Evidence map›Paper›PMID 24895379›Full record

ArticleMolecular & cellular proteomics : MCP2014

Computing exact p-values for a cross-correlation shotgun proteomics score function.

J Jeffry Howbert, William Stafford Noble

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Enhanced Proteomic Data Analysis with MetaMorpheus.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Article
  7. Article
  8. Considerations for constructing a protein sequence database for metaproteomics.Computational and structural biotechnology journal · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Controlling the FDR in imperfect matches to an incomplete database.Journal of the American Statistical Association · 2018
    Article
  15. Article
  16. Progressive calibration and averaging for tandem mass spectrometry statistical confidence estimation: Why settle for a single decoy?Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ) · 2017
    Article
  17. Article
  18. Article
  19. The SEQUEST family tree.Journal of the American Society for Mass Spectrometry · 2015
    Article
  20. A deeper look into Comet--implementation and features.Journal of the American Society for Mass Spectrometry · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

J Jeffry HowbertFrom the ‡Department of Genome Sciences, University of Washington, Seattle, Washington;
William Stafford NobleFrom the ‡Department of Genome Sciences, University of Washington, Seattle, Washington; §Department of Computer Science and Engineering, University of Washington, Seattle, Washington william-noble@uw.edu.

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

The core of every protein mass spectrometry analysis pipeline is a function that assesses the quality of a match between an observed spectrum and a candidate peptide. We describe a procedure for computing exact p-values for the oldest and still widely used score function, SEQUEST XCorr. The procedure uses dynamic programming to enumerate efficiently the full distribution of scores for all possible peptides whose masses are close to that of the spectrum precursor mass. Ranking identified spectra by p-value rather than XCorr significantly reduces variance because of spectrum-specific effects on the score. In combination with the Percolator postprocessor, the XCorr p-value yields more spectrum and peptide identifications at a fixed false discovery rate than Mascot, X!Tandem, Comet, and MS-GF+ across a variety of data sets.

Indexed as

AlgorithmsCaenorhabditis elegans ProteinsDatabases, ProteinHumansMyocardiumPeptidesProteomicsSaccharomyces cerevisiae ProteinsCaenorhabditis elegans ProteinsPeptidesSaccharomyces cerevisiae Proteins

Identifiers

PMID24895379
PMCPMC4159662

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.