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The Study

Limelight: An Open, Web-Based Tool for Visualizing, Sharing, and Analyzing Mass Spectrometry Data from DDA Pipelines

In simple terms

This study is like showing off a new app for organizing photos. It explains what the app can do and shows a few examples, but it doesn't test whether it's better than other apps or prove it changes how people see photos. It's mostly a description of a new tool.

0%

Analysis score

0/ 0

Maximum 0 for a computational/algorithm study.

Where the score came from

Reporting60
Methodology1
Publication100
Statistical0
Study type (basis of the score)
Computational/Algorithm Study
Level 5 - Expert opinion
What’s the bottom line?

Researchers created Limelight, a free web tool that acts like a universal translator and dashboard for complex mass spectrometry data. It lets scientists view, compare, and share results from different computer programs without having to redo their work or convert files.

Where does this study sit?

Reviews of RCTs (Meta-analyses)

Max 100

Randomized Trials

Max 90

Reviews of Cohort Studies

Max 85

Cohort Studies

Max 72

Reviews of Case-Control Studies

Max 63

Case-Control Studies

Max 58

Cross-Sectional & Case Series

Max 50

Expert Opinion

Max 5
StrongerWeaker
Expert Opinion
Level 5
0

0 / 100

Quality score

Based on clinical experience or non-systematic literature reviews. The lowest level of evidence as they are most susceptible to bias and personal perspective.

Cannot establish causation

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Key takeaways

Summary

Based on the study abstract and findings.

  1. 1Yes, it significantly simplifies data sharing and comparison in proteomics research, making complex mass spectrometry results more accessible and reproducible for scientists worldwide.
  2. 2Handles over 68 million peptide identifications and 487 million matches quickly on standard servers; supports multiple search software outputs natively; includes secure sharing and built-in tools to estimate total peptide coverage.

Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data

Publication

Journal

Journal of Proteome Research

Year

2025

Authors

Michael Riffle, A. Zelter, Daniel Jaschob, M. Hoopmann, Danielle A. Faivre, Robert L. Moritz, Trisha N. Davis, M. MacCoss, N. Isoherranen

Open Access
1 citations
Analysis v5
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