Current analyzers are able to rapidly assess the proteome in a sample. With a few developmental steps in the field of simplification and standardization, introduction in clinical microbiology is only hampered by the lack of automated data interpretation. Until now proteome analysis of micro-organisms is cumbersome because existing data analysis software is developed from the premise that the proteome of one particular type of eukaryotic cell is studied. Therefore, it was our goal to realize a microbiology tuned proteome interpreter. To help you interpret complex microbiologic proteomics data and provide trustworthy answers to the (research) question that preceded the analysis. Our first achievement is the developed web application on this website, which is tailored to identify human bacterial pathogens.
We can imagine that a similar approach in other fields of microbiology (e.g. food-, water-, plant-microbiology or contamination control) precise identification of bacteria can be crucial, as well. Or you may have another research question or application in mind, which can perhaps be analyzed with a similar proteomic analysis approach. TNO and HORAIZON are open to all types of collaborations and / or co-developing project in the field of proteomics and identification of micro-organisms.