Evidence map›Paper›PMID 34919405›Full record

ArticleJournal of proteome research2022

Skyline Batch: An Intuitive User Interface for Batch Processing with Skyline.

Alexandra N Marsh, Vagisha Sharma, Surya K Mani, Olga Vitek, Michael J MacCoss, Brendan X MacLean

Abstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Article
  5. Observational
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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

6 authors.

Alexandra N MarshGenome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-2142-6978
Vagisha SharmaGenome Sciences, University of Washington, Seattle, Washington 98195, United States.
Surya K ManiGenome Sciences, University of Washington, Seattle, Washington 98195, United States.
Olga VitekKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts 02115, United States.
Michael J MacCossGenome Sciences, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0003-1853-0256
Brendan X MacLeanGenome Sciences, University of Washington, Seattle, Washington 98195, United States.

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Seattle Quant: A Resource for the Skyline Software EcosystemR24GM141156 · NIGMS · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 2021 to 2026
$6.7M
NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R24 GM141156
6 · The paper itself

Abstract

Skyline Batch is a newly developed Windows forms application that enables the easy and consistent reprocessing of data with Skyline. Skyline has made previous advances in this direction; however, none enable seamless automated reprocessing of local and remote files. Skyline keeps a log of all of the steps that were taken in the document; however, reproducing these steps takes time and allows room for human error. Skyline also has a command-line interface, enabling it to be run from a batch script, but using the program in this way requires expertise in editing these scripts. By formalizing the workflow of a highly used set of batch scripts into an intuitive and powerful user interface, Skyline Batch can reprocess data stored in remote repositories just by opening and running a Skyline Batch configuration file. When run, a Skyline Batch configuration downloads all necessary remote files and then runs a four-step Skyline workflow. By condensing the steps needed to reprocess the data into one file, Skyline Batch gives researchers the opportunity to publish their processing along with their data and other analysis files. These easily run configuration files will greatly increase the transparency and reproducibility of published work. Skyline Batch is freely available at https://skyline.ms/batch.url.

Indexed as

SoftwareUser-Computer InterfaceHumansReproducibility of ResultsWorkflowdata analysismass spectrometryreprocessingreproducibleSkylinesoftwareworkflow

Identifiers

PMID34919405
PMCPMC8749956

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.