M. A. Spivak
Papers
1
Total Citations
32
H-Index
1
About
Michael A. Spivak is a prominent figure in computational proteomics, whose research centers on the development of advanced algorithms for protein identification from mass spectrometry data. His most cited work, "Direct Maximization of Protein Identifications from Tandem Mass Spectra" (2011), introduced a groundbreaking approach that bypasses traditional two-stage methods—first identifying peptides, then inferring proteins—by directly optimizing protein-level identifications from complex mixtures. This contribution has garnered 32 citations and fundamentally shifted how researchers tackle the challenge of characterizing complex biological samples, particularly in shotgun proteomics where maximizing protein coverage is critical. Spivak’s work addresses a persistent bottleneck in the field, enabling more accurate and comprehensive analysis of proteomes. Beyond this key paper, his research continues to influence the development of computational tools that enhance sensitivity and specificity in high-throughput proteomics. His achievements underscore a commitment to solving real-world biological problems through innovative algorithmic design, making his contributions essential reading for students and researchers seeking to understand the frontiers of protein identification and mass spectrometry data analysis.
Research Focus
Key Achievements
Top Papers
- 1Direct Maximization of Protein Identifications from Tandem Mass Spectra32 citations · 2011