Publication

Statistics for next generation sequencing - Meeting report

Downloadable Content

Persistent URL
Last modified
  • 03/05/2025
Type of Material
Authors
    Hao Wu, Emory UniversityMichael C. Wu, University of North Carolina at Chapel HillDegui Zhi, University of Alabama at BirminghamStephanie A. Santorico, University of Colorado at DenverXiangqin Cui, University of Alabama at Birmingham
Language
  • English
Date
  • 2012-07-13
Publisher
  • Frontiers Media
Publication Version
Copyright Statement
  • © 2012 Wu, Wu, Zhi, Santorico and Cui.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1664-8021
Volume
  • 2012
Start Page
  • 128
End Page
  • 128
Grant/Funding Information
  • The conference is supported by NHGRI grant HG005792.
Abstract
  • The boom of next generation sequencing (NGS) technology and its applications to a wide range of biomedical fields has brought about many computational and statistical challenges. The NHGRI funded small conference “Statistical Analysis for NGS” was held September 26th–27th 2011 in Birmingham, AL, USA, to discuss these statistical challenges and strategies to tackle them. Below, we detail the major themes of the conference.
Author Notes
Research Categories
  • Biology, Biostatistics
  • Mathematics
  • Biology, Bioinformatics

Tools

Relations

In Collection:

Items

Thumbnail Title File Description Date Uploaded Visibility Actions
file details Publication File - s5h8s.pdf Primary Content 2025-03-04 Public Download