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IRProfiler - a software toolbox for high throughput immune receptor profiling.
Maramis, Christos; Gkoufas, Athanasios; Vardi, Anna; Stalika, Evangelia; Stamatopoulos, Kostas; Hatzidimitriou, Anastasia; Maglaveras, Nicos; Chouvarda, Ioanna.
Afiliación
  • Maramis C; Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. chmaramis@med.auth.gr.
  • Gkoufas A; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece. chmaramis@med.auth.gr.
  • Vardi A; Lab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
  • Stalika E; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
  • Stamatopoulos K; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
  • Hatzidimitriou A; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
  • Maglaveras N; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
  • Chouvarda I; Institute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
BMC Bioinformatics ; 19(1): 144, 2018 04 18.
Article en En | MEDLINE | ID: mdl-29669518
ABSTRACT

BACKGROUND:

The study of the huge diversity of immune receptors, often referred to as immune repertoire profiling, is a prerequisite for diagnosis, prognostication and monitoring of hematological disorders. In the era of high-throughput sequencing (HTS), the abundance of immunogenetic data has revealed unprecedented opportunities for the thorough profiling of T-cell receptors (TR) and B-cell receptors (BcR). However, the volume of the data to be analyzed mandates for efficient and ease-to-use immune repertoire profiling software applications.

RESULTS:

This work introduces Immune Repertoire Profiler (IRProfiler), a novel software pipeline that delivers a number of core receptor repertoire quantification and comparison functionalities on high-throughput TR and BcR sequencing data. Adopting 5 alternative clonotype definitions, IRProfiler implements a series of algorithms for 1) data filtering, 2) calculation of clonotype diversity and expression, 3) calculation of gene usage for the V and J subgroups, 4) detection of shared and exclusive clonotypes among multiple repertoires, and 5) comparison of gene usage for V and J subgroups among multiple repertoires. IRProfiler has been implemented as a toolbox of the Galaxy bioinformatics platform, comprising 6 tools. Theoretical and experimental evaluation has shown that the tools of IRProfiler are able to scale well with respect to the size of input dataset(s). IRProfiler has been utilized by a number of recently published studies concerning hematological disorders.

CONCLUSION:

IRProfiler is made freely available via 3 distribution channels, including the Galaxy Tool Shed. Despite being a new entry in a crowded ecosystem of immune repertoire profiling software, IRProfiler founds its added value on its support for alternative clonotype definitions in conjunction with a combination of properties stemming from its user-centric design, namely ease-of-use, ease-of-access, exploitability of the output data, and analysis flexibility.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Receptores de Antígenos de Linfocitos B / Receptores de Antígenos de Linfocitos T Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Grecia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Receptores de Antígenos de Linfocitos B / Receptores de Antígenos de Linfocitos T Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Grecia