Graphical models and inference on graphs in genomics: Challenges of high-throughput data analysis

Manohar Shamaiah, Sang Hyun Lee, Haris Vikalo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Article number6105453
Pages (from-to)51-65
Number of pages15
JournalIEEE Signal Processing Magazine
Volume29
Issue number1
DOIs
Publication statusPublished - 2012 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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