| dc.contributor.author | Layton, Kara | |
| dc.contributor.author | Bradbury, IR | |
| dc.date.accessioned | 2022-11-08T00:09:08Z | |
| dc.date.available | 2022-11-08T00:09:08Z | |
| dc.date.issued | 2022-06-01 | |
| dc.identifier.citation | Layton , K & Bradbury , IR 2022 , ' Harnessing the power of multi-omics data for predicting climate change response ' , Journal of Animal Ecology , vol. 91 , no. 6 , pp. 1064-1072 . https://doi.org/10.1111/1365-2656.13619 | en |
| dc.identifier.issn | 0021-8790 | |
| dc.identifier.other | PURE: 202285478 | |
| dc.identifier.other | PURE UUID: bcab39bd-99b2-46ab-8dd9-2c47149a81ea | |
| dc.identifier.other | ORCID: /0000-0002-4302-3048/work/102536969 | |
| dc.identifier.other | SCOPUS: 85118882447 | |
| dc.identifier.other | Scopus: 85118882447 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19475 | |
| dc.description | Acknowledgements We thank two anonymous reviewers for their helpful revisionary suggestions on earlier versions of this manuscript. | en |
| dc.format.extent | 9 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Animal Ecology | en |
| dc.rights | This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | en |
| dc.subject | SDG 13 - Climate Action | en |
| dc.subject | forecasting | en |
| dc.subject | genomic offset | en |
| dc.subject | structural variation | en |
| dc.subject | epigenetic variation | en |
| dc.subject | panmixia | en |
| dc.subject | QH301 Biology | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | QH301 | en |
| dc.title | Harnessing the power of multi-omics data for predicting climate change response | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Postprint | en |
| dc.identifier.doi | https://doi.org/10.1111/1365-2656.13619 | |
| dc.date.embargoedUntil | 2022-11-08 | |
| dc.identifier.vol | 91 | en |
| dc.identifier.iss | 6 | en |
