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Acorn: an R package for de novo variant analysis

BACKGROUND: The study of de novo variation is important for assessing biological characteristics of new variation and for studies related to human phenotypes. Software programs exist to call de novo variants and programs also exist to test the burden of these variants in genomic regions; however, I...

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Autor principal: Turner, Tychele N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475174/
https://www.ncbi.nlm.nih.gov/pubmed/37660114
http://dx.doi.org/10.1186/s12859-023-05457-z
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author Turner, Tychele N.
author_facet Turner, Tychele N.
author_sort Turner, Tychele N.
collection PubMed
description BACKGROUND: The study of de novo variation is important for assessing biological characteristics of new variation and for studies related to human phenotypes. Software programs exist to call de novo variants and programs also exist to test the burden of these variants in genomic regions; however, I am unaware of a program that fits in between these two aspects of de novo variant assessment. This intermediate space is important for assessing the quality of de novo variants and to understand the characteristics of the callsets. For this reason, I developed an R package called acorn. RESULTS: Acorn is an R package that examines various features of de novo variants including subsetting the data by individual(s), variant type, or genomic region; calculating features including variant change counts, variant lengths, and presence/absence at CpG sites; and characteristics of parental age in relation to de novo variant counts. CONCLUSIONS: Acorn is an R package that fills a critical gap in assessing de novo variants and will be of benefit to many investigators studying de novo variation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05457-z.
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spelling pubmed-104751742023-09-04 Acorn: an R package for de novo variant analysis Turner, Tychele N. BMC Bioinformatics Software BACKGROUND: The study of de novo variation is important for assessing biological characteristics of new variation and for studies related to human phenotypes. Software programs exist to call de novo variants and programs also exist to test the burden of these variants in genomic regions; however, I am unaware of a program that fits in between these two aspects of de novo variant assessment. This intermediate space is important for assessing the quality of de novo variants and to understand the characteristics of the callsets. For this reason, I developed an R package called acorn. RESULTS: Acorn is an R package that examines various features of de novo variants including subsetting the data by individual(s), variant type, or genomic region; calculating features including variant change counts, variant lengths, and presence/absence at CpG sites; and characteristics of parental age in relation to de novo variant counts. CONCLUSIONS: Acorn is an R package that fills a critical gap in assessing de novo variants and will be of benefit to many investigators studying de novo variation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05457-z. BioMed Central 2023-09-02 /pmc/articles/PMC10475174/ /pubmed/37660114 http://dx.doi.org/10.1186/s12859-023-05457-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Turner, Tychele N.
Acorn: an R package for de novo variant analysis
title Acorn: an R package for de novo variant analysis
title_full Acorn: an R package for de novo variant analysis
title_fullStr Acorn: an R package for de novo variant analysis
title_full_unstemmed Acorn: an R package for de novo variant analysis
title_short Acorn: an R package for de novo variant analysis
title_sort acorn: an r package for de novo variant analysis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475174/
https://www.ncbi.nlm.nih.gov/pubmed/37660114
http://dx.doi.org/10.1186/s12859-023-05457-z
work_keys_str_mv AT turnertychelen acornanrpackagefordenovovariantanalysis