Performance of methods to detect genetic variants from bisulphite sequencing data in a non‐model species

Lindner, M. orcid.org/0000-0003-2931-265X, Gawehns, F., te Molder, S. et al. (3 more authors) (2022) Performance of methods to detect genetic variants from bisulphite sequencing data in a non‐model species. Molecular Ecology Resources, 22 (2). pp. 834-846. ISSN 1755-098X

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. http://creativecommons.org/licenses/by-nc/4.0/

Keywords: DNA methylation; great tit (Parus major); single nucleotide polymorphism; whole-genome sequencing; Animals; Female; High-Throughput Nucleotide Sequencing; Polymorphism, Single Nucleotide; Sequence Analysis, DNA; Songbirds; Sulfites; Whole Genome Sequencing
Dates:
  • Published: February 2022
  • Published (online): 6 September 2021
  • Accepted: 20 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 24 Sep 2024 14:48
Last Modified: 24 Sep 2024 14:48
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/1755-0998.13493
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics