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Gwendolien Sergeant

dblp:236/1407 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-9869-3826ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics › live cell imaging analysis
cell motility analysis
0.412019
DoRes within CellMissy: dose-response analysis on cell migration and related data · Bioinform. 2019
Bioinformatics and computational biology › biostatistics
dose-response analysis
0.412019
DoRes within CellMissy: dose-response analysis on cell migration and related data · Bioinform. 2019

Methods — techniques the papers use, named apart from their topics

non-linear curve fitting · 0.4
YearPublicationVenuePosition
2019 DoRes within CellMissy: dose-response analysis on cell migration and related data
abstract
SUMMARY: In cancer research, cell-based assays are used to assess cell migration and invasion. The major bottleneck is the lack of automated tools to visualize and analyse the large amounts of biological dose-response data produced. To address this challenge, we have developed an automated and free software package for dose-response analyses, DoRes, which is released as an add-on of the freely available and open-source tool CellMissy, dedicated to the management and analysis of cell migration data. DoRes implements non-linear curve fitting functionality into a robust, user-friendly and flexible software package with the possibility of importing a tabular file or starting from a cell migration experiment. We demonstrate the ability of the software by analysing public dose-response data and a typical cell migration experiment, and show that the extracted dose-response parameters and the calculated statistical values are consistently comparable to those of the widely used, commercial software GraphPad Prism. AVAILABILITY AND IMPLEMENTATION: The software here presented is a new module in CellMissy, an open-source and cross-platform package dedicated to the management, storage and analysis of cell migration data. The new module is written in Java, and inherits the cross-platform support from CellMissy. Source code and binaries are freely available under the Apache2 open-source licence at https://github.com/compomics/cellmissy/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Gwendolien Sergeant, Lennart Martens, Marleen Van Troys, Paola Masuzzo
Bioinform.1