| BMC Bioinformatics | |
| Immunopeptidomics toolkit library (IPTK): a python-based modular toolbox for analyzing immunopeptidomics data | |
| Frauke Degenhardt1  Andre Franke1  Mareike Wendorff1  Hesham ElAbd1  Petra Bacher2  Ann-Kristin Kamps2  Andreas Tholey3  Tomas Koudelka3  Tobias L. Lenz4  | |
| [1] Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany;Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany;Institute of Immunology, Christian-Albrechts-University of Kiel, Kiel, Germany;Proteomics and Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-University of Kiel, Kiel, Germany;Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany; | |
| 关键词: HLA; Immunopeptidomics; Antigen processing and presentation; Computational immunology; Interactive data analysis; | |
| DOI : 10.1186/s12859-021-04315-0 | |
| 来源: Springer | |
PDF
|
|
【 摘 要 】
BackgroundThe human leukocyte antigen (HLA) proteins play a fundamental role in the adaptive immune system as they present peptides to T cells. Mass-spectrometry-based immunopeptidomics is a promising and powerful tool for characterizing the immunopeptidomic landscape of HLA proteins, that is the peptides presented on HLA proteins. Despite the growing interest in the technology, and the recent rise of immunopeptidomics-specific identification pipelines, there is still a gap in data-analysis and software tools that are specialized in analyzing and visualizing immunopeptidomics data.ResultsWe present the IPTK library which is an open-source Python-based library for analyzing, visualizing, comparing, and integrating different omics layers with the identified peptides for an in-depth characterization of the immunopeptidome. Using different datasets, we illustrate the ability of the library to enrich the result of the identified peptidomes. Also, we demonstrate the utility of the library in developing other software and tools by developing an easy-to-use dashboard that can be used for the interactive analysis of the results.ConclusionIPTK provides a modular and extendable framework for analyzing and integrating immunopeptidomes with different omics layers. The library is deployed into PyPI at https://pypi.org/project/IPTKL/ and into Bioconda at https://anaconda.org/bioconda/iptkl, while the source code of the library and the dashboard, along with the online tutorials are available at https://github.com/ikmb/iptoolkit.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202109178931301ZK.pdf | 2669KB |
PDF