FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation

We describe a suite of predictive models, coined FAST(m)C, for nonreference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from...

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Detalles Bibliográficos
Autores principales: Bewick, Adam J., Hofmeister, Brigitte T., Lee, Kevin, Zhang, Xiaoyu, Hall, David W., Schmitz, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2015
Materias:
Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751562/
https://www.ncbi.nlm.nih.gov/pubmed/26681520
http://dx.doi.org/10.1534/g3.115.025668
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author Bewick, Adam J.
Hofmeister, Brigitte T.
Lee, Kevin
Zhang, Xiaoyu
Hall, David W.
Schmitz, Robert J.
author_facet Bewick, Adam J.
Hofmeister, Brigitte T.
Lee, Kevin
Zhang, Xiaoyu
Hall, David W.
Schmitz, Robert J.
author_sort Bewick, Adam J.
collection PubMed
description We describe a suite of predictive models, coined FAST(m)C, for nonreference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from whole-genome bisulfite sequencing. These models make high-resolution time course or developmental and large diversity studies practical regardless of species, genome size, and availability of a reference genome.
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spelling pubmed-47515622016-02-12 FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation Bewick, Adam J. Hofmeister, Brigitte T. Lee, Kevin Zhang, Xiaoyu Hall, David W. Schmitz, Robert J. G3 (Bethesda) Investigations We describe a suite of predictive models, coined FAST(m)C, for nonreference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from whole-genome bisulfite sequencing. These models make high-resolution time course or developmental and large diversity studies practical regardless of species, genome size, and availability of a reference genome. Genetics Society of America 2015-12-14 /pmc/articles/PMC4751562/ /pubmed/26681520 http://dx.doi.org/10.1534/g3.115.025668 Text en Copyright © 2016 Bewick et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Bewick, Adam J.
Hofmeister, Brigitte T.
Lee, Kevin
Zhang, Xiaoyu
Hall, David W.
Schmitz, Robert J.
FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title_full FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title_fullStr FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title_full_unstemmed FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title_short FAST(m)C: A Suite of Predictive Models for Nonreference-Based Estimations of DNA Methylation
title_sort fast(m)c: a suite of predictive models for nonreference-based estimations of dna methylation
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4751562/
https://www.ncbi.nlm.nih.gov/pubmed/26681520
http://dx.doi.org/10.1534/g3.115.025668
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