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Title: Network MotifsStatisticalgraph theoretic analyses of complex biological systems


1
Network MotifsStatistical/graph theoretic
analyses of complex biological systems
  • Stephen Harnish
  • Professor of Mathematics
  • Bluffton University
  • harnishs_at_bluffton.edu
  • September 29, 2006
  • For links and documents http//www.bluffton.edu/m
    at/seminar/

2
Network Resources
  • Mathematics Awareness Month Poster 2004
  • http//www.mathaware.org/mam/04/2_HIV_risk.html
  • Network motifs
  • Milo, R. Itzkovitz, S. Kashtan, N. et. al.
    Science (2004).
  • Milo, R. Shen-Orr, S. Itzkovitz, S. Kashtan, N.
    et. al. Science (2002).
  • Shen-Orr, S., Milo, R., Mangan, S. Alon, U. Nat
    Genet (2002).
  • Mangan, S. et. al. JMB (2003), PNAS (2003).
  • www.weizmann.ac.il/mcb/UriAlon
  • Computational tools
  • Mdraw http//www.weizmann.ac.il/mcb/UriAlon/grou
    pNetworkMotifSW.html
  • MAVisto http//mavisto.ipk-gatersleben.de/

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A social network of sexual contactsRedrawn from
the HIV data of J. J. Potterat et al, "Risk
network Structure in the early epidemic phase of
HIV transmission in Colorado Springs," Sexually
Transmitted Infections, 78 (2002). Pp. i159-i163.
From poster for Mathematics Awareness Month
April, 2004
5
  • Friendship network of children in a U. S. school,
  • courtesy of James Moody.

6
A visualization of the network structure of the
Internet by Hal Burch and Bill Cheswick, courtesy
of Lumeta Corporation.
7
http//curriculum.calstatela.edu/courses/builders/
lessons/less/biomes/desert/hot-desert-chain.html
8
http//www.chesapeakebay.net/info/ecoint6a.cfm
9
http//www.calacademy.org/calwild/2003winter/stori
es/horizons.htmlA food web of predator-prey
interactions between species in a freshwater
lake, picture courtesy of Richard Williams and
Neo Martinez. Ecological Monographs, 61 (1991),
pp. 367-392.
10
http//www.itk.ca/environment/tek-ecological-foodw
eb-image.php
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Small-world networks
M. E. J. Newman at Ann Arbor
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Other Graph Theoretic/Statistical Analyses of
Networks
  • Small World phenomenaoften referred to as
    six-degrees of separation
  • Two degrees of separation in complex food
    websWilliams, et. al. Oct. 1, 2002
  • www.pnas.org/cgl/dol/10.1073/pnas.192448799

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Two degrees of separation in complex food
websWilliams, et. al. Oct. 1, 2002 www.pnas.org/
cgl/dol/10.1073/pnas.192448799
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Network Motifs
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Abstract
  • Network motifs have emerged in recent years as
    key tools for the analysis of networks from
    fields as diverse as gene transcription, neuron
    connectivity, ecosystem food-chains, electronic
    circuitry and the structure of the World Wide
    Web.  
  • These motifs are generally small (e.g., 3-node
    or 4-node) subgraphs which occur more frequently
    in naturally occurring networks than in
    randomized ones. 
  • Some scientists assume they are the
    fundamental, functional (as well as structural)
    building-blocks of most complex hierarchical
    systems. 
  • To introduce this topic we will employ
    computational software (MAVisto mfinder) to
    analyze motifs in ecological food chains and E.
    Coli gene transcription networks.

18
University of Cape Town
Jameson Hall
19
Drs. George and Mary Ellis
20
George and Mary Ellis
Kirstenbosch Botanical Gardens
21
Bisimulations and Pictures of SetsA survey of
hyperset theories, their key modeling tools, and
applications to computer science
  • FACS Lab Seminar
  • Prof Stephen Harnish, Visiting Researcher
  • Prof. of Mathematics, Bluffton University,
    Ohio, USA
  • harnishs_at_bluffton.edu
  • Wednesday 5 April 2006, 15h30, M 111 (Seminar
    Room)
  • Abstract
  • ZFC provides a standard, robust foundation for
    modeling mathematics and its applications. Yet,
    some systems studied by computer scientists are
    most naturally modeled by self-referential sets
    with cyclic- and other infinite-element chains
    that are prohibited by ZFCs axiom of foundation.
    In recent decades the properties and applications
    of various non-well-founded (NWF) set theories
    have been developed by logicians such as Aczel,
    Scott, Finsler, Barwise and Moss. I will review
    the properties of these sets, explain one key
    modeling tool (the solution lemma), and describe
    several areas of application for computer
    science, situation theory, and linguistics.

22
Structures of sets, graphs networks
23
Searching for building blocks and design
principles in the genetic regulatory network of
E. coli
  • Ron Milo
  • Uri Alon Group
  • Weizmann Institute, Israel
  • November 2004
  • Mathematical Biosciences InstituteOSU

24
  • R. Milos Definition
  • Network motifs are recurring patterns that occur
    significantly more often than in randomized nets
  • Note
  • There are many possible distinct subgraphs

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The 13 three-node connected subgraphs
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199 4-node directed connected subgraphs
The count grows quickly 9364 5-node subgraphs
1,530,843 6-node subgraphs
27
To Find Network Motifs
  • Generate a suitable random ensemble (reference
    networks)
  • Network motif detection process
  • Count how many times each subgraph appears
  • Compute statistical significance for each
    subgraph probability of appearing in random as
    much as in real network
  • (P-value or Z-score)

28
Ensemble of networks
Real 5 Rand 0.5 0.6
Z-score (Standard Deviations) 7.5
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Hierarchical Motif Structure
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Hierarchical Motif Structure
University of Michigan CSCSOctober 13, 2006
Emergence in Physical, Biological, and Social
Systems
34
Two Tools
  • Mdraw
  • (Milo, et. al. at Weizmann)
  • handles large networks wellsome special
    interface features
  • MAVisto
  • http//mavisto.ipk-gatersleben.de/
  • (Java Web Start required)
  • good graphical interface

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mDrawc. Elegans neural net
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ICES Journal of Marine Science
38
Hermanus--Land-based whale watching
39
http//www.brest.ird.fr/personnel/ppenven/publicat
ions/these/index.html
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Ecosystem structures of the South African Cape
45
Predator-Prey Relations
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http//www.intarttiles.com/robertekennedy.htm
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African Penguins at Boulders Beach
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Cape Gannet
  • http//www.stock-photography.co.za/stock-photograp
    hy-gannet-flying.htm

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Robben Island
  • Where Nelson Mandela was a prisoner for 27 years

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Critique Network Motif Analysis
  • Important issues
  • What is the best model for this application?
  • Do motifs play specific functional roles in the
    networks?
  • Do similar kinds of networks have similar motif
    profiles?

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http//complex.upf.es/montoya/research.html
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http//cse.pdx.edu/forest/model_computer.htm
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http//oregonstate.edu/instruct/fw465/sampson/anch
ovy/anchovy09.htm
65
Common Motifs
66
Other motifs
67
Triad (3 node) subgraph significance profile
Different Subgraphs
68
Network Resources
  • Mathematics Awareness Month Poster 2004
  • http//www.mathaware.org/mam/04/2_HIV_risk.html
  • Network motifs
  • Milo, R. Itzkovitz, S. Kashtan, N. et. al.
    Science (2004).
  • Milo, R. Shen-Orr, S. Itzkovitz, S. Kashtan, N.
    et. al. Science (2002).
  • Shen-Orr, S., Milo, R., Mangan, S. Alon, U. Nat
    Genet (2002).
  • Mangan, S. et. al. JMB (2003), PNAS (2003).
  • www.weizmann.ac.il/mcb/UriAlon
  • Computational tools
  • Mdraw http//www.weizmann.ac.il/mcb/UriAlon/grou
    pNetworkMotifSW.html
  • MAVisto http//mavisto.ipk-gatersleben.de/

69
Network MotifsStatistical/graph theoretic
analyses of complex biological systems
  • Stephen Harnish
  • Professor of Mathematics
  • Bluffton University
  • harnishs_at_bluffton.edu
  • September 29, 2006
  • For links and documents http//www.bluffton.edu/m
    at/seminar/

70
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