Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,367

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

DTASelect and Contrast: Tools for Assembling and Comparing Protein Identifications from Shotgun Proteomics

Open access
Tabb, David L., McDonald, W. Hayes, Yates, John R.·2002·Journal of Proteome Research

Abstract

The components of complex peptide mixtures can be separated by liquid chromatography, fragmented by tandem mass spectrometry, and identified by the SEQUEST algorithm. Inferring a mixture's source proteins requires that the identified peptides be reassociated. This process becomes more challenging as the number of peptides increases. DTASelect, a new software package, assembles SEQUEST identifications and highlights the most significant matches. The accompanying Contrast tool compares DTASelect results from multiple experiments. The two programs improve the speed and precision of proteomic data analysis. Keywords: proteomics • protein identification • SEQUEST • data analysis • software • differential analysis • subtractive analysis • MudPIT • assembly

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/pr015504q

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 1,367

Metadata

Authors
Tabb, D. L., McDonald, W. H., & Yates, J. R.
Venue
Journal of Proteome Research
Published
2002-01-07
Volume
1
Issue
1
Pages
21-26
ISSN
  • 1535-3893 (ISSN-L)
  • 1535-3907
OpenAlex
W1990299806
Cited by
1,367
References
1
FWCI
22.63
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: DTASelect and Contrast: Tools for Assembling and Comparing Protein Identifications from Shotgun Proteomics. https://app.cochat.ai/papers/10.1021/pr015504q
The paper
Tabb, D. L., McDonald, W. H., & Yates, J. R. (2002). DTASelect and Contrast: Tools for Assembling and Comparing Protein Identifications from Shotgun Proteomics. Journal of Proteome Research. https://doi.org/10.1021/pr015504q

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.