AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data

Watson, C.M. orcid.org/0000-0003-2371-1844, Lascelles, C., Raynor, M. et al. (9 more authors) (2025) AgileMultiIdeogram: Rapid Identification and Visualization of Autozygous Regions Using Illumina Short-Read Sequencing Data. Biology, 14 (6). 666. ISSN 2079-7737

Abstract

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Item Type: Article
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© 2025 by the authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: rare recessive disease; next-generation sequencing; autozygosity mapping
Dates:
  • Accepted: 31 May 2025
  • Published (online): 9 June 2025
  • Published: 9 June 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Opthalmology and Neurosciences (Leeds)
Funding Information:
Funder
Grant number
Jules Thorn Charitable Trust
NOT GIVEN
MRC (Medical Research Council)
MR/K011154/1
Depositing User: Symplectic Publications
Date Deposited: 25 Jun 2025 15:36
Last Modified: 25 Jun 2025 15:36
Status: Published
Publisher: MDPI
Identification Number: 10.3390/biology14060666
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
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