Peeling back the layers of coral holobiont multi-omics data.

Biological sciences Natural sciences Omics

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
15 Sep 2023
Historique:
received: 20 04 2023
revised: 09 06 2023
accepted: 10 08 2023
medline: 11 9 2023
pubmed: 11 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

The integration of multiple 'omics' datasets is a promising avenue for answering many important and challenging questions in biology, particularly those relating to complex ecological systems. Although multi-omics was developed using data from model organisms with significant prior knowledge and resources, its application to non-model organisms, such as coral holobionts, is less clear-cut. We explore, in the emerging rice coral model

Identifiants

pubmed: 37694134
doi: 10.1016/j.isci.2023.107623
pii: S2589-0042(23)01700-5
pmc: PMC10482995
doi:

Types de publication

Journal Article

Langues

eng

Pagination

107623

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Amanda Williams (A)

Microbial Biology Graduate Program, Rutgers University, New Brunswick, NJ 08901, USA.
Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA.

Timothy G Stephens (TG)

Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA.

Alexander Shumaker (A)

Microbial Biology Graduate Program, Rutgers University, New Brunswick, NJ 08901, USA.
Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA.

Debashish Bhattacharya (D)

Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ 08901, USA.

Classifications MeSH