Mass spectrometry searches using MASST

• NCJ Number: 303260
• Journal: Nature Biotechnology Volume: 38 Issue: 1 Dated: 2020 Pages: 23-26
• Date Published: 2020
• Author(s): Mingxun Wang; Alan K. Jarmusch; Fernando Vargas; Alexander A. Askenov; Julia M. Gauglitz; Kelly Weldon; Daniel Petras; Ricardo Da Silva; Robert Quinn; Alexey V. Melnik; Justin J. J. van der Hooft ; Andrés Mauricio; Caraballo-Rodríguez; Louis Felix Nothias; Christine M. Aceves; Morgan Panitchpakdi; Elizabeth Brown; Francesca Di Ottavio; Nicole Sikora; Emmanuel O. Elijah; Lara Labarta-Bajo; Emily C. Gentry; Shabnam Shalapour; Kathleen E. Kyle; Sara P. Puckett; Jeramie D. Waltrous; Carolina S. Carpenter; Amina Bouslimani; Madeleine Ernst; Austin D. Swafford; Elina I. Zúñiga; Marcy J. Balunas; Jonathan L. Klassen; Rohit Loomba; Rob Knight; Nuno Bandeira; Pieter C. Dorrestein
• Length: 4 pages
• Grant Number(s): 2015-DN-BX-K047
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical)

Annotation

This article introduces a web-enabled mass spectrometry (MS) search engine, named Mass Spectrometry Search Tool (MASST; https://masst.ucsd.edu). 

Abstract

By enabling searches of all small-molecule tandem MS (MS/MS) data in public metabolomics repositories, the authors posit that MASST will unlock these resources for clinical, environmental and natural product applications. Access options and data availability are reported. (publisher abstract modified)