Genomic and Geographic Analysis of the Evolution and Spread of Infectious

Disease

Daniel Janies, Ph.D.Department of Biomedical informaticsOhio State University Medical Center

Daniel.Janies@osumc.edu

We are synthesizing large diverse

datasets on the evolution and spread

of infectious diseases.

We presentthe results

in an easy to usevisual geographic

interface.

A phylogenetic hypothesis is evaluated by the total number of mutations it implies. The tree that implies the fewest mutations is said to be optimal for a particular dataset.

AACCC

GACTC

ACCCC

AACTC

AACTC

AACTG

GACTC

GACTC GACTC

CACTC

CACTC

pos 2 A to C

pos 4 T to C

pos 1 A to Gpos 5 C to G

pos 1 G to C

tree score = 5

sequence

mutation

Parallel Efficiency

Indonesia Korea and Japan

Outreach: Users can make their own maps phylogenetic maps at supramap.osu.edu

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Supramap Architecture:

Ruby on Rails clientWeb Service: JBoss 4, Hibernate

MySQL databaseMafft Muscle Clustalw2 alignment codes

RAXML tree search codePOY direct optimization code

Now Beowulf Cluster, Next Large Cluster, Grid, BOINC…

Acknowledgments

Department of Biomedical Informatics, OSU College of Medicine

and The Mathematical Biosciences Institute

Diego Pol, Farhat Habib, Travis Treseder, and Boyan Alexandrov -

Ohio State University

Ward Wheeler - American Museum of Natural History

Andrew Hill, Rob Guralnick, University of Colorado

DARPA, NSF, NIH-NIAIDDaniel.Janies@osumc.edu