Evidence map›Paper›PMID 33759252›Full record

ArticleRapid communications in mass spectrometry : RCM2021

MS Amanda 2.0: Advancements in the standalone implementation.

Viktoria Dorfer, Marina Strobl, Stephan Winkler, Karl Mechtler

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Divergent Molecular Responses to Heavy Water inPlants (Basel, Switzerland) · 2024
    Article
  6. Article
  7. Article
  8. AI-Assisted Processing Pipeline to Boost Protein Isoform Detection.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. MS Amanda 2.0: Advancements in the standalone implementation.Rapid communications in mass spectrometry : RCM · 2021
    Article
  13. 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

4 authors.

Viktoria DorferBioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.ORCID https://orcid.org/0000-0002-5332-5701
Marina StroblBioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
Stephan WinklerBioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.ORCID https://orcid.org/0000-0002-5196-4294
Karl MechtlerInstitute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Campus-Vienna-Biocenter 1, Vienna, 1030, Austria.ORCID https://orcid.org/0000-0002-3392-9946

Funding

Austrian Science Fund ERA-CAPS I 3686Horizon 2020 Framework Programme 823839University of Applied Sciences Upper Austria Basic Research (PPI-ID)
6 · The paper itself

Abstract

rationaleDatabase search engines are the preferred method to identify peptides in mass spectrometry data. However, valuable software is in this context not only defined by a powerful algorithm to separate correct from false identifications, but also by constant maintenance and continuous improvements.

methodsIn 2014, we presented our peptide identification algorithm MS Amanda, showing its suitability for identifying peptides in high-resolution tandem mass spectrometry data and its ability to outperform widely used tools to identify peptides. Since then, we have continuously worked on improvements to enhance its usability and to support new trends and developments in this fast-growing field, while keeping the original scoring algorithm to assess the quality of a peptide spectrum match unchanged.

resultsWe present the outcome of these efforts, MS Amanda 2.0, a faster and more flexible standalone version with the original scoring algorithm. The new implementation has led to a 3-5× speedup, is able to handle new ion types and supports standard data formats. We also show that MS Amanda 2.0 works best when using only the most common ion types in a particular search instead of all possible ion types.

conclusionsMS Amanda is available free of charge from https://ms.imp.ac.at/index.php?action=msamanda.

Indexed as

AlgorithmsMass SpectrometrySoftwareDatabases, FactualPeptidesPhotochemistryUltraviolet RaysPeptides

Identifiers

PMID33759252
PMCPMC8244010

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.