4.7 Article

Peptigram: A Web-Based Application for Peptidomics Data Visualization

期刊

JOURNAL OF PROTEOME RESEARCH
卷 16, 期 2, 页码 712-719

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.6b00751

关键词

data visualization; peptides; peptidomics; proteomics; mass spectrometry; sample comparison; proteolysis

资金

  1. Enterprise Ireland grant [TC2013001]
  2. Irish Research Council Bioinformatics and Systems Biology Graduate Research Education Programme
  3. Science Foundation Ireland Principal Investigator grant [08/IN1/B1864, 11/PI/1034]
  4. Science Foundation Ireland Starting Investigator Research Grant [13/SIRG/2193]
  5. Science Foundation Ireland Industry Fellowship grant [15/IFB/3601]
  6. Science Foundation Ireland (SFI) [13/SIRG/2193, 15/IFB/3601] Funding Source: Science Foundation Ireland (SFI)

向作者/读者索取更多资源

Tandem mass spectrometry (MS/MS) techniques, developed for protein identification, are increasingly being applied in the field of peptidomics. Using this approach, the set of protein fragments observed in a sample of interest can be determined to gain insights into important biological processes such as signaling and other bioactivities. As the peptidomics era progresses, there is a need for robust and convenient methods to inspect and analyze MS/MS derived data. Here, we present Peptigram, a novel tool dedicated to the-visualization and comparison of peptides detected by MS/MS. The principal advantage of Peptigram is that it provides visualizations at both the protein and peptide level, allowing users to simultaneously visualize the peptide distributions of one or more samples of interest, mapped to their parent proteins. In this way rapid comparisons between samples can be made in terms of their peptide coverage and abundance. Moreover, Peptigram integrates and displays key sequence features from external databases and links with peptide analysis tools to offer the user a comprehensive peptide discovery resource. Here, we illustrate the use of Peptigram on a data set of milk hydrolysates. For convenience, Peptigram is implemented as a web application, and is freely available for academic use at http://bioware.ucd.ie/peptigram.

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