Nikolay Oskolkov
@oskolkov.bsky.social
Group Leader (PI) at LIOS, Riga, Latvia
PhD in theoretical physics. Research interests: computational biology, statistics, machine learning, aDNA / eDNA, ancient metagenomics.
Homepage: https://nikolay-oskolkov.com/
PhD in theoretical physics. Research interests: computational biology, statistics, machine learning, aDNA / eDNA, ancient metagenomics.
Homepage: https://nikolay-oskolkov.com/
We screened ~3000 eukaryotic NCBI RefSeq and 1323 PhyloNorway genomes for microbial-like regions and compiled a resource with genomic coordinates doi.org/10.17044/sci..., enabling masking before population genomics or taxonomic inference aeDNA analyses
Coordinates of microbial contamination in eukaryotic reference genomes
This dataset contains coordinates of microbial contamination in eukaryotic chromosome-level reference genomes of 96 plant, 114 invertebrate and 162 non-mammalian vertebrate species, 566 chromosome- an...
doi.org
October 4, 2025 at 9:22 AM
We screened ~3000 eukaryotic NCBI RefSeq and 1323 PhyloNorway genomes for microbial-like regions and compiled a resource with genomic coordinates doi.org/10.17044/sci..., enabling masking before population genomics or taxonomic inference aeDNA analyses
Our method can be used for masking potential exogenous (microbial or human) regions in eukaryotic references for better taxonomic inference from ancient environmental metagenomics data. The method is implemented in Nextflow and available here github.com/NikolayOskol...
GitHub - NikolayOskolkov/MCWorkflow
Contribute to NikolayOskolkov/MCWorkflow development by creating an account on GitHub.
github.com
October 4, 2025 at 9:21 AM
Our method can be used for masking potential exogenous (microbial or human) regions in eukaryotic references for better taxonomic inference from ancient environmental metagenomics data. The method is implemented in Nextflow and available here github.com/NikolayOskol...