Title :
Graphical Models and Inference on Graphs in Genomics: Challenges of high-throughput data analysis
Author :
Shamaiah, Manohar ; Lee, Sang Hyun ; Vikalo, Haris
Abstract :
Recent technological advances in high-throughput molecular screening and DNA sequencing have enabled acquisition of enormous amounts of biological data that may provide critical information about the functionality of cells and organisms [1], help reveal mechanisms of genetic diseases and disorders [2], improve the efficiency of the drug discovery process [3], and enable development of diagnostic techniques and therapies [4]. Novel sequencing methods allow fast and affordable deciphering of individual genomes and thus enable studies of genetic variations and the effects they have on human health and medical treatments.
Keywords :
DNA; cellular biophysics; diseases; drugs; genomics; graphs; medical disorders; microorganisms; molecular biophysics; patient diagnosis; patient treatment; DNA sequencing; biological data; cells; diagnostic technique; drug discovery process; genetic disease; genetic disorders; genetic variation; genomics; graphical model; high-throughput molecular screening; human health; medical treatment; organisms; Biological cells; Cancer; Cells (biology); DNA; Diseases; Genomics; Medical diagnosis; Molecular biophysics; Proteomics;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2011.943012
