BIOINFORMATICS
Our bioinformaticians are ready to support your projects, irrespective of your Bio-IT skills.
In order to meet your demands, we are reinforcing and expanding Bio-IT expertise, both on the Brussels Health Campus (Jette) as interuniversity (IB²).
BioIT team
+32 (0)2 477 64 79 (sec)
UZ Brussel
BRIGHTcore
Laarbeeklaan 101
1090 Brussels
What we offer
We provide standardized validated bioinformatics pipelines for whole genome, whole exome, panels analysis, RNAseq and NIPT.
Depending on your needs we can provide the raw data (fastq), alignment file (bam), called variant/indels files (vcf) and variant annotation (Alamut Batch).
We can also perform custom bioinformatics data analysis on demand.
Data security is our top priority. The bioinformatics analysis are processed on our in-house infrastructure (computer grid and storage) in a secure IT facility with disk mirroring, and backup.
Data transfer can be done via internet download (eg. Belnet FileSender), SFTP or through external disk drives.
Our expertise
Meet our bioinformatics team below & filter on their respective expertise/skills.
Settle an appointment using the button below.
Bruno Hinckel
Python, Conda, Snakemake, Structural variant analysis
Catharina Olsen
R, Machine Learning, R Shiny apps, Transcriptomics, Methylation (array & sequencing), Genomics (WGS; WES; gene-panel data analysis - germline & somatic), Docker & Nextflow, VSC (Hydra)
Dorien Daneels
Bash, Perl, Python, R, Genomics (WGS; WES; gene-panel data analysis; mtDNA), Variant interpretation germline & somatic
Hideo Imamura
Python, Perl, R, Pathogen genomics (DNA; RNA; phylogenetics; de novo assembly; annotation; etc), Microbiome: ampliseq (16S; ITS etc)/Metagenomics (WGS), Comparative genomics, CNV & SV, Monte Carlo simulation, VSC (Hydra)
Jack Brons
Python, R, Transcriptomics (Bulk; Single-cell), Machine Learning, Survival Analysis, Gene Signature Creation
Sofia Papadimitriou
Python, Genomics (WGS; WES; gene-panel data analysis), Variant interpretation, Machine Learning
Stefaan Verhulst
R, Python, Bash, C#, Transcriptomics (Bulk; Single-cell; Spatial), Epigenomics ((sc)ATACseq), Metabolomics (global and targeted), Machine Learning (Random Forest and SVM), R Shiny apps, Microscope image analysis (cleaning; segmentation; quantification), VSC (Hydra)
Free data analysis software
Our clients can freely use Qiagen Ingenuity Pathway Analysis on datasets generated by BRIGHTcore.
For data generated externally, we calculate a fee of 120€ excl. VAT per dataset.
This software can be consulted in our BioIT offices.
Want to get started? Contact us!