Publications by authors named "Niklas Birth"

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.
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Most methods for phylogenetic tree reconstruction are based on sequence alignments; they infer phylogenies from substitutions that may have occurred at the aligned sequence positions. Gaps in alignments are usually not employed as phylogenetic signal. In this paper, we explore an alignment-free approach that uses insertions and deletions (indels) as an additional source of information for phylogeny inference.

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