Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity

Supreeta Vijayakumar; Claudio Angione

doi:10.1007/978-3-319-56148-6_19

Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity

Supreeta Vijayakumar, Claudio Angione

School of Computing, Engineering & Digital Technologies

Research output: Contribution to conference › Paper › peer-review

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Original language	English
DOIs	https://doi.org/10.1007/978-3-319-56148-6_19
Publication status	Published - Apr 2017
Event	5th International Work-Conference on Bioinformatics and Biomedical Engineering - Granada, Spain Duration: 26 Apr 2017 → 28 Apr 2017

Conference

Conference	5th International Work-Conference on Bioinformatics and Biomedical Engineering
Abbreviated title	IWBBIO 2017
Country/Territory	Spain
City	Granada
Period	26/04/17 → 28/04/17

Access to Document

10.1007/978-3-319-56148-6_19

PublicationFinal published version, 745 KB

Cite this

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title = "Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity",

author = "Supreeta Vijayakumar and Claudio Angione",

year = "2017",

month = apr,

doi = "10.1007/978-3-319-56148-6\_19",

language = "English",

note = "5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017 ; Conference date: 26-04-2017 Through 28-04-2017",

}

TY - CONF

T1 - Multi-omic data integration elucidates Synechococcus adaptation mechanisms to fluctuations in light intensity and salinity

AU - Vijayakumar, Supreeta

AU - Angione, Claudio

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U2 - 10.1007/978-3-319-56148-6_19

DO - 10.1007/978-3-319-56148-6_19

M3 - Paper

T2 - 5th International Work-Conference on Bioinformatics and Biomedical Engineering

Y2 - 26 April 2017 through 28 April 2017

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