A Peptide-Level Fully Annotated Data Set for Quantitative Evaluation of Precursor-Aware Mass Spectrometry Data Processing Algorithms.

Henning, Jessica; Tostengard, Annika; Smith, Rob

Henning, Jessica; Tostengard, Annika; Smith, Rob.

Affiliation

Henning J; Department of Computer Science , University of Montana , Missoula , Montana 59812 , United States.
Tostengard A; Department of Computer Science , University of Montana , Missoula , Montana 59812 , United States.
Smith R; Department of Computer Science , University of Montana , Missoula , Montana 59812 , United States.

J Proteome Res ; 18(1): 392-398, 2019 01 04.

Article in En | MEDLINE | ID: mdl-30394759

Subject(s)

Algorithms; Mass Spectrometry/methods; Peptides/analysis; Proteomics/methods; Data Curation; Workflow

Key words

LC-MS ground truth; Mass spectrometry; UPS2; XIC; XIC feature detection; benchmark data; feature detection; ground truth; proteomics; quantitative evaluation

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Full text: 1 Database: MEDLINE Main subject: Peptides / Mass Spectrometry / Algorithms / Proteomics Type of study: Prognostic_studies Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2019 Type: Article Affiliation country: United States

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