A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge

Kinga Zielińska, Kateryna Pantiukh, Pawel P. Łabaj, Tomasz Kosciolek, Elin Org

Open source

DOI
10.1128/msystems.01714-25
Published
2026-06-23
Container
mSystems
Publisher
American Society for Microbiology
Open access
unknown

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BibTeX

@article{allodium:10.1128/msystems.01714-25,
  title = {A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge},
  author = {Kinga Zielińska and Kateryna Pantiukh and Pawel P. Łabaj and Tomasz Kosciolek and Elin Org},
  year = {2026},
  journal = {mSystems},
  doi = {10.1128/msystems.01714-25},
  url = {https://doi.org/10.1128/msystems.01714-25}
}

RIS

TY  - JOUR
TI  - A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge
AU  - Kinga Zielińska
AU  - Kateryna Pantiukh
AU  - Pawel P. Łabaj
AU  - Tomasz Kosciolek
AU  - Elin Org
PY  - 2026
JO  - mSystems
DO  - 10.1128/msystems.01714-25
UR  - https://doi.org/10.1128/msystems.01714-25
ER  - 

APA

Zielińska, K., Pantiukh, K., Łabaj, P. P., Kosciolek, T., & Org, E. (2026). A large-scale comparative metagenomic analysis of short-read sequencing platforms indicates high taxonomic concordance and functional analysis challenge. mSystems. https://doi.org/10.1128/msystems.01714-25

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