ARResT

ARResT assigns B cell receptor immunoglobulin (BcR IG) sequences from chronic lymphocytic leukemia (CLL) patients to stereotyped subsets to enable analysis of sequence restriction and its biological and clinical implications.

Key Features:

• Robust Assignment: Assigns BcR IG sequences from CLL patients to major stereotyped subsets, addressing sequence restriction (stereotypy) observed in ~30% of cases.
• Integration with IMGT/V-QUEST: Uses IMGT/V-QUEST for expert immunogenetic annotation of immunoglobulin and T cell receptor sequences.
• Quality Curation: Implements curation processes to safeguard sequence quality and data integrity.
• Statistical Modeling: Applies statistical models trained on features derived from over 7,500 CLL patient datasets to classify sequences into established subsets.
• Multi-Perspective Results: Produces multiple output perspectives enabling objective and subjective assessments of BcR IG sequence data.

Scientific Applications:

• Research on CLL Stereotypy: Enables classification of BcR IG sequences into stereotyped subsets to study sequence restriction and associated biological characteristics in CLL.
• Clinical Outcome Prediction: Supports investigation of associations between BcR IG stereotypy and clinical outcomes for potential prognostic stratification.

Methodology:

Sequence annotation using IMGT/V-QUEST, quality curation of sequences, and statistical modeling trained on over 7,500 CLL patient sequence datasets.