
Mechanism of action
Learn about how Epitherapeutics used NGS to elucidate the mechanism of action of their drug
VTT Technical Research Centre of Finland Ltd. was working on the development of industrial yeasts. In order to reliably modify a yeast genome, they had to determine the copy numbers of all of its genes.
We developed a custom analysis pipeline to infer gene copy numbers from read fraction information. From this information we estimated the ploidy of each chromosomal segment.
The ploidy information was successfully used to guide genomic modifications.
Learn about how Epitherapeutics used NGS to elucidate the mechanism of action of their drug
Learn about how Ark Therapeutics ensured their lead molecule had no significant genomic off-targets
Learn about how a university hospital streamlined their analysis of NGS data
Learn about how Modern Diagnostics found a fast and flexible bioinformatics solution
Learn about how Roal got multiple new product candidates using NGS
Learn about how a research organization successfully outsourced computational analyses in the development of a genomically modified yeast strain
Learn about how a research group uncovered time-wise gene expression patterns
Learn about how a biologist learned to analyze her RNA-seq data
Learn about how a research group at the University of Helsinki got an assembled and annotated genome of the non-model insect that they study
Learn about how an NGS service provider brushed up on their bioinformatics know-how
Learn about how a research group at Lund University got a state-of-the-art predictive model utilizing gene expression and clinical data from over 4000 patient samples
Learn about how a research group at the University of Turku found a solution for their recurring bioinformatics needs for ChIP-seq analysis
Learn about how Mylab took their first step toward genomic data management
Learn about how Roal entered the world of high-throughput genomics
Learn about how researchers at the University of Tampere ensured that they get the most out of their DNA-seq data
Learn about how a research group with limited bioinformatics resources got flexible expert support for their analyses
Learn about how Pharmatest ensured that their cell lines are exactly what they are supposed to be
Learn about how TATAA Biocenter could provide fast, yet customized bioinformatics support for their client
Learn about how a plant biology group solved their data analysis bottleneck
Learn about how the genetic modification of a disease model was validated
Learn about how a research group from the University of Oslo got their copy number data analyzed and interpreted in just a few weeks
Learn about how large datasets can be easily shared and explored with a web-based platform