179 citations · 294 across the 6 of their papers we have counts for
6 papers
Sampling the proteome by emerging single-molecule and mass-spectrometry methods
Michael J. MacCoss, Javier Alfaro, Meni Wanunu +2
Mammalian cells have about 30,000-fold more protein molecules than mRNA molecules. This larger number of molecules and the associated larger dynamic range have major implications i…
Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments
Laurent Gatto, Ruedi Aebersold, Juergen Cox +18
Analyzing proteins from single cells by tandem mass spectrometry (MS) has become technically feasible. While such analysis has the potential to accurately quantify thousands of pro…
New views of old proteins: clarifying the enigmatic proteome
Participants in a NIH Workshop on Functional, Integrative Proteomics, : +20
All human diseases involve proteins, yet our current tools to characterize and quantify them are limited. To better elucidate proteins across space, time, and molecular composition…
Ripple: A Practical Declarative Programming Framework for Serverless Compute
Shannon Joyner, Michael MacCoss, Christina Delimitrou +1
Serverless computing has emerged as a promising alternative to infrastructure- (IaaS) and platform-as-a-service (PaaS)cloud platforms for applications with ample parallelism and in…
On the feasibility and utility of exploiting real time database search to improve adaptive peak selection
Benjamin J. Diament, Michael J. MacCoss, William Stafford Noble
Rationale: In a shotgun proteomics experiment with data-dependent acquisition, real-time analysis of a precursor scan results in selection of a handful of peaks for subsequent isol…
A nested mixture model for protein identification using mass spectrometry
Qunhua Li, Michael J. MacCoss, Matthew Stephens
Mass spectrometry provides a high-throughput way to identify proteins in biological samples. In a typical experiment, proteins in a sample are first broken into their constituent p…