Literature DB >> 33970638

Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison.

Tobias Schmidt1, Patroklos Samaras1, Viktoria Dorfer2, Christian Panse3,4, Tobias Kockmann3, Leon Bichmann5, Bart van Puyvelde6, Yasset Perez-Riverol7, Eric W Deutsch8, Bernhard Kuster1,9, Mathias Wilhelm1,10.   

Abstract

Here, we present the Universal Spectrum Explorer (USE), a web-based tool based on IPSA for cross-resource (peptide) spectrum visualization and comparison (https://www.proteomicsdb.org/use/). Mass spectra under investigation can be either provided manually by the user (table format) or automatically retrieved from online repositories supporting access to spectral data via the universal spectrum identifier (USI), or requested from other resources and services implementing a newly designed REST interface. As a proof of principle, we implemented such an interface in ProteomicsDB thereby allowing the retrieval of spectra acquired within the ProteomeTools project or real-time prediction of tandem mass spectra from the deep learning framework Prosit. Annotated mirror spectrum plots can be exported from the USE as editable scalable high-quality vector graphics. The USE was designed and implemented with minimal external dependencies allowing local usage and integration into other web sites (https://github.com/kusterlab/universal_spectrum_explorer).

Keywords:  USI; bioinformatics; spectrum comparison; universal spectrum identifier; visualization; web tool

Year:  2021        PMID: 33970638     DOI: 10.1021/acs.jproteome.1c00096

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  3 in total

1.  ProteomicsDB: toward a FAIR open-source resource for life-science research.

Authors:  Ludwig Lautenbacher; Patroklos Samaras; Julian Muller; Andreas Grafberger; Marwin Shraideh; Johannes Rank; Simon T Fuchs; Tobias K Schmidt; Matthew The; Christian Dallago; Holger Wittges; Burkhard Rost; Helmut Krcmar; Bernhard Kuster; Mathias Wilhelm
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

2.  The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences.

Authors:  Yasset Perez-Riverol; Jingwen Bai; Chakradhar Bandla; David García-Seisdedos; Suresh Hewapathirana; Selvakumar Kamatchinathan; Deepti J Kundu; Ananth Prakash; Anika Frericks-Zipper; Martin Eisenacher; Mathias Walzer; Shengbo Wang; Alvis Brazma; Juan Antonio Vizcaíno
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

3.  iProX in 2021: connecting proteomics data sharing with big data.

Authors:  Tao Chen; Jie Ma; Yi Liu; Zhiguang Chen; Nong Xiao; Yutong Lu; Yinjin Fu; Chunyuan Yang; Mansheng Li; Songfeng Wu; Xue Wang; Dongsheng Li; Fuchu He; Henning Hermjakob; Yunping Zhu
Journal:  Nucleic Acids Res       Date:  2022-01-07       Impact factor: 16.971

  3 in total

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