Computationally predicted gene regulatory networks in molluscan biomineralization identify extracellular matrix production and ion transportation pathways

Acknowledgements We would like to thank Prof Peter Kille for constructive comments on this work. Funding This work was supported by the Natural Environment Research Council Core Funding to the British Antarctic Survey, a DTG Studentship (Project Reference: NE/J500173/1) to V.A.S. and a Junior Resear...

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Bibliographic Details
Published in:Bioinformatics
Main Authors: Sleight, Victoria A, Antczak, Philipp, Falciani, Francesco, Clark, Melody S
Other Authors: University of Aberdeen.Biological Sciences
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
CLAM
DIFFERENTIAL EXPRESSION
EVOLUTION
IDENTIFICATION
KEY MACROMOLECULE
LAYER
MANTLE TRANSCRIPTOME
PROTEIN
Extracellular Matrix
Biomineralization
Ions
Gene Expression Profiling
Gene Regulatory Networks
QH301 Biology
Computational Mathematics
Molecular Biology
Biochemistry
Statistics and Probability
Computer Science Applications
Computational Theory and Mathematics
Natural Environment Research Council (NERC)
NE/J500173/1
QH301
Antarc*
Antarctic
British Antarctic Survey
Online Access:https://hdl.handle.net/2164/14648
https://doi.org/10.1093/bioinformatics/btz754
http://www.scopus.com/inward/record.url?scp=85081755972&partnerID=8YFLogxK
Description
Summary:Acknowledgements We would like to thank Prof Peter Kille for constructive comments on this work. Funding This work was supported by the Natural Environment Research Council Core Funding to the British Antarctic Survey, a DTG Studentship (Project Reference: NE/J500173/1) to V.A.S. and a Junior Research Fellowship to V.A.S from Wolfson College, University of Cambridge. Conflict of Interest: none declared. Peer reviewed

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