Evidence map›Paper›PMID 29669518›Full record

ArticleBMC bioinformatics2018

IRProfiler - a software toolbox for high throughput immune receptor profiling.

Christos Maramis, Athanasios Gkoufas, Anna Vardi, Evangelia Stalika, Kostas Stamatopoulos, Anastasia Hatzidimitriou, Nicos Maglaveras, Ioanna Chouvarda

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. The Pipeline Repertoire for Ig-Seq Analysis.Frontiers in immunology · 2019
    Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Christos MaramisLab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. chmaramis@med.auth.gr.
Athanasios GkoufasLab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Anna VardiInstitute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
Evangelia StalikaInstitute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
Kostas StamatopoulosInstitute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
Anastasia HatzidimitriouInstitute of Applied Biosiences, Centre for Research & Technology Hellas, 57001, Thermi, Greece.
Nicos MaglaverasLab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
Ioanna ChouvardaLab of Computing, Medical Informatics & Biomedical-Imaging Technologies, Department of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.

Funding

Horizon 2020 Framework Programme (BE) 644906
6 · The paper itself

Abstract

backgroundThe 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.

resultsThis 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.

conclusionIRProfiler 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.

Indexed as

SoftwareAlgorithmsHematologic DiseasesHigh-Throughput Nucleotide SequencingHumansReceptors, Antigen, B-CellReceptors, Antigen, T-CellSequence Analysis, DNAReceptors, Antigen, B-CellReceptors, Antigen, T-CellB-cell receptorsHigh-throughput sequencingImmune receptor profilingSoftware pipelineT-cell receptors

Identifiers

PMID29669518
PMCPMC5907363

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.