Table of Contents
Biophysics/Biol E-101 = HST 508
Bio 101: Genomics & Computational Biology
Intro 1: Today's story, logic & goals
101
acgt
Atoms tRNA
Bits
Discrete vs. Continuous
Why Model?
Which models will we search, merge & check in this course?
Intro 1: Today's story, logic & goals
Elements
Minimal self-replicating units
Why Perl & Mathmatica?
Facts of Life 101
Conceptual connections
Transistors > inverters > registers > binary adders > compilers > application programs
Self-compiling & self-assembling
Minimal Life: Self-assembly, Catalysis, Replication, Mutation, Selection
Replicator diversity
Maximal Life:
Rorschach Test
Growth & decay
What limits exponential growth?
Solving differential equations
Exponential technologies
Intro 1: Today's story, logic & goals
Inherited Mutations & Graphs
Directed Graphs
System models Feature attractions
Intro 1: Today's story, logic & goals
Types of Systems Interaction Models
How to do single DNA molecule manipulations?
One DNA molecule per cell
Most RNAs < 1 molecule per cell.
Mean, variance, & linear correlation coefficient
Mutations happen
Binomial frequency distribution as a function of X Î {int 0 ... n}
Poisson frequency distribution as a function of X Î {int 0 ...¥}
Normal frequency distribution as a function of X Î {-¥... ¥}
One DNA molecule per cell
What are random numbers good for?
Where do random numbers come from?
Where do random numbers come from really?
Mutations happen
Intro 1: Today's story, logic & goals
END Sep 18, 2001
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Author: George Church
Home Page: http://www.courses.fas.harvard.edu/~bphys101/
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