Brendan MacLean
Molecular Biology · 2012–2022
A researcher in the Science corpus: 10 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 137 citations into it; #11,976 of 17,773 by trust here, #7,298 by citations
- Spectroscopy — 117 citations into it; #1,061 of 1,674 by trust here, #418 by citations
Whom Brendan MacLean trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Brendan MacLean overall
Papers from Brendan MacLean's perspective
Ordered by how strongly the researchers Brendan MacLean trusts endorse each paper. Same corpus, a different order for every researcher.
- Stable Isotope Labeling by Amino Acids in Cell Culture, SILAC, as a Simple and Accurate Approach to Expression Proteomics* (Molecular & Cellular Proteomics)
- Computational prediction of proteotypic peptides for quantitative proteomics (Nature Biotechnology)
- Multiplexed Protein Quantitation in Saccharomyces cerevisiae Using Amine-reactive Isobaric Tagging Reagents*S (Molecular & Cellular Proteomics)
- A model for random sampling and estimation of relative protein abundance in shotgun proteomics. (Analytical Chemistry)
- Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma (Nature Biotechnology)
- More than 100,000 detectable peptide species elute in single shotgun proteomics runs but the majority is inaccessible to data-dependent LC-MS/MS. (Journal of Proteome Research)
- 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)
- Mass spectrometry–based proteomics turns quantitative (Nature Chemical Biology)
- Open source system for analyzing, validating, and storing protein identification data. (Journal of Proteome Research)
Their papers
- The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics (2019) — 653 citations
- MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments (2014) — 944 citations
- A Cross-platform Toolkit for Mass Spectrometry and Proteomics (2012) — 3,664 citations
- The Skyline Ecosystem: Informatics for Quantitative Mass Spectrometry Proteomics (2017) — 676 citations
- A multi-center study benchmarks software tools for label-free proteome quantification (2016) — 316 citations
- Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry (2018) — 474 citations
- Platform-independent and Label-free Quantitation of Proteomic Data Using MS1 Extracted Ion Chromatograms in Skyline (2012) — 419 citations
- The ProteomeXchange consortium at 10 years: 2023 update (2022) — 684 citations
- Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics (2020) — 471 citations
- Building high-quality assay libraries for targeted analysis of SWATH MS data (2015) — 303 citations