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ICO Amplicon NGS Data Analysis: A Web Tool for Variant Detection in Common High‐Risk Hereditary Cancer Genes Analyzed by Amplicon GS Junior Next‐Generation Sequencing
Authors:Adriana Lopez‐Doriga  Lídia Feliubadaló  Mireia Menéndez  Sergio Lopez‐Doriga  Francisco D. Morón‐Duran  Jesús del Valle  Eva Tornero  Eva Montes  Raquel Cuesta  Olga Campos  Carolina Gómez  Marta Pineda  Sara González  Victor Moreno  Gabriel Capellá  Conxi Lázaro
Affiliation:1. Hereditary Cancer Program, Catalan Institute of Oncology, L'Hospitalet de Llobregat, Barcelona, Spain;2. Prevention Program, Catalan Institute of Oncology (ICO‐IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain;3. Facultat d'Ingenieria Industrial, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
Abstract:Next‐generation sequencing (NGS) has revolutionized genomic research and is set to have a major impact on genetic diagnostics thanks to the advent of benchtop sequencers and flexible kits for targeted libraries. Among the main hurdles in NGS are the difficulty of performing bioinformatic analysis of the huge volume of data generated and the high number of false positive calls that could be obtained, depending on the NGS technology and the analysis pipeline. Here, we present the development of a free and user‐friendly Web data analysis tool that detects and filters sequence variants, provides coverage information, and allows the user to customize some basic parameters. The tool has been developed to provide accurate genetic analysis of targeted sequencing of common high‐risk hereditary cancer genes using amplicon libraries run in a GS Junior System. The Web resource is linked to our own mutation database, to assist in the clinical classification of identified variants. We believe that this tool will greatly facilitate the use of the NGS approach in routine laboratories.
Keywords:next generation sequencing  mutation analysis  bioinformatic analysis  variant identification  hereditary cancer
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