Oases
Oases is a de novo transcriptome assembler that exploits similarities between de Bruijn graphs and splicing graphs to reconstructs full length mRNAs from RNA-Seq data with high sensitivity and is one of the most widely used methods in its class.
Authors
Marcel H. Schulz, PhD
(he/him)
Professor for Computational Biology
I am a Computational Biologist by education. I develop computational
systems biology models and machine learning algorithms that further
the understanding of gene regulation. We work on groundbreaking computational methods
that enable novel approaches for personalized medicine applications in the
context of different human diseases. We live and breathe open-source development.