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IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST

Overview of attention for article published in Frontiers in immunology, September 2016
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Title
IMGT/StatClonotype for Pairwise Evaluation and Visualization of NGS IG and TR IMGT Clonotype (AA) Diversity or Expression from IMGT/HighV-QUEST
Published in
Frontiers in immunology, September 2016
DOI 10.3389/fimmu.2016.00339
Pubmed ID
Authors

Safa Aouinti, Véronique Giudicelli, Patrice Duroux, Dhafer Malouche, Sofia Kossida, Marie-Paule Lefranc

Abstract

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.

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Mendeley readers

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The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 9 15%
Professor 5 8%
Unspecified 3 5%
Student > Bachelor 3 5%
Other 11 19%
Unknown 14 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 17%
Agricultural and Biological Sciences 10 17%
Medicine and Dentistry 9 15%
Immunology and Microbiology 5 8%
Unspecified 2 3%
Other 6 10%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 September 2016.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Frontiers in immunology
#27,447
of 31,554 outputs
Outputs of similar age
#300,725
of 340,279 outputs
Outputs of similar age from Frontiers in immunology
#132
of 161 outputs
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So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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