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Stephen Tanner

Researcher at University of California, San Diego

Publications -  12
Citations -  1874

Stephen Tanner is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Proteome & Gene prediction. The author has an hindex of 11, co-authored 12 publications receiving 1802 citations. Previous affiliations of Stephen Tanner include University of California, Los Angeles & Ludwig Institute for Cancer Research.

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InsPecT: identification of posttranslationally modified peptides from tandem mass spectra.

TL;DR: A tool is described, InsPecT, to identify posttranslational modifications using tandem mass spectrometry data, which identifies modified peptides with better or equivalent accuracy than other database search tools while being 2 orders of magnitude faster than SEQUEST, and substantially faster than X!TANDEM on complex mixtures.
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Identification of post-translational modifications by blind search of mass spectra

TL;DR: This work describes an unrestrictive PTM search algorithm, MS-Alignment, that searches for all types of PTMs at once in a blind mode, that is, without knowing which PTMs exist in nature.
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Clustering Millions of Tandem Mass Spectra

TL;DR: This work presents an efficient clustering approach for analyzing large MS/MS data sets (over 10 million spectra) with a capability to reduce the number of spectra submitted to further analysis by an order of magnitude.
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Improving gene annotation using peptide mass spectrometry

TL;DR: By searching a corpus of 18.5 million tandem mass spectra from human proteomic samples, this work validate 39,000 exons and 11,000 introns at the level of translation and demonstrates that proteomic profiling should play a role in any genome sequencing project.