Galaxy Is a Suitable Bioinformatics Platform for the Molecular Diagnosis of Human Genetic Disorders Using High-Throughput Sequencing Data Analysis: Five Years of Experience in a Clinical Laboratory

Autor: Kenneth Chappell, Bruno Francou, Christophe Habib, Thomas Huby, Marco Leoni, Aurélien Cottin, Florian Nadal, Eric Adnet, Eric Paoli, Christophe Oliveira, Céline Verstuyft, Anne Davit-Spraul, Pauline Gaignard, Elise Lebigot, Jean-Charles Duclos-Vallee, Jacques Young, Peter Kamenicky, David Adams, Andoni Echaniz-Laguna, Emmanuel Gonzales, Claire Bouvattier, Agnes Linglart, Véronique Picard, Emilie Bergoin, Emmanuel Jacquemin, Anne Guiochon-Mantel, Alexis Proust, Jérôme Bouligand
Rok vydání: 2021
Předmět:
Zdroj: Clinical Chemistry. 68:313-321
ISSN: 1530-8561
0009-9147
DOI: 10.1093/clinchem/hvab220
Popis: BackgroundTo date, the usage of Galaxy, an open-source bioinformatics platform, has been reported primarily in research. We report 5 years’ experience (2015 to 2020) with Galaxy in our hospital, as part of the “Assistance Publique–Hôpitaux de Paris” (AP-HP), to demonstrate its suitability for high-throughput sequencing (HTS) data analysis in a clinical laboratory setting.MethodsOur Galaxy instance has been running since July 2015 and is used daily to study inherited diseases, cancer, and microbiology. For the molecular diagnosis of hereditary diseases, 6970 patients were analyzed with Galaxy (corresponding to a total of 7029 analyses).ResultsUsing Galaxy, the time to process a batch of 23 samples—equivalent to a targeted DNA sequencing MiSeq run—from raw data to an annotated variant call file was generally less than 2 h for panels between 1 and 500 kb. Over 5 years, we only restarted the server twice for hardware maintenance and did not experience any significant troubles, demonstrating the robustness of our Galaxy installation in conjunction with HTCondor as a job scheduler and a PostgreSQL database. The quality of our targeted exome sequencing method was externally evaluated annually by the European Molecular Genetics Quality Network (EMQN). Sensitivity was mean (SD)% 99 (2)% for single nucleotide variants and 93 (9)% for small insertion-deletions.ConclusionOur experience with Galaxy demonstrates it to be a suitable platform for HTS data analysis with vast potential to benefit patient care in a clinical laboratory setting.
Databáze: OpenAIRE
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