For the current REF see the REF 2021 website REF 2021 logo

Output details

15 - General Engineering

University of Glasgow

Return to search Previous output Next output
Output 34 of 285 in the submission
Article title

Accurate determination of microbial diversity from 454 pyrosequencing data

Type
D - Journal article
Title of journal
Nature Methods
Article number
-
Volume number
6
Issue number
9
First page of article
639
ISSN of journal
1548-7091
Year of publication
2009
URL
-
Number of additional authors
7
Additional information

High throughput sequencing technologies are used routinely in academia and industry to profile microbial communities with broad applications across many fields including medicine, food and environmental engineering. This paper shows that errors in interpreting the signal from the sequencing machines has meant that estimates of microbial diversity are hugely inflated. We have developed an algorithm to correct these errors which now sits at the heart of most commercial and academic bioinformatics software for microbial community analysis (e.g. Mothur and Qiime). This paper has been instrumental in Quince receiving an EPSRC Career Advancement Fellowship (£833k).

Interdisciplinary
Yes
Cross-referral requested
-
Research group
B - Infrastructure & Environment
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-