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ClonoCalc and ClonoPlot: immune repertoire analysis from raw files to publication figures with graphical user interface

Overview of attention for article published in BMC Bioinformatics, March 2017
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Title
ClonoCalc and ClonoPlot: immune repertoire analysis from raw files to publication figures with graphical user interface
Published in
BMC Bioinformatics, March 2017
DOI 10.1186/s12859-017-1575-2
Pubmed ID
Authors

Anke Fähnrich, Moritz Krebbel, Normann Decker, Martin Leucker, Felix D. Lange, Kathrin Kalies, Steffen Möller

Abstract

Next generation sequencing (NGS) technologies enable studies and analyses of the diversity of both T and B cell receptors (TCR and BCR) in human and animal systems to elucidate immune functions in health and disease. Over the last few years, several algorithms and tools have been developed to support respective analyses of raw sequencing data of the immune repertoire. These tools focus on distinct aspects of the data processing and require a strong bioinformatics background. To facilitate the analysis of T and B cell repertoires by less experienced users, software is needed that combines the most common tools for repertoire analysis. We introduce a graphical user interface (GUI) providing a complete analysis pipeline for processing raw NGS data for human and animal TCR and BCR clonotype determination and advanced differential repertoire studies. It provides two applications. ClonoCalc prepares the raw data for downstream analyses. It combines a demultiplexer for barcode splitting and employs MiXCR for paired-end read merging and the extraction of human and animal TCR/BCR sequences. ClonoPlot wraps the R package tcR and further contributes self-developed plots for the descriptive comparative investigation of immune repertoires. This workflow reduces the amount of programming required to perform the respective analyses and supports both communication and training between scientists and technicians, and across scientific disciplines. The Open Source development in Java and R is modular and invites advanced users to extend its functionality. Software and documentation are freely available at https://bitbucket.org/ClonoSuite/clonocalc-plot .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Master 8 12%
Student > Ph. D. Student 7 10%
Student > Bachelor 5 7%
Professor 4 6%
Other 13 19%
Unknown 15 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 21%
Agricultural and Biological Sciences 14 21%
Immunology and Microbiology 8 12%
Medicine and Dentistry 5 7%
Engineering 4 6%
Other 8 12%
Unknown 15 22%
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 30 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from BMC Bioinformatics
#6,887
of 7,312 outputs
Outputs of similar age
#268,714
of 308,267 outputs
Outputs of similar age from BMC Bioinformatics
#107
of 124 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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