Bram Slabbinck

No current affiliation with UGent

Show Sort by

Add to list
- Journal Article
- A1
- open access
Plant-RRBS, a bisulfite and next-generation sequencing-based methylome profiling method enriching for coverage of cytosine positions

Martin Schmidt, Michiel Van Bel (UGent) , Magdalena Woloszynska (UGent) , Bram Slabbinck (UGent) , Cindy Martens (UGent) , Marc De Block, Frederik Coppens (UGent) and Maria Van Lijsebettens (UGent)

(2017) BMC PLANT BIOLOGY. 17.
Add to list
- Journal Article
- A1
- open access
Leaf growth response to mild drought : natural variation in Arabidopsis sheds light on trait architecture

Pieter Clauw (UGent) , Frederik Coppens (UGent) , Arthur Korte, Dorota Herman (UGent) , Bram Slabbinck (UGent) , Stijn Dhondt (UGent) , Twiggy Van Daele (UGent) , Liesbeth De Milde (UGent) , Mattias Vermeersch (UGent) , Katrien Maleux (UGent) , et al.

(2016) PLANT CELL. 28(10). p.2417-2434
Add to list
- Journal Article
- A1
- open access
Combined large-scale phenotyping and transcriptomics in maize reveals a robust growth regulatory network

Joke Baute (UGent) , Dorota Herman (UGent) , Frederik Coppens (UGent) , Jolien De Block (UGent) , Bram Slabbinck (UGent) , Matteo Dell'Acqua, Mario Enrico Pe, Steven Maere (UGent) , Hilde Nelissen (UGent) and Dirk Inzé (UGent)

(2016) PLANT PHYSIOLOGY. 170(3). p.1848-1867
Add to list
- Journal Article
- A1
- open access
Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population

Joke Baute (UGent) , Dorota Herman (UGent) , Frederik Coppens (UGent) , Jolien De Block (UGent) , Bram Slabbinck (UGent) , Matteo Dell'Acqua, Mario Enrico Pè, Steven Maere (UGent) , Hilde Nelissen (UGent) and Dirk Inzé (UGent)

(2015) GENOME BIOLOGY. 16.
Add to list
- Journal Article
- A1
- open access
Selection for improved energy use efficiency and drought tolerance in canola results in distinct transcriptome and epigenome changes

Aurine Verkest (UGent) , Marina Byzova (UGent) , Cindy Martens (UGent) , Patrick Willems (UGent) , Tom Verwulgen (UGent) , Bram Slabbinck (UGent) , Debbie Rombaut (UGent) , Jan Van de Velde (UGent) , Klaas Vandepoele (UGent) , Evi Standaert, et al.

(2015) PLANT PHYSIOLOGY. 168(4). p.1338-1350
Add to list
Supervised learning algorithms for multi-class classification problems with partial class memberships

Willem Waegeman (UGent) , Jan Verwaeren (UGent) , Bram Slabbinck (UGent) and Bernard De Baets (UGent)

(2011) FUZZY SETS AND SYSTEMS. 184(1). p.106-125
Add to list
Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning

Katrien De Bruyne (UGent) , Bram Slabbinck (UGent) , Willem Waegeman (UGent) , Paul Vauterin, Bernard De Baets (UGent) and Peter Vandamme (UGent)

(2011) SYSTEMATIC AND APPLIED MICROBIOLOGY. 34(1). p.20-29
Add to list
Análisis de Pseudomonas fitopatógenas usando métodos inteligentes de aprendizaje un enfoque general sobre taxonomía y análisis de ácidos grasos dentro del género Pseudomonas

Bram Slabbinck (UGent) , Bernard De Baets (UGent) , Peter Dawyndt (UGent) and Paul De Vos (UGent)

(2010) REVISTA MEXICANA DE FITOPATOLOGIA. 28(1).
Add to list
- Journal Article
- A1
- open access
From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification

Bram Slabbinck (UGent) , Willem Waegeman (UGent) , Peter Dawyndt (UGent) , Paul De Vos (UGent) and Bernard De Baets (UGent)

(2010) BMC BIOINFORMATICS. 11(1).
Add to list
- Conference Paper
- C3
Machine learning algorithms for coupling FAME and 16S rRNA data in bacterial species identification

Dries Van Audenhove (UGent) , Willem Waegeman (UGent) , Bram Slabbinck (UGent) , Peter Dawyndt (UGent) and Bernard De Baets (UGent)

(2009) 5th Benelux bioinformatics conference, Abstracts.
Add to list
- PhD Thesis
- open access
From learning taxonomies to phylogenetic learning: a computational approach to FAME-based bacterial species identification

Bram Slabbinck (UGent)

(2009)
Add to list
Towards large-scale FAME-based bacterial species identification using machine learning techniques

Bram Slabbinck (UGent) , Bernard De Baets (UGent) , Peter Dawyndt (UGent) and Paul De Vos (UGent)

(2009) SYSTEMATIC AND APPLIED MICROBIOLOGY. 32(3). p.163-176
Add to list
- Conference Paper
- C1
StrainInfo.net Web services: enabling microbiologic workflows such as phylogenetic tree building and biomarker comparison

Bert Verslyppe, Bram Slabbinck (UGent) , Wim De Smet (UGent) , Paul De Vos (UGent) , Bernard De Baets (UGent) and Peter Dawyndt (UGent)

(2008) 2008 IEEE Fourth International Conference on eScience. p.603-607
Add to list
- Journal Article
- A1
Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles

Bram Slabbinck (UGent) , Bernard De Baets (UGent) , Peter Dawyndt (UGent) and Paul De Vos (UGent)

(2008) ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY. 94(2). p.187-198
Add to list
- Journal Article
- A1
TaxonGap: a visualization tool for intra- and inter-species variation among individual biomarkers

Bram Slabbinck (UGent) , Peter Dawyndt (UGent) , M MARTENS, Paul De Vos (UGent) and Bernard De Baets (UGent)

(2008) BIOINFORMATICS. 24(6). p.866-867
Add to list
- Conference Paper
- C1
Genus-wide Bacillus species classification based on FAME profiles

Bram Slabbinck (UGent) , Bernard De Baets (UGent) , Peter Dawyndt (UGent) and Paul De Vos (UGent)

(2007) Proceedings of The Annual Belgian-Dutch Machine Learning Conference Benelearn 2007. p.157-158
Add to list
- Conference Paper
- C1
FAME-based Bacillus Species Identification using Artificial Neural Networks

Bram Slabbinck (UGent) , Peter Dawyndt (UGent) , Bernard De Baets (UGent) and Paul De Vos (UGent)

(2006) COMMUNICATIONS IN AGRICULTURAL AND APPLIED BIOLOGICAL SCIENCES. 71(1). p.259-262

Academic Bibliography

Bram Slabbinck

Plant-RRBS, a bisulfite and next-generation sequencing-based methylome profiling method enriching for coverage of cytosine positions

Leaf growth response to mild drought : natural variation in Arabidopsis sheds light on trait architecture

Combined large-scale phenotyping and transcriptomics in maize reveals a robust growth regulatory network

Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population

Selection for improved energy use efficiency and drought tolerance in canola results in distinct transcriptome and epigenome changes

Supervised learning algorithms for multi-class classification problems with partial class memberships

Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning

Análisis de Pseudomonas fitopatógenas usando métodos inteligentes de aprendizaje un enfoque general sobre taxonomía y análisis de ácidos grasos dentro del género Pseudomonas

From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification

Machine learning algorithms for coupling FAME and 16S rRNA data in bacterial species identification

From learning taxonomies to phylogenetic learning: a computational approach to FAME-based bacterial species identification

Towards large-scale FAME-based bacterial species identification using machine learning techniques

StrainInfo.net Web services: enabling microbiologic workflows such as phylogenetic tree building and biomarker comparison

Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles

TaxonGap: a visualization tool for intra- and inter-species variation among individual biomarkers

Genus-wide Bacillus species classification based on FAME profiles

FAME-based Bacillus Species Identification using Artificial Neural Networks

Contents

Support

Contact