Output details
11 - Computer Science and Informatics
University of Exeter
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Output 0 of 0 in the submission
Article title
A Burkholderia pseudomallei protein microarray reveals serodiagnostic and cross-reactive antigens
Type
D - Journal article
Title of journal
Proceedings of the National Academy of Sciences
Article number
-
Volume number
106
Issue number
32
First page of article
13499
ISSN of journal
1091-6490
Year of publication
2009
URL
-
Number of additional authors
20
Additional information
<28> Burkholderia pseudomallei is a severe disease in southeast Asia. I collaborated with colleagues to model multiple data of this disease including sequencing data and microarray data and helped to analyse the results. I designed and implemented the methodology to analyse the bioinformatics data, providing results for the paper. I contributed to the writing of the paper. The paper has drawn significant attention since publication, and others have carried out work in different species to validate the model we introduced.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
70
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-