The document discusses pharmacogenomics and the challenges of analyzing large amounts of genomic data to develop personalized medications. It proposes speeding up analysis and reducing power consumption by implementing parallelized computations on field-programmable gate arrays (FPGAs). Contact information is provided for Letizia Clementi, Matteo Crespi, and Claudio Scandella.

1. Letizia Clementi
Matteo Crespi
Claudio Scandella
clementi.letizia@hotmail.it
matteo3.crespi@mail.polimi.it
claudio.scandella@outlook.it

2. THE PROBLEM
Fig.: http://www.genesisgenome.com/genesis-pgxone-plus.html#
2

3. THE PROBLEM
Fig.: http://www.genesisgenome.com/genesis-pgxone-plus.html#
2

4. THE PROBLEM
Fig.: http://www.genesisgenome.com/genesis-pgxone-plus.html#
2

5. CNV
Everyone has a unique DNA
affect directly drug metabolism
Copy Number Variations
3

6. PHARMACOGENOMICS
Detecting them makes
possible
to develop
ad hoc medications
4

7. 5
Huge amount
of data
HOWEVER…

8. 5
Huge amount
of data
High power
consumption
HOWEVER…

9. 5
Huge amount
of data
High power
consumption
Extremely long
time
of analysis
HOWEVER…

10. A SOLUTION 6
Speed up through parallelization
and
Power consumption optimization
Through hardware
implementation on
FPGA

11. https://www.facebook.com/rescueatNECST/?fref=ts
https://www.slideshare.net/ResCUEatNECST
https://twitter.com/ResCUEatNECST