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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Main Authors: | Valdivieso, Alejandro, Anastasiadi, Dafni, Ribas, Laia, Piferrer, Francesc |
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Other Authors: | Ministerio de Economía y Competitividad (España) |
Format: | artículo biblioteca |
Language: | English |
Published: |
John Wiley & Sons
2023-02
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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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