Large-scale database searching using tandem mass spectra: Looking up the answer in the back of the book
By Rovshan G. Sadygov, Daniel Cociorva, John R. Yates III. Nature Methods, 2004
410 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/7337463a06377fc353dbae2be21a300158692ea6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Oliver Fiehn
- Tobias Kind
- Steven A. Carr
- Michael A. Gillette
- N. Rifai
- Do Yup Lee
- Pieter Mestdagh
- Jo Vandesompele
In Spectroscopy
- Oliver Fiehn
- Steven A. Carr
- Michael A. Gillette
- N. Rifai
- Tobias Kind
- Lennart Martens
- Do Yup Lee
- John K. Meissen
Citations in the corpus
- LipidBlast - in-silico tandem mass spectrometry database for lipid identification (2013, methodology): “Computer-Programs and tools and databases [24, 104, 218-260]”
- Protein biomarker discovery and validation: the long and uncertain path to clinical utility (2006, methodology): “Several software packages automate analysis of peptide tandem mass spectra and database searching to yield protein identification”
- LNCipedia: a database for annotated human lncRNA transcript sequences and structures (2012, background): “As standard identification strategies in proteomics are based on searching these spectra against protein sequence databases, such as UniProtKB/Swiss-Prot (26), they are implicitly unable to detect coding forms of lncRNAs, as they are not present in these databases.”
- Identification of lysine succinylation as a new post-translational modification (2010, background): “To map PTM sites, one or a few PTMs of interest are typically prespecified during the protein sequence alignment of MS/MS dat”
- The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra*S (2007, positive): “” The most common application for this class of software tools is so-called “shotgun” or “bottom-up” proteomics experiments (1) where a protein mixture of any complexity is digested with a proteolytic enzyme or reagent, the peptides are analyzed by tandem mass spectrometry, and then software of this”