Modern methods for transcriptome reconstruction

The development of novel high-throughput sequencing technologies allows the determination of the complete set of RNA-transcripts expressed under a given condition. Accurate and efficient computational methods are needed to uncover the full potential of the immense amount of data that is generated by these technologies. Our research group focuses on the analyses of transcriptome data using modern „Machine Learning“ algorithms, providing a better insight into the relation of genetic information and phenotypic traits of individuals.