The AnnotSV webserver in 2023: updated visualization and ranking

Author:

Geoffroy Véronique12,Lamouche Jean-Baptiste23,Guignard Thomas4,Nicaise Samuel3,Kress Arnaud5,Scheidecker Sophie26,Le Béchec Antony3,Muller Jean236ORCID

Affiliation:

1. Université de Brest, Inserm, EFS, UMR 1078 , GGB, F-29200 Brest , France

2. Laboratoire de Génétique Médicale, UMR 1112, INSERM, IGMA, Université de Strasbourg , Strasbourg , France

3. Unité Fonctionnelle de Bioinformatique Médicale appliquée au diagnostic (UF7363), Hôpitaux Universitaires de Strasbourg , Strasbourg , France

4. Unité de Génétique Chromosomique, CHU Montpellier , France

5. Complex Systems and Translational Bioinformatics, ICube, UMR 7357, University of Strasbourg, CNRS, FMTS , Strasbourg , France

6. Laboratoires de Diagnostic Génétique, IGMA, Hôpitaux Universitaires de Strasbourg , Strasbourg , France

Abstract

Abstract Much of the human genetics variant repertoire is composed of single nucleotide variants (SNV) and small insertion/deletions (indel) but structural variants (SV) remain a major part of our modified DNA. SV detection has often been a complex question to answer either because of the necessity to use different technologies (array CGH, SNP array, Karyotype, Optical Genome Mapping…) to detect each category of SV or to get an appropriate resolution (Whole Genome Sequencing). Thanks to the deluge of pangenomic analysis, Human geneticists are accumulating SV and their interpretation remains time consuming and challenging. The AnnotSV webserver (https://www.lbgi.fr/AnnotSV/) aims at being an efficient tool to (i) annotate and interpret SV potential pathogenicity in the context of human diseases, (ii) recognize potential false positive variants from all the SV identified and (iii) visualize the patient variants repertoire. The most recent developments in the AnnotSV webserver are: (i) updated annotations sources and ranking, (ii) three novel output formats to allow diverse utilization (analysis, pipelines), as well as (iii) two novel user interfaces including an interactive circos view.

Funder

University of Strasbourg

Publisher

Oxford University Press (OUP)

Subject

Genetics

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