text2Currently our main focus is in High Throughput Sequencing (HTS) analysis, ranging from RNA-seq, over ChIP-seq, to variant and methylation calling. Next to the data analysis, we also provide expertise in setting up your experiment (see also biostatistics) and identifying the appropriate technology for you research question.

While we develop the analysis pipelines command line, we provide standard workflows through a user-friendly interface in Galaxy. For RNA-seq this workflow involves preprocessing of the raw data, mapping of the reads to the genome and summarize to a count table. By providing a user-friendly graphical environment, instead of command line usage of our high-memory computing cluster (which requires in-depth knowledge of unix), we enable wetlab scientists to perform these analyses themselves. For the statistical correct processing of your data, we offer solutions through consultancy.

Next to HTS analysis, we also provide a broad expertise in bioinformatics analyses. We can offer help in computationally solving systems biology problems such as gene network inference, gene set enrichment, gene annotation, etc. Besides this, our team is also experienced in using modeling approaches to solve a wide range of biological problems. General methodologies typically applied are clustering, regression and classification. With years of experience, we can also provide custom software or scripts to improve and automate your analysis. We apply different programming languages tailored to the analysis: python, java, perl, R, php, javascript, ... If you have further questions, This email address is being protected from spambots. You need JavaScript enabled to view it. with us!