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Ben Neely (Fed)

Ben Neely’s work is directly related to NIST’s core mission of supporting commerce by advancing and harmonizing measurement science as well as developing resources for stakeholders to accelerate research capabilities. His current research includes development of new materials for *omic applications and generating standardized proteomic data across non-model species as part of the CoMPARe Program (Comparative Mammalian Proteome Aggregator Resource). Acquiring high-quality *omic data from non-model organisms is especially exciting given the challenges of sequencing and annotating genomes, acquiring samples, and developing computational tools to compare results across species. His other primary focus is emerging proteomic applications, specifically working with stakeholders to optimize and standardize methods for data-independent acquisition and metaproteomic analysis. These projects are generating publicly available standardized methods, data, and data mining tools.

Publications

Results from a multi-laboratory ocean metaproteomic intercomparison: effects of LC-MS acquisition and data analysis procedures

Author(s)
Mak Saito, Jaclyn Saunders, Matthew McIlvin, Erin Bertrand, John Breier, Margaret Brisbin, Sophie Colston, Jaimee Compton, Tim Griffin, Judson Harvey, Robert Hettich, Pratik Jagtap, Michael Janech, Rod Johnson, Rick Keil, Hugo Kleikamp, Dasha Leary, Scott McCain, Eli Moore, Subina Mehta, Dawn Moran, Jacqui Neibauer, Benjamin Neely, Michael Jakuba, Jim Johnson, Megan Duffy, Gerhard Herndl, Richard Giannone, Ryan Mueller, Brook Nunn, Martin Pabst, Samantha Peters, Andrew Rajczewski, Elden Rowland, Brian Searle, Tim Van Den Bossche, Gary Vora, Jacob Waldbauer, Haiyan Zheng, Zihao Zhao
Metaproteomics is an increasingly popular methodology that provides information regarding the metabolic functions of specific microbial taxa and has potential

The Proteomics Standards Initiative standardized formats for spectral libraries and fragment ion peak annotations: mzSpecLib and mzPAF

Author(s)
Joshua Klein, Henry Lam, Tytus Mak, Wout Bittremieux, Yasset Perez-Riverol, Ralf Gabriels, Jim Shofstahl, Helge Hecht, Pierre-Alain Binz, Shin Kawano, Tim Van Den Bossche, Jeremy Carver, Ben Neely, Luis Mendoza, Tomi Suomi, Tine Claeys, Thomas Payne, Douwe Schulte, Zhi Sun, Nils Hoffmann, Yunping Zhu, Steffen Neumann, Andrew Jones, Nuno Bandeira, Juan Antonio Vizcaino, Eric Deutsch
Mass spectral libraries are collections of reference spectra, usually associated with specific analytes from which the spectra were generated, that are used for

Comprehensive Overview of Bottom-Up Proteomics using Mass Spectrometry

Author(s)
Yuming Jiang, Devasahayam Rex, Dina Schuster, Ben Neely, German Rosano, Norbert Volkmar, Amanda Momenzadeh, Trenton Peters-Clarke, Susan Egbert, Simion Kreimer, Emma Doud, Oliver Cook, Amit Yadav, Muralidharan Vanuopadath, Martin Mayta, Anna Duboff, Nicholas Riley, Robert Moritz, Jesse Meyer
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun
Created October 9, 2019, Updated December 8, 2022