AnnotSV and knotAnnotSV: a web server for human structural variations annotations, ranking and analysis - Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg
Article Dans Une Revue Nucleic Acids Research Année : 2021

AnnotSV and knotAnnotSV: a web server for human structural variations annotations, ranking and analysis

Résumé

With the dramatic increase of pangenomic analysis, Human geneticists have generated large amount of genomic data including millions of small variants (SNV/indel) but also thousands of structural variations (SV) mainly from next-generation sequencing and array-based techniques. While the identification of the complete SV repertoire of a patient is getting possible, the interpretation of each SV remains challenging. To help identifying human pathogenic SV, we have developed a web server dedicated to their annotation and ranking (AnnotSV) as well as their visualization and interpretation (knotAnnotSV) freely available at the following address: https://www.lbgi.fr/AnnotSV/. A large amount of annotations from >20 sources is integrated in our web server including among others genes, haploinsufficiency, triplosensitivity, regulatory elements, known pathogenic or benign genomic regions, phenotypic data. An ACMG/ClinGen compliant prioritization module allows the scoring and the ranking of SV into 5 SV classes from pathogenic to benign. Finally, the visualization interface displays the annotated SV in an interactive way including popups, search fields, filtering options, advanced colouring to highlight pathogenic SV and hyperlinks to the UCSC genome browser or other public databases. This web server is designed for diagnostic and research analysis by providing important resources to the user.
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Dates et versions

hal-03393638 , version 1 (05-09-2024)

Identifiants

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Veronique Geoffroy, Thomas Guignard, Arnaud Kress, Jean-Baptiste Gaillard, Tor Solli-Nowlan, et al.. AnnotSV and knotAnnotSV: a web server for human structural variations annotations, ranking and analysis. Nucleic Acids Research, 2021, 49, ⟨10.1093/nar/gkab402⟩. ⟨hal-03393638⟩
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