IgCallerWeb – Tutorial

Handling and Features of IgCallerWeb, a Simple and Intuitive Platform for the Characterization of Immunoglobulin Rearrangements.

IgCaller Web is a user-friendly web application developed by the August Pi i Sunyer Biomedical Research Institute (IDIBAPS) for the characterization of immunoglobulin (IG) gene rearrangements from capture-based, next-generation sequencing data. It currently supports the analysis of IG genes from FASTQ files obtained using the SOPHiA DDMTM️ Community CLL Clonality Solution (CLLv3) from SOPHiA GENETICS, a panel that covers 23 relevant genes associated to Chronic Lymphocitic Leukaemia and includes additional probes to analyze IG rearrangements.

In this training session, the developer of IgCaller, Ferran Nadeu, shows us all the functionalities of the platform and how to use them to obtain information on two relevant biomarkers in CLL: the somatic hypermutation status and the presence of the R110 mutation in the IGLV3-21 rearrangement.

Ferran Nadeu completed the Master’s degree in Bioinformatics for Health Sciences at the Universidad Pompeu Fabra (Barcelona) in 2015, and in 2020, he finished his Ph.D. in Biomedicine from the University of Barcelona, in the group of Dr. Elías Campo. Currently, Ferran Nadeu is a postdoctoral researcher in Dr. Campo’s group at the Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), with self-funding from the European Hematology Association (EHA), the American Association for Cancer Research (AACR), and the Lady Tata Memorial Trust. His research focuses on using new experimental and bioinformatic tools to understand clonal diversity and evolution in CLL and other B-cell neoplasms. He has participated in over 70 studies published in top-tier biomedical and hematology journals, including Nature Medicine, Nature Genetics, Nature Communications, Blood, and Leukemia, among others, as the first author.

Ferran Nadeu has developed the IgCaller algorithm, which allows the characterization of the immunoglobulin gene using whole genome/exome sequencing data and capture-based NGS panels..