alexa

GET THE APP

Targeted Analytic Methods For Deep Sequencing | 12185
ISSN: 2155-952X

Journal of Biotechnology & Biomaterials
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Recommended Conferences

2nd International Conference on Biotechnology and Healthcare

Auckland, New Zealand

6th International Conference on Vaccines and Immunology

Geneva, Switzerland

3rd European Congress on Virology

Geneva, Switzerland
Google scholar citation report
Citations : 1536

Journal of Biotechnology & Biomaterials received 1536 citations as per google scholar report

Indexed In
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Open J Gate
  • Genamics JournalSeek
  • Academic Keys
  • ResearchBible
  • China National Knowledge Infrastructure (CNKI)
  • Access to Global Online Research in Agriculture (AGORA)
  • Electronic Journals Library
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • SWB online catalog
  • Virtual Library of Biology (vifabio)
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
Share This Page

Targeted analytic methods for deep sequencing

4th World Congress on Biotechnology

Jimmy T. Efird

ScientificTracks Abstracts: J Biotechnol Biomater

DOI: 10.4172/2155-952X.S1.023

Abstract
While genome-wide association studies (GWAS) have been marginally successful at identifing high risk SNPs for cancer, further deep sequencing efforts are needed. This presentation discusses novel analytic approaches for optimizing search strategy and reducing false positive findings. Validation techniques also will be discussed in the context of independent multicentric approaches.
Biography
Jimmy Efird is an Associate Member of the Leo Jenkins Cancer at Brody School of Medicine. Additionally, he holds a joint appointment as Associate Professor in the Department of Public Health and as Epidemiologist/Chief Statistician (Director, Shared Resources) in the Center for Health Disparities. Efird received his Ph.D. from Stanford University (Epidemiology with a concentration in Biostatistics). His expertise includes statistical methods for assessing gene-environment interaction, clinical trial design, computing power and sample size for correlated samples, and multiplicity adjustment for confidence intervals. He has over 100 publications in scientific journals and technical proceedings. Additionally, Efird serves as a Senior Consultant for The NCRR-funded RCMI Translational Research Network Data and Technology Coordinating Center.
Top