Publications by authors named "Julia Schirmacher"
Article Synopsis
- The study focuses on the advancements in reconstructing microbial genomes from metagenomic data and highlights the variability in data quality that needs assessment.
- The authors introduced a new tool called CoCoPyE, which utilizes a two-stage process to accurately predict genome quality by identifying genomic markers and refining estimates with machine learning.
- CoCoPyE outperformed existing tools in accuracy during simulations and provides both a web server and Python implementation for easy integration into genome analysis workflows.
