IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST.
There is a huge need for standardized analysis and statistical procedures in order to compare the complex immune repertoires of antigen receptors immunoglobulins (IG) and T cell receptors (TR) obtained by next generation sequencing (NGS). NGS technologies generate millions of nucleotide sequences and have led to the development of new tools. The IMGT/HighV-QUEST, available since 2010, is the first global web portal for the analysis of IG and TR high throughput sequences. IMGT/HighV-QUEST provides standardized outputs for the characterization of the "IMGT clonotype (AA)" (AA for amino acids) and their comparison in up to one million sequences. Standardized statistical procedures for "IMGT clonotype (AA)" diversity or expression comparisons have recently been described, however, no tool was yet available. IMGT/StatClonotype, a new IMGT(®) tool, evaluates and visualizes statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per V (variable), D (diversity), and J (joining) gene of a given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. IMGT/StatClonotype tool is incorporated in the R package "IMGTStatClonotype," with a user-friendly interface. IMGT/StatClonotype is downloadable at IMGT(®) for users to evaluate pairwise comparison of IG and TR NGS statistical output from IMGT/HighV-QUEST and to visualize, on their web browser, the statistical significance of IMGT clonotype (AA) diversity or expression, per gene, the comparative analysis of CDR-IMGT and the V-D-J associations, in immunoprofiles from normal or pathological immune responses.
IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University, Montpellier, France; Higher School of Statistics and Information Analysis, Unité Modélisation et Analyse Statistique et Economique, University of Carthage, Tunis, Tunisia.
Safa
S
Aouinti
IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France.
Véronique
V
Giudicelli
IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France.
Patrice
P
Duroux
Higher School of Statistics and Information Analysis, Unité Modélisation et Analyse Statistique et Economique, University of Carthage , Tunis , Tunisia.
Dhafer
D
Malouche
IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France.
Sofia
S
Kossida
IMGT®, The international ImMunoGeneTics information system®, Laboratoire d'ImmunoGénétique Moléculaire LIGM, Institut de Génétique Humaine IGH, UPR CNRS 1142, Montpellier University , Montpellier , France.
Marie-Paule
MP
Lefranc
IMGT-ONTOLOGY; IMGT/HighV-QUEST; T cell receptor; antibody; immunoglobulin; immunoinformatics; next generation sequencing; statistical significance
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