Evidence map›Paper›PMID 31113359›Full record

ArticleBMC bioinformatics2019

DRfit: a Java tool for the analysis of discrete data from multi-well plate assays.

Andreas Hofmann, Sarah Preston, Megan Cross, H M P Dilrukshi Herath, Anne Simon, Robin B Gasser

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Andreas HofmannGriffith Institute for Drug Discovery, Griffith University, Nathan, Queensland, 4111, Australia. a.hofmann@griffith.edu.au.ORCID http://orcid.org/0000-0003-4408-5467
Sarah PrestonFaculty of Science and Technology, Federation University, Ballarat, Victoria, 3350, Australia.
Megan CrossGriffith Institute for Drug Discovery, Griffith University, Nathan, Queensland, 4111, Australia.
H M P Dilrukshi HerathDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria, 3010, Australia.
Anne SimonUniversité Claude Bernard Lyon 1, Bâtiment Curien, Villeurbanne and Laboratoire Chimie et Biologie des Membranes et des Nanoobjets, Université de Bordeaux, Pessac, France.
Robin B GasserDepartment of Veterinary Biosciences, Melbourne Veterinary School, The University of Melbourne, Parkville, Victoria, 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalyses of replicates in sets of discrete data, typically acquired in multi-well plate formats, is a recurring task in many contemporary areas in the Life Sciences. The availability of accessible cross-platform data analysis tools for such fundamental tasks in varied projects and environments is an important prerequisite to ensuring a reliable and timely turnaround as well as to provide practical analytical tools for student training.

resultsWe have developed an easy-to-use, interactive software tool for the analysis of multiple data sets comprising replicates of discrete bivariate data points. For each dataset, the software identifies the replicate data points from a defined matrix layout and calculates their means and standard errors. The averaged values are then automatically fitted using either a linear or a logistic dose response function.

conclusionsDRfit is a practical and convenient tool for the analysis of one or multiple sets of discrete data points acquired as replicates from multi-well plate assays. The design of the graphical user interface and the built-in analysis features make it a flexible and useful tool for a wide range of different assays.

Indexed as

SoftwareBiological Science DisciplinesData Interpretation, StatisticalUser-Computer InterfaceBiochemical assaysData analysisDose-response experimentsDrug discoveryEnzyme assays

Identifiers

PMID31113359
PMCPMC6528253

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LicenceCC BY
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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.