speaq 2.0: A complete workflow for high-throughput 1D NMR spectra processing and quantification.

Authors: Charlie Beirnaert, Pieter Meysman, Trung Nghia Vu, Nina Hermans, Sandra Apers, Luc Pieters, Adrian Covaci, Kris Laukens

Source: PLoS Computational Biology, Vol 14, Iss 3, p e1006018 (2018)

Subject Terms: Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358

Access URL: https://doaj.org/article/4351e6e85db0452692eb968b843660be

Plasma donor-derived cell-free DNA kinetics after kidney transplantation using a single tube multiplex PCR assay.

Authors: Els M Gielis, Charlie Beirnaert, Amélie Dendooven, Pieter Meysman, Kris Laukens, Joachim De Schrijver, Steven Van Laecke, Wim Van Biesen, Marie-Paule Emonds, Benedicte Y De Winter, Jean-Louis Bosmans, Jurgen Del Favero, Daniel Abramowicz, Kristien J Ledeganck

Source: PLoS ONE, Vol 13, Iss 12, p e0208207 (2018)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/7e7af26579fd4a578bb50bfc39391899

The future of metabolomics in ELIXIR [version 2; referees: 2 approved, 1 approved with reservations]

Authors: Merlijn van Rijswijk, Charlie Beirnaert, Christophe Caron, Marta Cascante, Victoria Dominguez, Warwick B. Dunn, Timothy M. D. Ebbels, Franck Giacomoni, Alejandra Gonzalez-Beltran, Thomas Hankemeier, Kenneth Haug, Jose L. Izquierdo-Garcia, Rafael C. Jimenez, Fabien Jourdan, Namrata Kale, Maria I. Klapa, Oliver Kohlbacher, Kairi Koort, Kim Kultima, Gildas Le Corguillé, Pablo Moreno, Nicholas K. Moschonas, Steffen Neumann, Claire O’Donovan, Martin Reczko, Philippe Rocca-Serra, Antonio Rosato, Reza M. Salek, Susanna-Assunta Sansone, Venkata Satagopam, Daniel Schober, Ruth Shimmo, Rachel A. Spicer, Ola Spjuth, Etienne A. Thévenot, Mark R. Viant, Ralf J. M. Weber, Egon L. Willighagen, Gianluigi Zanetti, Christoph Steinbeck

Source: F1000Research, Vol 6 (2017)

Subject Terms: Chemical Biology of the Cell, Medicine, Science

File Description: electronic resource

Relation: https://f1000research.com/articles/6-1649/v2; https://doaj.org/toc/2046-1402

Access URL: https://doaj.org/article/c94085c689b54380a553c8703294e419

The future of metabolomics in ELIXIR [version 1; referees: 2 approved, 1 approved with reservations]

Authors: Merlijn van Rijswijk, Charlie Beirnaert, Christophe Caron, Marta Cascante, Victoria Dominguez, Warwick B. Dunn, Timothy M. D. Ebbels, Franck Giacomoni, Alejandra Gonzalez-Beltran, Thomas Hankemeier, Kenneth Haug, Jose L. Izquierdo-Garcia, Rafael C. Jimenez, Fabien Jourdan, Namrata Kale, Maria I. Klapa, Oliver Kohlbacher, Kairi Koort, Kim Kultima, Gildas Le Corguillé, Nicholas K. Moschonas, Steffen Neumann, Claire O’Donovan, Martin Reczko, Philippe Rocca-Serra, Antonio Rosato, Reza M. Salek, Susanna-Assunta Sansone, Venkata Satagopam, Daniel Schober, Ruth Shimmo, Rachel A. Spicer, Ola Spjuth, Etienne A. Thévenot, Mark R. Viant, Ralf J. M. Weber, Egon L. Willighagen, Gianluigi Zanetti, Christoph Steinbeck

Source: F1000Research, Vol 6 (2017)

Subject Terms: Chemical Biology of the Cell, Medicine, Science

File Description: electronic resource

Relation: https://f1000research.com/articles/6-1649/v1; https://doaj.org/toc/2046-1402

Access URL: https://doaj.org/article/7ec37540efbd4035ab14e9d3c1f69f4d

Compound Characterization and Metabolic Profile Elucidation after In Vitro Gastrointestinal and Hepatic Biotransformation of an Herniaria hirsuta Extract Using Unbiased Dynamic Metabolomic Data Analysis

Authors: Laura Peeters, Anastasia Van der Auwera, Charlie Beirnaert, Sebastiaan Bijttebier, Kris Laukens, Luc Pieters, Nina Hermans, Kenn Foubert

Source: Metabolites, Vol 10, Iss 3, p 111 (2020)

Subject Terms: herniaria hirsuta, caryophyllaceae, saponins, urolithiasis, machine learning, dynamic metabolomics, Microbiology, QR1-502

File Description: electronic resource

Relation: https://www.mdpi.com/2218-1989/10/3/111; https://doaj.org/toc/2218-1989

Access URL: https://doaj.org/article/781201b33d59412f8e0f058924f64432

Exposure of HepaRG Cells to Sodium Saccharin Underpins the Importance of Including Non-Hepatotoxic Compounds When Investigating Toxicological Modes of Action Using Metabolomics

Authors: Matthias Cuykx, Charlie Beirnaert, Robim Marcelino Rodrigues, Kris Laukens, Tamara Vanhaecke, Adrian Covaci

Source: Metabolites, Vol 9, Iss 11, p 265 (2019)

Subject Terms: in vitro, heparg, sodium saccharin, reference toxicants, Microbiology, QR1-502

File Description: electronic resource

Relation: https://www.mdpi.com/2218-1989/9/11/265; https://doaj.org/toc/2218-1989

Access URL: https://doaj.org/article/47bdbe4e0e80476ba5d6a4f18912c771

Using Expert Driven Machine Learning to Enhance Dynamic Metabolomics Data Analysis

Authors: Charlie Beirnaert, Laura Peeters, Pieter Meysman, Wout Bittremieux, Kenn Foubert, Deborah Custers, Anastasia Van der Auwera, Matthias Cuykx, Luc Pieters, Adrian Covaci, Kris Laukens

Source: Metabolites, Vol 9, Iss 3, p 54 (2019)

Subject Terms: machine learning, dynamic metabolomics, data simulation, Microbiology, QR1-502

File Description: electronic resource

Relation: https://www.mdpi.com/2218-1989/9/3/54; https://doaj.org/toc/2218-1989

Access URL: https://doaj.org/article/58fb1c6ba83041e5b127fec90ffb918e