NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Visual Mass-Spec Share (vMS-Share): A New Public Web-Based Mass Spectrometry Visualization and Data Mining Repository

Published

Author(s)

Niksa Blonder, Benjamin C. Orsburn, Josip Blonder, Carlos A. Gonzalez

Abstract

Herein we introduce the Visual Mass-Spec Share (vMS-Share), a new public mass spectrometric (MS) repository and data mining website/resource freely accessible at https://vmsshare.nist.gov. vMS-Share is a webbased application developed for instant visualization of raw MS data with integrated display of metadata optimized for the sharing of proteomics and metabolomics experimental results. Each MS-based identification is linked to a given experiment and the entire experimental data can then be viewed using the link associated with a given peptide and/or small molecule. Interactive and user-friendly visualizations are provided to the user via variety of easily accessible search filters.
Citation
Journal of Proteomics & Bioinformatics
Volume
12
Pub Type
Journals

Download Paper

https://doi.org/10.4172/0974-276X.1000495

Keywords

proteomics, metabolomics, public repository, raw data visualization/mining
Data and informatics and Information retrieval

Citation

Blonder, N. , Orsburn, B. , Blonder, J. and Gonzalez, C. (2019), Visual Mass-Spec Share (vMS-Share): A New Public Web-Based Mass Spectrometry Visualization and Data Mining Repository, Journal of Proteomics & Bioinformatics, [online], https://doi.org/10.4172/0974-276X.1000495 (Accessed October 7, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created March 21, 2019, Updated January 27, 2020
Was this page helpful?