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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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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/. |
format | Online Article Text |
id | pubmed-4053953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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