Services description

We tailor the analyses on our clients’ needs. Fill in the form on the sidebar and send it via email to binf(at)boku.ac.at telling us something about your project: we will schedule a meeting with you and to discuss the details.

Genomics and Metagenomics

Modern sequencing technologies generates enormous throughput of high quality and long reads that enable researchers to reconstruct genomes of from single key organisms to whole microbiomes. The analysis of the ensuing genetic information allows to investigate the metabolic and phenotypic potential of any living organism as well as studying their taxonomic and phylogenetic profiles or even eco-evolutional patterns. To help you unlock the potential of genomic and metagenomic analyses in your current research, we offer several workflows aimed for the reconstruction of genomes and metagenomes of Eukaryotes, Bacteria and Archaea. We can deal with a wide range of sequencing technologies and implement the most efficient and up-to-date tools for critical steps like assembly, binning, strain detection in mixed population.

We can also support with downstream analyses to help you translating multidimensional genomic information into list of gene pathways, functional traits, or metabolic network reconstruction. By deploying advanced statistic (e.g. artificial intelligence algorithm, time-series deconvolution) and modeling (e.g. joint-species distribution and empirical dynamic modeling), we can help you link the genomic and metagenomic information with data acquired in lab and field experiments, or with environmental data.

Transcriptomics and Epigenomics

RNASeq methods currently offer the most comprehensive approach to studying the transcriptome. Studying the transcriptome provides detailed insight into the regulation of transcription under specific conditions or allows annotating the coding part of the genome. We offer analyses such as transcriptome assembly of short and long reads, differential gene expression analysis, functional profiling and gene set enrichment analysis, and analysis of differential splice events. We can also provide services for specific analysis, such as ribosome profiling, translational activity, and single-cell transcriptome analysis.

The study of epigenetic regulation and its profile is also applied in the analyses of genome activity regulation. We offer services in comparative methylation status and histone modifications of sequencing-based assays.

Proteomics and Metabolimics

The Core Facility of Bioinformatics provide services for mass spectrometry-based data analysis of small molecules, metabolites and lipids. With expertise in cheminformatics and computational methods for metabolite and lipid identification, the service tailored analysis strategies for targeted and untargeted mass spectrometric data applicable to clinical or non-clinical samples. We perform qualitative as well as quantitative data analysis of complex proteomes and the identification of post-translational modifications (PTMs). Statistical data analysis includes PCA, whisker plots, heat maps, machine learning models for phenotype data analysis (multi-omics approach).

Image Analysis

In microscopic image analysis digital images are systematically examined. We are partnering with the Core Facility of Multimodal Imaging and they can help you to find the suitable settings for your experiment. Due to the dimensional complexity (height, width, depth, channels, time) image data has a considerable size. We have the capacity to store and analyze these images. On one hand, this allows various structures to be recognized qualitatively; on the other hand, each pixel contains color or brightness information that allows for quantitative statements. Our focus is on Artificial Intelligence and deep learning – anything that goes beyond basic image analysis.