Lindsay K. Pino
Molecular Biology · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 48 citations into it
- Spectroscopy — 45 citations into it
Whom Lindsay K. Pino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paola Picotti
- R. Aebersold
- Yoav Benjamini
- R. Craig
- John D. Venable
- Lukas Reiter
- Ludovic C. Gillet
- Chih-Chiang Tsou
- B. Domon
- Y. Hochberg
Who trusts Lindsay K. Pino overall
Papers from Lindsay K. Pino's perspective
Ordered by how strongly the researchers Lindsay K. Pino trusts endorse each paper. Same corpus, a different order for every researcher.
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- A common open representation of mass spectrometry data and its application to proteomics research (Nature Biotechnology)
- mProphet: automated data processing and statistical validation for large-scale SRM experiments (Nature Methods)
- Options and considerations when selecting a quantitative proteomics strategy (Nature Biotechnology)
- Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics (Cell)
- MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (Bioinform.)
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Mass spectrometry–based proteomics turns quantitative (Nature Chemical Biology)
- Selected reaction monitoring for quantitative proteomics: a tutorial (Molecular Systems Biology)
- Open source system for analyzing, validating, and storing protein identification data. (Journal of Proteome Research)