Evidence map›Paper›PMID 39436595›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Comprehensive Peptide Mapping Is Crucial for Proteogenomics and Proteomics.

Jens Allmer

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jens AllmerMedical Informatics and Bioinformatics, Institute for Measurement Engineering and Sensor Technology, Hochschule Ruhr West, University of Applied Sciences, Mülheim adR., Germany. jens@allmer.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteogenomics enables the confirmation and refinement of gene models, the detection of new ones, and the proposition of alternative transcripts using support at the protein level. Such evidence is usually generated using mass spectrometry and subsequent result mapping to various sequence databases. This workflow entails several problems: (1) To speed up the analysis, only a small set of expected proteins is searched; (2) database search tools generally do not provide mapping to the genome; and (3) upon new releases of the sequence databases, expensive rerunning of all results would need to be performed. Therefore, fast and accurate peptide mapping is needed as part of proteogenomic pipelines. Unfortunately, some available tools have technical shortcomings. Thus, a set of test cases was developed to allow tool developers to test their implementations comprehensively. The need for comprehensive testing is exemplified by PGx and PGM, two published tools that could only solve a subset of test cases. Lelantos passed all test cases. A set of comprehensive test cases has been developed to overcome these issues. Many unpublished peptide mapping tools are part of proteogenomic workflows, and such tools would also benefit from comprehensive testing. Finally, peptide mapping may also be crucial for proteomics because sequence databases change over time. In response, peptide remapping should be performed to ensure that peptides identifying a protein are proteotypic in a larger sequence context.

Indexed as

Peptide MappingProteogenomicsProteomicsSoftwareComputational BiologyDatabases, ProteinHumansMass SpectrometryPeptidesWorkflowPeptidesPeptide identificationPeptide mappingPeptide spectrum matchProteogenomicsQuality assessment

Identifiers

PMID39436595

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.