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Challenges in using transcriptome data to study the c-di-GMP signaling network in Pseudomonas aeruginosa clinical isolates.

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Title: Challenges in using transcriptome data to study the c-di-GMP signaling network in Pseudomonas aeruginosa clinical isolates.
Authors: Gür, Melisa1 (AUTHOR), Erdmann, Jelena1 (AUTHOR), Will, Anke1 (AUTHOR), Liang, Ziwei2 (AUTHOR), Andersen, Jens Bo2 (AUTHOR), Tolker-Nielsen, Tim2 (AUTHOR), Häussler, Susanne1,3,4 (AUTHOR) susanne.haeussler@helmholtz-hzi.de
Source: FEMS Microbes. 2023, Vol. 4, p1-10. 10p.
Database: Academic Search Ultimate
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An: 174452666
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  Data: Challenges in using transcriptome data to study the c-di-GMP signaling network in Pseudomonas aeruginosa clinical isolates.
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  Data: <searchLink fieldCode="JN" term="%22FEMS+Microbes%22">FEMS Microbes</searchLink>. 2023, Vol. 4, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174452666
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        Value: 10.1093/femsmc/xtad012
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Challenges in using transcriptome data to study the c-di-GMP signaling network in Pseudomonas aeruginosa clinical isolates.
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          Name:
            NameFull: Gür, Melisa
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            NameFull: Erdmann, Jelena
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            NameFull: Will, Anke
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            NameFull: Liang, Ziwei
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            NameFull: Andersen, Jens Bo
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            NameFull: Tolker-Nielsen, Tim
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            NameFull: Häussler, Susanne
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            – D: 01
              M: 01
              Text: 2023
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              Y: 2023
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