraction business...
Mathematical Biology Definition Of Mathematical Biology In The Free Online Encyc
mathematical biology math ə mad ə kəl bī′ l ə jē (biology) A discipline that encompasses all applications of mathematics, computer technology, and
http://encyclopedia2.thefreedictionary.com/Mathematical biology
Mathematical Biology - Math.umn.edu
Gilad Lerman lerman@math.umn.edu Assistant Professor , Ph.D. 2000 Yale University computational harmonic analysis, analysis of large data sets and statistical learning
http://www.math.umn.edu/grad/areas/math_bio.html
Welcome To MathematicalBiology.com!
Welcome to MathematicalBiology.com! MathematicalBiology.com is an web resource for Academics, Researchers, Publishers and Sponsors in Mathematical Biology.
http://mathematicalbiology.com/

Extractions: Search: Welcome to MathematicalBiology.com! MathematicalBiology.com is an web resource for Academics, Researchers, Publishers and Sponsors in Mathematical Biology. The main purpose of this site is to collect information and links related to research and teaching in all Mathematical Problems of Biology, that our visitors could use in their business. Web-directory covers a wide Scientific and Organisational scopes and also the problems related to the mathematical modelling of main mechanisms of processes taking place on different organization levels in biosystems. The Site also links to projects that take into account the mathematical problems that inevitably arise in complex systems, including technical hierarchical system like Autonomous Intelligent Agents, Optimal Control approaches in Systems Biology. Getting information from our Directory gives you the flexibility and growth security for your own research. Researchers Browse through our site and find links to Publishers, Researches, Manufacturers and Software Resources that suit your needs, then return to our site to rate the resource. It's a great way to vote on the best sites!
Research - Applied Math - U.Washington
For more information, please see the Mathematical Biology page. Atmospheric sciences and climate modeling Researchers Bretherton, Tung, Durran
http://www.amath.washington.edu/research/

Extractions: Autumn 2010 Instructors Research Research Highlights Research Topics News ... Courses AMATH Courses Time Schedule / enrollment Degree Programs Postgraduate programs Undergraduate programs It is possible to apply mathematics to almost any field of human endeavor. Here are some of the fields we're working on now. Many practical problems in science and engineering cannot be solved completely by analytical means. Research in the area of numerical analysis and scientific computation is concerned with the development and analysis of numerical algorithms, the implementation of these algorithms on modern computer architectures, and the use of numerical methods in conjunction with mathematical modeling to solve large-scale practical problems. Major research areas in this department include computational fluid dynamics (CFD), interface and front tracking methods, iterative methods in numerical linear algebra, and algorithms for parallel computers.
Forensic Mathematics
DNA identification, biostatistics, and recreational aspects of population genetics. Reports, software, links.
http://dna-view.com/
SITUATED COMPLEXITY By Dorothy Wallace
Anyone with a little exposure to the ideas of calculus can use this volume as a primer leading to the research literature in mathematical biology or as a standalone introduction
http://mathematicalbiology.net/

Extractions: Professor Wallace invites you to join her Dartmouth College students in learning some of the ways in which mathematics informs, predicts, and ultimately helps to solve problems in the biological and medical sciences. SITUATED COMPLEXITY , a new text by Dr. Wallace, offers a guide to modeling biological phenomena using systems of ordinary differential equations. Anyone with a little exposure to the ideas of calculus can use this volume as a primer leading to the research literature in mathematical biology or as a stand-alone introduction to modeling complex systems. Modeling is our way of putting our understanding of science and medicine into a mathematical form. Only in this form can his knowledge be used to make the quantitative predictions about the future that form a basis for scientific or social action. Therefore models make the most sense when constructed with respect to a particular problem. Biological, and especially medical, problems occur in a rich context of ecological, social, cultural and geographic factors. These factors may be irrelevant or crucial, depending on the nature of the problem under consideration. SITUATED COMPLEXITY focuses on issues taken from the context of Sub-Saharan Africa, in particular the region around Lake Victoria in East Africa. Medical and ecological issues in this region are pressing and difficult to resolve, as well as being complex in cultural, biological and mathematical ways.
Mathematical Biology
List of researchers in CAMS working on problems related to Mathematical Biology Booth, Bose, Bukiet, Dhar, Elmer, Georgieva, Goldman, Golowasch, Khan, Lott, Matveev, Miura
http://m.njit.edu/CAMS/Research/Biomath/biomath.html

Extractions: List of researchers in CAMS working on problems related to Mathematical Biology: Booth, Bose Bukiet Dhar Elmer , Georgieva, Goldman Golowasch Khan , Lott, Matveev Miura Muratov Nadim ... Yoo In the area of Developmental Biology, Cyrill Muratov is interested in developing models that describe the patterning events leading to the formation of dorsal appendages during Drosophila egg development. He studies a system of coupled reaction-diffusion equations driven by a localized input and characterizes the oocyte phenotype by the number of peaks in the signaling pattern. Dan Goldman and Sheldon Wang use techniques of fluid dynamics to study various biological phenomenon. The research of Dan Goldman is centered on developing a flexible, efficient and highly realistic computational model for simulating microvascular blood flow and oxygen delivery. His model has been used to study both steady-state and time-dependent oxygen delivery, which is of primary interest for understanding physiological functioning. Current studies use this model to understand blood flow and oxygen transport during sepsis at the onset of exercise. Sheldon Wang is developing new immersed boundary/continuum methods which will provide a platform for effective modeling of highly deformable shells/beams and solids immersed in biological fluids. These methods will facilitate further research in multi-scale and multi-physics coupling of complex fluid-solid systems with microscopic models. Chris Raymond is interested in mathematical modeling for immunocolloid labeling. In this process, colloidal metal particles are conjugated to ligand molecules which bind to the molecule of interest, commonly a receptor molecule on a cell surface. With experimental and mathematical collaborators, he is developing mathematical models for the immunocolloid labeling process with the goal of optimizing the choice of experimentally adjustable parameters to maximize labeling efficiency.
Algorithms In Molecular Biology - Ron Shamir - Course Archive
Lecture notes in PostScript format by Ron Shamir, Tel-Aviv.
http://www.math.tau.ac.il/~rshamir/algmb.html

Extractions: This archive contains material of the course "Algorithms for Molecular Biology", taught by Ron Shamir (in Fall 94 and Fall 95 together with Dalit Naor , in Fall 98-99 and Fall 00-01 with Itsik Pe'er and in Fall 01-02 with Roded Sharan ), in the School of Computer Science at Tel Aviv University. This is a one-semester graduate course with one three-hour meeting each week. Note: The two lecture notes of '95 and '99 have only minor overlap. The '95 lecture notes are more theoretically oriented (more proofs, hardness results) and the '99 lecture notes are much more applied. The choice of topics is also quite different. The 99 and 01 sets are more overlapping (about 70%). The main difference between the 01 and 02 sets is that gene expression analysis (which now has a separate whole course ) is given less coverage, and linkage analysis was added. For material covered in more than one set, the most recent version is recommended. Note: I am now giving an additional, new advanced course
UTK Mathematical Life Sciences Archives WWW Server - Home Page
Life Science Pages organized by E. Dobos, L. Gross and C. Zimmermann at the University of Tennessee.
http://archives.math.utk.edu/mathbio/

Extractions: This collection of Life Science Pages has been organized by E. Dobos, L. Gross and C. Zimmermann at the University of Tennessee, Knoxville, with support from National Science Foundation Undergraduate Course and Curriculum Program through Grant #USE-9150354. Please reference this grant if you copy any appreciable portion of these pages. More complete information on this project is at Quantitative Life Sciences. Statistics
Mathematical Biology
Mathematical Biology It has been over a decade since the release of the now classic original edition of Murray's Mathematical Biology. Since then mathematical biology has grown
http://www.springer.com/mathematics/mathematical biology/book/978-0-387-95223-9

Extractions: Basket USA Change New User Login Subjects Services About us Company Information Mission Statement Management Annual Reports Key Facts ... Locations Worldwide What we do Publishing Fields Springer and Open Access Springer in China Developing Countries Initiative Press Press Releases Springer Select Media Kit and Downloads Career All Job Vacancies Trainee-Programs / Editorial Trainees Internships Vocational Training There are no results matching your search terms.
WAM - Web Antibody Modeling
Constructs a model from the light and heavy chain sequences.
http://antibody.bath.ac.uk/

Extractions: Home Background Submit! WAMpredict ... CPAD home Please note the server will be running unattended from 21st August to 6th September Any queries please contact Tony Rees anthony.rees@miptechnologies.com Welcome to the home page of WAM - Web Antibody Modelling , the Centre for Protein Analysis and Design at the University of Bath's sophisticated online facility, based on the AbM package (formerly marketed by Oxford Molecular) to construct 3D models of antibody Fv sequences using a combination of established theoretical methods together with the latest antibody structural information. Last updated 21/10/02
Mathematical And Theoretical Biology: Definition From Answers.com
A discipline that encompasses all applications of mathematics, computer technology, and quantitative theorizing to biological systems, and the underlying processes within the
http://www.answers.com/topic/mathematical-biology
The Ordination Web Page
Methods for analysis of community data in ecological studies, including correspondence analysis, direct gradient analysis, and indirect gradient analysis.
http://ordination.okstate.edu

Extractions: OSU ECOLOGY Ordination Methods for Ecologists JUMP TO: OVERVIEW Ordination Topics Ordination Software Links Ordination Glossary ... OSU Botany Ordination is a widely-used family of methods which attempts to reveal the relationships between ecological communities. For definitions, go HERE This ordination web page is designed to address some of the most frequently asked questions about ordination. It is my intention to gear this page towards the student and the practitioner rather than the ordination specialist, so please contact me if the jargon is unintelligible! The ecological literature is filled with papers describing, contrasting, and modifying existing ordination techniques. Then why is an ordination web page needed? My main motivation is based upon the following observation: many of us, when we start to use ordination methods, make the same simple mistakes. If we are good scientists, we will learn from our own mistakes. But wouldn't it save a lot of time if we could also learn from other people's mistakes? It turns out that there are a number of frequently asked questions concerning ordination, as well as a number of "tricks of the trade" and "rules of thumb". It is probably not worthwhile filling the pages of our scientific journals with such rules; many of them are quite trivial. However, the Web, which is easy to update, modify, and rearrange, is an ideal forum for presenting such ideas.
Welcome To The CMB Website | Mathematical Institute - University Of Oxford
The Centre for Mathematical Biology (CMB) at the University of Oxford is part of the Mathematical Institute and was established in 1983 as the first centre of its kind in Britain.
http://www.maths.ox.ac.uk/cmb

Extractions: Mathematical Biology The Centre for Mathematical Biology (CMB) at the University of Oxford is part of the Mathematical Institute and was established in 1983 as the first centre of its kind in Britain. Under the directorship of Professor James D. Murray , FRS, it was designed specifically to foster interdisciplinary research in the area. Since 1992, the CMB has been under the leadership of Professor Philip K. Maini . In 2005, Dr Ruth E. Baker was appointed the RCUK Fellow in Mathematical Biology and in 2006, Dr Eamonn Gaffney was appointed as the new University Lecturer in Mathematical Biology. The CMB is closely linked to the new Oxford Centre for Integrative Systems Biology and details of positions there and graduate places may be found at:- Please follow the links in the navigation panel to find out more about us (specifically about applying for graduate places to the CMB through Mathematics). Last updated by Keith A. Gillow
Dr Paul Watton's Homepage
Cardiovasular biomechanics. Mathematical modelling of abdominal aortic aneurysms and heart valves.
http://www.peaktutors.pwp.blueyonder.co.uk/paulwatton/

Extractions: Dr Paul Watton BSc MSc PhD Paul.Watton@eng.ox.ac.uk Qualifications PhD Applied Mathematics, University of Leeds, 2002 MSc Mathematical Logic and Foundations of Computer Science, University of Manchester, 1997 BSc Mathematics (First Class Honours), University of Newcastle, 1994 'Best Poster in Cardiovascular Mechanics', ASME Bioengineering Conference 2001, Snowbird, Salt Lake City, Utah, USA. Rev. Gilbert Robinson Prize (3rd Year BSc Mathematics Prize) Kotecha Prize for Statistics (1st Year BSc Mathematics Prize)
Jungck, John R.
Beloit College, WI. Specializes in mathematical molecular evolution, history and philosophy of biology, and science education reform.
http://beloit.edu/~jungck/
CiteULike: Mathematical Biology: I. An Introduction (Interdisciplinary Applied M
by JD Murray Cited by 6554 - Related articles
http://www.citeulike.org/user/MarcHafner/article/819739

Extractions: CiteULike MarcHafner's CiteULike Search Register Log in CiteULike is a free online bibliography manager. Register and you can start organising your references online. Tags by: James D. Murray RIS Export as RIS which can be imported into most citation managers BibTeX Export as BibTeX which can be imported into most citation/bibliography managers PDF Export formatted citations as PDF RTF Export formatted citations as RTF which can be imported into most word processors Delicious Export in format suitable for direct import into delicious.com. Setup a permanent sync to delicious) Formatted Text Export formatted citations as plain text To insert individual citation into a bibliography in a word-processor, select your preferred citation style below and drag-and-drop it into the document.
Alan Hastings UC Davis
Department of Environmental Science and Policy, University of California Davis, CA, USA. Theoretical ecology and population biology.
http://two.ucdavis.edu/~me/amh.html

Extractions: I am a Professor in the Department of Environmental Science and Policy and I am also a member of the Center for Population Biology . I completed my Ph.D. in Applied Mathematics at Cornell University in 1977 under the supervision of Simon A. Levin and have been at UC Davis (located in beautiful Davis, California ) since 1979. My textbook, Population Biology: Concepts and Models, was published in January 1997. On the ESP 121 web page there is the syllabus of the course I teach based on the book. I am the Editor in Chief of a journal (with first volume published in 2008) published by Springer Theoretical Ecology . To submit a paper
Differential Equations: Differential Equations In Biology, Applications Of Diffe
applications of differential equations, mathematical biology, biological problems One application is population dynamics, details can be found in the
http://en.allexperts.com/q/Differential-Equations-2078/Differential-equations-Bi

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