Laboratory Automated Interrogation of Data: an interactive web application for visualization of multilevel data from biological experiments.
R Shiny
automatization
data
statistics
visualization
Journal
Brain communications
ISSN: 2632-1297
Titre abrégé: Brain Commun
Pays: England
ID NLM: 101755125
Informations de publication
Date de publication:
2024
2024
Historique:
received:
19
12
2023
revised:
19
12
2023
accepted:
28
02
2024
medline:
14
3
2024
pubmed:
14
3
2024
entrez:
14
3
2024
Statut:
epublish
Résumé
A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated and facile way to visualize and interrogate such multilevel data, across many experimental variables, would (i) lead to improved understanding of the results, (ii) help to avoid misleading interpretation of statistics and (iii) easily identify outliers and sources of batch and confounding effects. While many excellent graphing solutions already exist, they are often geared towards the production of publication-ready plots and the analysis of a single variable at a time, require programming expertise or are unnecessarily complex for the task at hand. Here, we present Laboratory Automated Interrogation of Data (LAB-AID), an interactive tool specifically designed to automatically visualize and query hierarchical data resulting from biological experiments.
Identifiants
pubmed: 38482372
doi: 10.1093/braincomms/fcae074
pii: fcae074
pmc: PMC10935641
doi:
Types de publication
Journal Article
Langues
eng
Pagination
fcae074Informations de copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.
Déclaration de conflit d'intérêts
The authors report no competing interests.