Mathematical Models: A Central Organizing Tool for Integrative Biology Drew Tyre School of Natural Resources.

Slides:



Advertisements
Similar presentations
Overarching Goal: Understand that computer models require the merging of mathematics and science. 1.Understand how computational reasoning can be infused.
Advertisements

Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. CHAPTER 1.
A view of life Chapter 1. Properties of Life Living organisms: – are composed of cells – are complex and ordered – respond to their environment – can.
Computational biology and computational biologists Tandy Warnow, UT-Austin Department of Computer Sciences Institute for Cellular and Molecular Biology.
Funding Networks Abdullah Sevincer University of Nevada, Reno Department of Computer Science & Engineering.
April “ Despite the increasing importance of mathematics to the progress of our economy and society, enrollment in mathematics programs has been.
Beginning the Research Design
Using Bioinformatics to Make the Bio- Math Connection The Confessions of a Biology Teacher.
Genetic Algorithms Learning Machines for knowledge discovery.
Advertisement: Possible independent work or project EOS: Economics via Object-oriented Simulation An open-source project devoted to the highly structured.
1 Welcome to Biol 178 Principles of Biology Course goals Course information Text Grading Syllabus Lab Chapter Organization.
1.3 Ten themes unify the study of life
Two Dimensions and Beyond From: “ A New Kind of Science” by Stephen Wolfram Presented By: Hridesh Rajan.
Lecture 1 Introduction to Biology
AP Biology Study of Life Chapter 1 Themes.
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
The Science of Life Biology unifies much of natural science
Biogeography Chapter 1.
The Science of Biology Chapter 1. 2 Disclaimer This workforce solution was funded by a grant awarded under the President’s Community-Based Job Training.
Cookies, Spreadsheets, and Modeling: Dynamic, Interactive, Visual Science and Math Scott A. Sinex Prince George’s Community College Presented at Network.
Large-scale organization of metabolic networks Jeong et al. CS 466 Saurabh Sinha.
BIOLOGY – EXPLORING LIFE
KEY CONCEPT Science is a way of thinking, questioning, and gathering evidence.
Gregor Johann Mendel Studied peas in his monastry garden Kept careful records of all procedures and findings “controlled” pollination between plants with.
TEA Science Workshop #3 October 1, 2012 Kim Lott Utah State University.
Everyone is a Biologist ! Today: Four Questions What are the Characteristics of Life? How diverse is life? How do we study the natural world? Who are.
Topic 1 Introduction to the Study of Life 1.1 The Unifying Characteristics of Life Biology 1001 September 9, 2005.
AP Biology Study of Life Themes AP Biology Themes  Science as a process of inquiry  questioning & investigation  Evolution  Energy transfer  Continuity.
 SC235: Unit 1 Seminar Is it Biotic?. Course Overview  Term: Feb. 2 nd – April 12 th  Course site  Doc sharing  Webliography  Drop box  Communication:
Chapter 10 Principles of Evolution
Studying Life Vodcast 1.3 Unit 1: Introduction to Biology.
Four Big Ideas Big Idea 1: the process of evolution drives the diversity and unity of life. Big Idea 2: biological systems utilize free energy and molecular.
Modeling Complex Dynamic Systems with StarLogo in the Supercomputing Challenge
Genetics and Speciation
The Science of Biology Chapter The Diversity of Life Archaea Bacteria ProtistaFungiPlantaeAnimalia Taxonomists classify organisms into 6 Kingdoms.
The Structure, Function, and Evolution of Vascular Systems Instructor: Van Savage Spring 2010 Quarter 3/30/2010.
1 What is Life? – Living organisms: – are composed of cells – are complex and ordered – respond to their environment – can grow and reproduce – obtain.
Science is the study of nature’s rules.. We can’t control Earth’s motion, but we have learned the rules by which it moves. The study of nature’s rules.
Why Evolution Doesn’t Work. And Why Creation Does Work.
1.3 Scientific Thinking and Processes KEY CONCEPT Science is a way of thinking, questioning, and gathering evidence.
Big Ideas in Biology Unit 1. What are the Big Ideas? They are unifying concepts found in all science – biology, chemistry, earth science, physics These.
1.4 Biologists’ Tools and Technology TEKS 2F, 3E The student is expected to: 2F collect and organize qualitative and quantitative data and make measurements.
Introduction to Earth Science Section 2 Section 2: Science as a Process Preview Key Ideas Behavior of Natural Systems Scientific Methods Scientific Measurements.
Neural Networks and Machine Learning Applications CSC 563 Prof. Mohamed Batouche Computer Science Department CCIS – King Saud University Riyadh, Saudi.
Nothing in Biology Makes Sense Except in the Light of Evolution - Theodosius Dobzhansky.
Spatial ABM H-E Interactions, Lecture 4 Dawn Parker, George Mason University Notes on Grimm and Railsback Chapter 1, “Individual-based modeling and ecology”
Semantic Object Language By: Jason Wells Semantic Research Inc. /sol_whitepaper.pdf Presented By:
Themes of Biology. Biology 1.1 Themes of Biology  Everyday, you are surrounded by living things that scientists call organisms. Some organisms; such.
DEVELOPING AND USING MODELS IN SCIENCE
Evolution Webquest Created by Trina Mitchell Summer 2010.
MA354 Math Modeling Introduction. Outline A. Three Course Objectives 1. Model literacy: understanding a typical model description 2. Model Analysis 3.
BSC 2010 Chapter 1. Defining Biology Science of living organisms Science-From Greek “to know” –Body of knowledge –Method of inquiry.
1 Guess the Covered Word Goal 1 EOC Review 2 Scientific Method A process that guides the search for answers to a question.
Organic Evolution and Problem Solving Je-Gun Joung.
Natural Sciences Juan Carlos Sikaffy Description In science, natural science is the study of the universe and the rules or laws of natural order. The.
The Problem of Pattern and Scale in Ecology - Summary What did this paper do that made it a citation classic? 1.It summarized a large body of work on spatial.
What is Biology? Biology Cycles The Scientific Method.
PreAp Biology Study of Life Themes & Concepts. PreAp Biology Age of Earth  About 4.5 bya  Life about 4 bya (Prokaryotes)  Photosynthesis about 2.7.
LECTURE 1: Theory of evolution 1.Evolution is the scientific idea of the gradual development of the various types of plants, animals etc from fewer a simple.
10. Natural Selection  Essential Question: How does the evidence of geology, fossils, and comparative anatomy support the theory of evolution?  Learning.
Models.
The Science of Biology Chapter 1.
Introduction to Biology
Study of Life Chapter 1 Themes
The Science of Biology Chapter 1.
AP Biology Study of Life Themes
CHAPTER 1 INTRODUCTION: TEN THEMES IN THE STUDY OF LIFE
The Science of Biology Chapter 1.
The Science of Biology Chapter 1.
Diversity of Life Reading Reflection #5
Presentation transcript:

Mathematical Models: A Central Organizing Tool for Integrative Biology Drew Tyre School of Natural Resources

Outline Why What Examples Strengths and Gaps at UNL?

GENOMICS Murky associations Am. J. Hum. Genet. (2009) Genome-wide association studies have been hailed for their ability to find genetic variations that may contribute to disease risk. But assigning meaning to these variations is more difficult. Just collect more data …

Doesn’t always work Data don’t say very much – Schizophrenia, height Data are “indirect” – Remote sensed spectra are not species ID or richness Or hard to get – Population size of grassland birds "The combination of some data and an aching desire for an answer does not ensure that a reasonable answer an be extracted from a given body of data." - John Tukey.

We have a theory! Evolution by Natural Selection (Darwin 1859) – And all that came in the next 150 years … Too general – Doesn’t make predictions in specific cases Theory Data Models

The preferred average dimensions for a male model are a height of 5 ft 11 in (1.80 m) to 6 ft 2 in (1.88 m), a waist of 26–33 in (66.04–83.82 cm) and a chest measurement of 32–40 in (81.28– cm).

Merriam-Webster – 12 meanings! 11 : a description or analogy used to help visualize something (as an atom) that cannot be directly observed 12 : a system of postulates, data, and inferences presented as a mathematical description of an entity or state of affairs; also : a computer simulation based on such a system

A theoretical scheme for the control of hormone balance Penfield S, King J Proc. R. Soc. B 2009;276: ©2009 by The Royal Society

M Thomson & J Gunawardena Nature 000, 1-4 (2009) doi: /nature08102 General model of multisite phosphorylation with substrate S having n sites, kinase E and phosphatase F.

Ticks on Lizards

Key Features Explicit assumptions, leading to … Specific predictions “All models are wrong; some are useful.” -George Box

…trial and error … can be costly. …developed a method to predict …

From the following article: The large-scale organization of metabolic networks H. Jeong, B. Tombor, R. Albert, Z. N. Oltvai and A.-L. Barabási Nature 407, (5 October 2000)

Simple rules yield complex food webs Richard J. Williams and Neo D. Martinez Nature 404, (9 March 2000) UK Grassland Food web “To make progress, different fields have suppressed certain complications while highlighting others.” – Steven Strogatz

Systems Biology Examples from all levels of biological hierarchy Best/most data from the lowest levels Need for improved mathematical models at all levels “Elegant mathematics does not overcome biological ignorance, but only compounds it.” -John Pastor

Math Biology at UNL Strong program in Population Biology & Individual Behavior & Life History – Math in the Middle Optimisation of oligonucleotides for DNA synthesis Others?

Gaps? Math at the extremes – Genomics – Ecosystems – Lots of data! Optimisation – Practical – Evolutionary connections

"The greatest challenge today, not just in cell biology and ecology but in all of science, is the accurate and complete description of complex systems. Scientists have broken down many kinds of systems. They think they know most of the elements and forces. The next task is to reassemble them, at least in mathematical models that capture the key properties of the entire ensembles.“ – E.O. Wilson Consilience.