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Author Notes:

Correspondence to May D. Wang, PhD, Biomedical Engineering Department, Georgia Institute of Technology, Emory University, 313 Ferst Dr, UA Whitaker Bldg, Suite 4106, Atlanta, GA 30332. E-mail maywang@bme.gatech.edu

Conflict of Interest Disclosures: None

Subjects:

Research Funding:

This work was supported in part by grants from the National Institutes of Health (National Heart, Lung, and Blood Institute 5U01HL080711, U54CA119338, and 1RC2CA148265), the Georgia Cancer Coalition (Distinguished Cancer Scholar Award to Dr Wang), the Children’s Healthcare of Atlanta, Microsoft Research, and the Hewlett-Packard Company.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Cardiac & Cardiovascular Systems
  • Genetics & Heredity
  • Cardiovascular System & Cardiology
  • biomarkers
  • chromatin immunoprecipitation
  • computational biology
  • epigenomics
  • gene expression profiling
  • high-throughput nucleotide sequencing
  • transcriptome
  • RNA-SEQ DATA
  • DIFFERENTIAL EXPRESSION ANALYSIS
  • SHORT READ ALIGNMENT
  • CHIP-SEQ
  • GENE-EXPRESSION
  • STATISTICAL-METHODS
  • COUNT DATA
  • GENOME
  • TOOL
  • IDENTIFICATION

Cardiovascular Transcriptomics and Epigenomics Using Next-Generation Sequencing Challenges, Progress, and Opportunities

Tools:

Journal Title:

Circulation: Cardiovascular Genetics

Volume:

Volume 7, Number 5

Publisher:

, Pages 701-710

Type of Work:

Article | Post-print: After Peer Review

Copyright information:

© 2014 American Heart Association, Inc.

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