AliFilter: a machine learning approach to alignment filtering.

Bianchini G, Zhu R, Cicconardi F, Moody ERR

Open source

DOI
10.1093/molbev/msag097
Published
2026 Apr 1
Container
Molecular biology and evolution
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1093/molbev/msag097,
  title = {AliFilter: a machine learning approach to alignment filtering.},
  author = {Bianchini G and Zhu R and Cicconardi F and Moody ERR},
  year = {2026},
  journal = {Molecular biology and evolution},
  doi = {10.1093/molbev/msag097},
  url = {https://doi.org/10.1093/molbev/msag097}
}

RIS

TY  - JOUR
TI  - AliFilter: a machine learning approach to alignment filtering.
AU  - Bianchini G
AU  - Zhu R
AU  - Cicconardi F
AU  - Moody ERR
PY  - 2026
JO  - Molecular biology and evolution
DO  - 10.1093/molbev/msag097
UR  - https://doi.org/10.1093/molbev/msag097
ER  - 

APA

G, B., R, Z., F, C., & ERR, M. (2026). AliFilter: a machine learning approach to alignment filtering.. Molecular biology and evolution. https://doi.org/10.1093/molbev/msag097

Source records