Development of epigenetic biomarkers for the identification of sex and thermal stress in fish using DNA methylation analysis and machine learning procedures

Development of epigenetic biomarkers for the identification of sex and thermal stress in fish using DNA methylation analysis and machine learning procedures

18 pages, 5 figures, 1 table, supporting information https://doi.org/10.1111/1755-0998.13725.-- Open research Badges: Open Data. This article has earned an Open Data Badge for making publicly available the digitally-shareable data necessary to reproduce the reported results. Raw sequence reads are deposited in NCBI (BioProject: PRJNA549930, SRA: SRP202005). Data sets are available at GEO: GSE133088.-- Data Availability Statement: Raw sequence reads are deposited in NCBI (BioProject: PRJNA549930, SRA: SRP202005). Data sets are available at GEO: GSE133088

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Bibliographic Details
Main Authors: Valdivieso, Alejandro, Anastasiadi, Dafni, Ribas, Laia, Piferrer, Francesc
Other Authors: Ministerio de Economía y Competitividad (España)
Format: artículo biblioteca
Language:English
Published: John Wiley & Sons 2023-02
Subjects:Climate change, DNA methylation, Essential epigenetic marks, Machine learning, Sex differentiation, Temperature, Conserve and sustainably use the oceans, seas and marine resources for sustainable development,
Online Access:http://hdl.handle.net/10261/295889
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http://hdl.handle.net/10261/295889

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