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MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing

Motivation: The increasing availability of mitochondria-targeted and off-target sequencing data in whole-exome and whole-genome sequencing studies (WXS and WGS) has risen the demand of effective pipelines to accurately measure heteroplasmy and to easily recognize the most functionally important mito...

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Autores principales: Calabrese, Claudia, Simone, Domenico, Diroma, Maria Angela, Santorsola, Mariangela, Guttà, Cristiano, Gasparre, Giuseppe, Picardi, Ernesto, Pesole, Graziano, Attimonelli, Marcella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201154/
https://www.ncbi.nlm.nih.gov/pubmed/25028726
http://dx.doi.org/10.1093/bioinformatics/btu483
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author Calabrese, Claudia
Simone, Domenico
Diroma, Maria Angela
Santorsola, Mariangela
Guttà, Cristiano
Gasparre, Giuseppe
Picardi, Ernesto
Pesole, Graziano
Attimonelli, Marcella
author_facet Calabrese, Claudia
Simone, Domenico
Diroma, Maria Angela
Santorsola, Mariangela
Guttà, Cristiano
Gasparre, Giuseppe
Picardi, Ernesto
Pesole, Graziano
Attimonelli, Marcella
author_sort Calabrese, Claudia
collection PubMed
description Motivation: The increasing availability of mitochondria-targeted and off-target sequencing data in whole-exome and whole-genome sequencing studies (WXS and WGS) has risen the demand of effective pipelines to accurately measure heteroplasmy and to easily recognize the most functionally important mitochondrial variants among a huge number of candidates. To this purpose, we developed MToolBox, a highly automated pipeline to reconstruct and analyze human mitochondrial DNA from high-throughput sequencing data. Results: MToolBox implements an effective computational strategy for mitochondrial genomes assembling and haplogroup assignment also including a prioritization analysis of detected variants. MToolBox provides a Variant Call Format file featuring, for the first time, allele-specific heteroplasmy and annotation files with prioritized variants. MToolBox was tested on simulated samples and applied on 1000 Genomes WXS datasets. Availability and implementation: MToolBox package is available at https://sourceforge.net/projects/mtoolbox/. Contact: marcella.attimonelli@uniba.it Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-42011542014-10-22 MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing Calabrese, Claudia Simone, Domenico Diroma, Maria Angela Santorsola, Mariangela Guttà, Cristiano Gasparre, Giuseppe Picardi, Ernesto Pesole, Graziano Attimonelli, Marcella Bioinformatics Applications Notes Motivation: The increasing availability of mitochondria-targeted and off-target sequencing data in whole-exome and whole-genome sequencing studies (WXS and WGS) has risen the demand of effective pipelines to accurately measure heteroplasmy and to easily recognize the most functionally important mitochondrial variants among a huge number of candidates. To this purpose, we developed MToolBox, a highly automated pipeline to reconstruct and analyze human mitochondrial DNA from high-throughput sequencing data. Results: MToolBox implements an effective computational strategy for mitochondrial genomes assembling and haplogroup assignment also including a prioritization analysis of detected variants. MToolBox provides a Variant Call Format file featuring, for the first time, allele-specific heteroplasmy and annotation files with prioritized variants. MToolBox was tested on simulated samples and applied on 1000 Genomes WXS datasets. Availability and implementation: MToolBox package is available at https://sourceforge.net/projects/mtoolbox/. Contact: marcella.attimonelli@uniba.it Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2014-11-01 2014-07-14 /pmc/articles/PMC4201154/ /pubmed/25028726 http://dx.doi.org/10.1093/bioinformatics/btu483 Text en © The Author 2014. Published by Oxford University Press http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/),which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Calabrese, Claudia
Simone, Domenico
Diroma, Maria Angela
Santorsola, Mariangela
Guttà, Cristiano
Gasparre, Giuseppe
Picardi, Ernesto
Pesole, Graziano
Attimonelli, Marcella
MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title_full MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title_fullStr MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title_full_unstemmed MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title_short MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
title_sort mtoolbox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201154/
https://www.ncbi.nlm.nih.gov/pubmed/25028726
http://dx.doi.org/10.1093/bioinformatics/btu483
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