Biophysics/Biol E-101 = HST 508

9/18/01


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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

Author: George Church

Home Page: http://www.courses.fas.harvard.edu/~bphys101/