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Datasets for a simulated family-based exome-sequencing study
We present simulated exome-sequencing data for 150 families from a North American admixed population, ascertained to contain at least four members affected with lymphoid cancer. These data include information on the ascertained families as well as single-nucleotide variants on the exome of affected...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344320/ https://www.ncbi.nlm.nih.gov/pubmed/35928588 http://dx.doi.org/10.1016/j.dib.2022.108311 |
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author | Epasinghege Dona, Nirodha Graham, Jinko |
author_facet | Epasinghege Dona, Nirodha Graham, Jinko |
author_sort | Epasinghege Dona, Nirodha |
collection | PubMed |
description | We present simulated exome-sequencing data for 150 families from a North American admixed population, ascertained to contain at least four members affected with lymphoid cancer. These data include information on the ascertained families as well as single-nucleotide variants on the exome of affected family members. We provide a brief overview of the simulation steps and links to the associated software scripts. The resulting data are useful to identify genomic patterns and disease inheritance in families with multiple disease-affected members. |
format | Online Article Text |
id | pubmed-9344320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93443202022-08-03 Datasets for a simulated family-based exome-sequencing study Epasinghege Dona, Nirodha Graham, Jinko Data Brief Data Article We present simulated exome-sequencing data for 150 families from a North American admixed population, ascertained to contain at least four members affected with lymphoid cancer. These data include information on the ascertained families as well as single-nucleotide variants on the exome of affected family members. We provide a brief overview of the simulation steps and links to the associated software scripts. The resulting data are useful to identify genomic patterns and disease inheritance in families with multiple disease-affected members. Elsevier 2022-05-26 /pmc/articles/PMC9344320/ /pubmed/35928588 http://dx.doi.org/10.1016/j.dib.2022.108311 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Epasinghege Dona, Nirodha Graham, Jinko Datasets for a simulated family-based exome-sequencing study |
title | Datasets for a simulated family-based exome-sequencing study |
title_full | Datasets for a simulated family-based exome-sequencing study |
title_fullStr | Datasets for a simulated family-based exome-sequencing study |
title_full_unstemmed | Datasets for a simulated family-based exome-sequencing study |
title_short | Datasets for a simulated family-based exome-sequencing study |
title_sort | datasets for a simulated family-based exome-sequencing study |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9344320/ https://www.ncbi.nlm.nih.gov/pubmed/35928588 http://dx.doi.org/10.1016/j.dib.2022.108311 |
work_keys_str_mv | AT epasinghegedonanirodha datasetsforasimulatedfamilybasedexomesequencingstudy AT grahamjinko datasetsforasimulatedfamilybasedexomesequencingstudy |