Mathematics and the Genome
PPT Slide
Biology’s dilemma: There is too much to know about living things
Some important model organisms
Let’s find out everything about some species
Some genome sizes
Sequencing Genomes
How rough is the draft of the human genome?
Where to store all these data?
What’s in the databases?
First mathematical challenge: Sequencing large genomes
You have sequenced your genome - what do you do with it?
How the genome controls the organism
Where are the genes?
Hidden Markov Models for gene finding (caricature)
Hidden Markov Models for gene finding - the real picture
A big mathematical challenge
What did the Hidden Markov Models find?
So we know the genes - do we know everything?
From genes to proteins
Protein structure prediction
Prediction of gene function
Prediction of gene function: homology searches
Prediction of important sites in proteins
How to predict binding sites from sequence data:
Using genomic data for reconstruction of phylogenies
Methods for reconstruction of phylogenies
Reconstruction of phylogenies: A success story
Gene interactions: Collecting gene expression data
Gene interactions: Interpeting gene expression data
Interpeting gene expression data: A mathematical challenge
Gene expression profiles: A success story
The databases of the future
Email: just@math.ohiou.edu
Home Page: http://www.math.ohiou.edu/~just
Download presentation source