ArticleJournal of proteome research2025
FastSpel: A Method for Fast Spectral Library Generation.
Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Carafe2 enables high qualitybioRxiv : the preprint server for biology · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Recently, several methods have been proposed for predicting peptide MS/MS fragment intensity profiles. These predicted profiles may be used for generating spectral libraries for data-independent acquisition analysis, or for improving peptide identification by rescoring the peptide-spectra matches identified by search engines such as MaxQuant. Although some of the proposed intensity prediction methods generate high quality spectral libraries and significantly improve peptide identification, they are computationally expensive and their parameters are difficult to interpret. In this paper, we introduce FastSpel (
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Registered trials
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.