Reach Us +441414719275
Deconvolving Taxonomic Contributions To Observed Differences In The Microbiome Of COPD Patient Groups | 9332
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
Open Access

Like us on:

OMICS International 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)

International Conference on Integrative Biology Summit

Cavan Reilly
ScientificTracks Abstracts: J Comput Sci Syst Biol
DOI: 10.4172/0974-7230.S1.002
While recent years have seen the development of tools for the analysis of microbiomic datasets generated using pyrosequencing of the small 16S ribosomal subunit of bacteria, there do not exist rigorous statistical methods for determining the relative contribution of various levels of taxonomic classification to observed differences in the microbiome of patients. Using existing tools (e.g. the edgeR package in R) one can test for differences between the quantity of a given species between patient groups, but there are no tools that allow a researcher to test for differences between species, genera, families, orders, classes and phyla simultaneously in a rigorous manner. The simple approach of testing for a difference between 2 phyla by grouping all species within those phyla into 2 groups and testing for a difference between the 2 groups is incorrect unless one accounts for measurements coming from the same subject in some fashion. We have developed a method that allows one to conduct such an analysis by using a negative binomial random effects model for the species level counts with random effects hierarchically grouped into the various taxonomical levels. The method also allows for variance regularization. A Bayesian approach to inference is adopted and Markov chain Monte Carlo is used to obtain parameter estimates and identify differences among the patient groups at all taxonomic levels. We applied the method to a data set arising from pyrosequencing of bronchio-alveolar lavage fluid from 22 COPD patients and 10 controls. The analysis identified differences at multiple taxonomic levels.
Cavan Reilly received his Ph.D from Columbia University in 2000 and became an Assistant Professor at the University of Minnesota the same year. In 2007 he was promoted to Associate Professor at the same institution. He has published over 50 peer reviewed articles covering many topics at the intersection of statistics, molecular biology and clinical medicine and has authored a textbook on this topic.
image PDF   |   image HTML

Relevant Topics

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Business & Management Journals


[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version