Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Academic Article
Publication Date:
2013
abstract:
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/. © 2013 Magi et al.; licensee BioMed Central Ltd.
Iris type:
01.01 Articolo in rivista
Keywords:
Next generation Sequencing
List of contributors:
Mangano, Eleonora; D'Aurizio, Romina; Battaglia, Cristina; DE BELLIS, Gianluca; Cifola, Ingrid
Authors of the University:
CIFOLA INGRID
D'AURIZIO ROMINA
DE BELLIS GIANLUCA
MANGANO ELEONORA
Handle:
https://iris.cnr.it/handle/20.500.14243/249166
Published in:
GENOME BIOLOGY (ONLINE)
Journal
  • Overview

Overview

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-84886541754&partnerID=q2rCbXpz
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)