Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

MiCA: web-based computational tools for the analysis of microbial community structure and composition based on T-RFLP of 16S rRNA genes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Shyu, C. ; IBEST, Idaho Univ., Moscow, ID, USA ; Foster, J.A. ; Liao, K.X. ; Bent, S.J.
more authors

Analyses of microbial community structure based on terminal restriction fragment length polymorphisms (T-RFLP) of 16S rRNA genes are hindered by the lack of computational tools needed to aid experimental design, and to archive and analyze large data sets. The aim of this research was to develop a suite of Web-based tools that would enable researchers to perform several tasks, including: (a) in silico PCR amplification and restriction of 16S rRNA gene sequences found in public databases; (b) automatic retrieval of data and archival storage in an Oracle relational database; (c) comparison of multiple T-RFLP profiles obtained from a single sample using different primer-enzyme combinations; and (d) statistical analysis of T-RFLP data and clustering of samples based on similarities and differences.

Published in:

Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society

Date of Conference:

2002