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EXCAVATOR: detecting copy number variants from whole-exome sequencing data

We developed a novel software tool, EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov model algorithm and a calling method that classifies genomic regions into...

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Autores principales: Magi, Alberto, Tattini, Lorenzo, Cifola, Ingrid, D’Aurizio, Romina, Benelli, Matteo, Mangano, Eleonora, Battaglia, Cristina, Bonora, Elena, Kurg, Ants, Seri, Marco, Magini, Pamela, Giusti, Betti, Romeo, Giovanni, Pippucci, Tommaso, Bellis, Gianluca De, Abbate, Rosanna, Gensini, Gian Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053953/
https://www.ncbi.nlm.nih.gov/pubmed/24172663
http://dx.doi.org/10.1186/gb-2013-14-10-r120
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author Magi, Alberto
Tattini, Lorenzo
Cifola, Ingrid
D’Aurizio, Romina
Benelli, Matteo
Mangano, Eleonora
Battaglia, Cristina
Bonora, Elena
Kurg, Ants
Seri, Marco
Magini, Pamela
Giusti, Betti
Romeo, Giovanni
Pippucci, Tommaso
Bellis, Gianluca De
Abbate, Rosanna
Gensini, Gian Franco
author_facet Magi, Alberto
Tattini, Lorenzo
Cifola, Ingrid
D’Aurizio, Romina
Benelli, Matteo
Mangano, Eleonora
Battaglia, Cristina
Bonora, Elena
Kurg, Ants
Seri, Marco
Magini, Pamela
Giusti, Betti
Romeo, Giovanni
Pippucci, Tommaso
Bellis, Gianluca De
Abbate, Rosanna
Gensini, Gian Franco
author_sort Magi, Alberto
collection PubMed
description We developed a novel software tool, EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov model algorithm and a calling method that classifies genomic regions into five copy number states. We validate EXCAVATOR on three datasets and compare the results with three other methods. These analyses show that EXCAVATOR outperforms the other methods and is therefore a valuable tool for the investigation of CNVs in largescale projects, as well as in clinical research and diagnostics. EXCAVATOR is freely available at http://sourceforge.net/projects/excavatortool/.
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spelling pubmed-40539532014-06-12 EXCAVATOR: detecting copy number variants from whole-exome sequencing data Magi, Alberto Tattini, Lorenzo Cifola, Ingrid D’Aurizio, Romina Benelli, Matteo Mangano, Eleonora Battaglia, Cristina Bonora, Elena Kurg, Ants Seri, Marco Magini, Pamela Giusti, Betti Romeo, Giovanni Pippucci, Tommaso Bellis, Gianluca De Abbate, Rosanna Gensini, Gian Franco Genome Biol Method We developed a novel software tool, EXCAVATOR, for the detection of copy number variants (CNVs) from whole-exome sequencing data. EXCAVATOR combines a three-step normalization procedure with a novel heterogeneous hidden Markov model algorithm and a calling method that classifies genomic regions into five copy number states. We validate EXCAVATOR on three datasets and compare the results with three other methods. These analyses show that EXCAVATOR outperforms the other methods and is therefore a valuable tool for the investigation of CNVs in largescale projects, as well as in clinical research and diagnostics. EXCAVATOR is freely available at http://sourceforge.net/projects/excavatortool/. BioMed Central 2013 2013-10-30 /pmc/articles/PMC4053953/ /pubmed/24172663 http://dx.doi.org/10.1186/gb-2013-14-10-r120 Text en Copyright © 2013 Magi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Magi, Alberto
Tattini, Lorenzo
Cifola, Ingrid
D’Aurizio, Romina
Benelli, Matteo
Mangano, Eleonora
Battaglia, Cristina
Bonora, Elena
Kurg, Ants
Seri, Marco
Magini, Pamela
Giusti, Betti
Romeo, Giovanni
Pippucci, Tommaso
Bellis, Gianluca De
Abbate, Rosanna
Gensini, Gian Franco
EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title_full EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title_fullStr EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title_full_unstemmed EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title_short EXCAVATOR: detecting copy number variants from whole-exome sequencing data
title_sort excavator: detecting copy number variants from whole-exome sequencing data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053953/
https://www.ncbi.nlm.nih.gov/pubmed/24172663
http://dx.doi.org/10.1186/gb-2013-14-10-r120
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