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MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions
This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496224/ https://www.ncbi.nlm.nih.gov/pubmed/33905502 http://dx.doi.org/10.1093/g3journal/jkab133 |
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author | Milkevych, Viktor Karaman, Emre Sahana, Goutam Janss, Luc Cai, Zexi Lund, Mogens Sandø |
author_facet | Milkevych, Viktor Karaman, Emre Sahana, Goutam Janss, Luc Cai, Zexi Lund, Mogens Sandø |
author_sort | Milkevych, Viktor |
collection | PubMed |
description | This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative (complex) trait, and closely imitates the basic in vivo mechanisms of quantitative trait realization. The software provides a framework to study molecular mechanisms of gene-by-gene and gene-by-environment interactions underlying quantitative trait’s realization and allows detailed mechanistic studies of impact of genetic and phenotypic variance on gene regulation. MeSCoT performs a detailed simulation of genes’ regulatory interactions for variable genomic architectures and generates complete set of transcriptional and translational data together with simulated quantitative trait values. Such data provide opportunities to study, for example, verification of novel statistical methods aiming to integrate intermediate phenotypes together with final phenotype in quantitative genetic analyses or to investigate novel approaches for exploiting gene-by-gene and gene-by-environment interactions. |
format | Online Article Text |
id | pubmed-8496224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84962242021-10-07 MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions Milkevych, Viktor Karaman, Emre Sahana, Goutam Janss, Luc Cai, Zexi Lund, Mogens Sandø G3 (Bethesda) Software and Data Resources This work represents a novel mechanistic approach to simulate and study genomic networks with accompanying regulatory interactions and complex mechanisms of quantitative trait formation. The approach implemented in MeSCoT software is conceptually based on the omnigenic genetic model of quantitative (complex) trait, and closely imitates the basic in vivo mechanisms of quantitative trait realization. The software provides a framework to study molecular mechanisms of gene-by-gene and gene-by-environment interactions underlying quantitative trait’s realization and allows detailed mechanistic studies of impact of genetic and phenotypic variance on gene regulation. MeSCoT performs a detailed simulation of genes’ regulatory interactions for variable genomic architectures and generates complete set of transcriptional and translational data together with simulated quantitative trait values. Such data provide opportunities to study, for example, verification of novel statistical methods aiming to integrate intermediate phenotypes together with final phenotype in quantitative genetic analyses or to investigate novel approaches for exploiting gene-by-gene and gene-by-environment interactions. Oxford University Press 2021-04-27 /pmc/articles/PMC8496224/ /pubmed/33905502 http://dx.doi.org/10.1093/g3journal/jkab133 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software and Data Resources Milkevych, Viktor Karaman, Emre Sahana, Goutam Janss, Luc Cai, Zexi Lund, Mogens Sandø MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title | MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title_full | MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title_fullStr | MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title_full_unstemmed | MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title_short | MeSCoT: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
title_sort | mescot: the tool for quantitative trait simulation through the mechanistic modeling of genes’ regulatory interactions |
topic | Software and Data Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496224/ https://www.ncbi.nlm.nih.gov/pubmed/33905502 http://dx.doi.org/10.1093/g3journal/jkab133 |
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