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Extracting information from gene coexpression networks of Rhizobium leguminosarum

Abstract:

Nitrogen uptake in legumes is facilitated by bacteria such as Rhizobium leguminosarum. For this bacterium, gene expression data are available, but functional gene annotation is less well developed than for other model organisms. More annotations could lead to a better understanding of the pathways for growth, plant colonization, and nitrogen fixation in R. leguminosarum. In this study, we present a pipeline that combines novel scores from gene coexpression network analysis in a principled way...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1089/cmb.2021.0600

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/K032402/1
Publisher:
Mary Ann Liebert
Journal:
Journal of Computational Biology More from this journal
Volume:
29
Issue:
7
Pages:
752-768
Publication date:
2022-05-19
Acceptance date:
2022-03-02
DOI:
EISSN:
1557-8666
ISSN:
1066-5277
Language:
English
Keywords:
Pubs id:
1242826
Local pid:
pubs:1242826
Deposit date:
2022-03-09

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