CLASV: Rapid Lassa virus lineage assignment with random forest

Lassa fever, caused by the Lassa virus (LASV), is a deadly disease characterized by hemorrhages. Annually, it affects approximately 300,000 people in West Africa and causes about 5,000 deaths. It currently has no approved vaccine and is categorized as a top-priority disease. Apart from its endemicity to West Africa, there have been exported cases in almost all continents, including several European countries. Distinct Lassa virus lineages circulate in specific regions, and have been reported to show varying immunological behaviors and may contribute to differing disease outcomes. It is therefore important to rapidly identify which lineage caused an outbreak or an exported case. We present CLASV, a machine learning-based lineage assignment tool built using a Random Forest classifier. CLASV processes raw nucleotide sequences and assigns them to the dominant circulating lineages (II, III, and IV/V) rapidly and accurately. CLASV is implemented in Python for ease of integration into existing workflows and is freely available for public use.

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Publication Details

Journal
PLoS neglected tropical diseases
Published
2025-09-09
DOI
https://doi.org/10.1371/journal.pntd.0013512
Citations
1
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
1.40

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article

CLASV: Rapid Lassa virus lineage assignment with random forest

Denise Kühnert, Jens-Uwe Ulrich, Richard Olumide Daodu, Ebenezer Awotoro
1 citations
PLoS neglected tropical diseases
Viral Infections and Outbreaks Research
1.40
article

CLASV: Rapid Lassa virus lineage assignment with random forest

Denise Kühnert, Jens-Uwe Ulrich, Richard Olumide Daodu, Ebenezer Awotoro
article en
1 citations

Abstract

Lassa fever, caused by the Lassa virus (LASV), is a deadly disease characterized by hemorrhages. Annually, it affects approximately 300,000 people in West Africa and causes about 5,000 deaths. It currently has no approved vaccine and is categorized as a top-priority disease. Apart from its endemicity to West Africa, there have been exported cases in almost all continents, including several European countries. Distinct Lassa virus lineages circulate in specific regions, and have been reported to show varying immunological behaviors and may contribute to differing disease outcomes. It is therefore important to rapidly identify which lineage caused an outbreak or an exported case. We present CLASV, a machine learning-based lineage assignment tool built using a Random Forest classifier. CLASV processes raw nucleotide sequences and assigns them to the dominant circulating lineages (II, III, and IV/V) rapidly and accurately. CLASV is implemented in Python for ease of integration into existing workflows and is freely available for public use.

PLoS neglected tropical diseasesVol. 19(9)
Robert Koch Institute (DE), Freie Universität Berlin (DE)
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Robert Koch Institut
Openalex Percentile: Top 16%
Viral Infections and Outbreaks Research
1.40
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CLASV: Rapid Lassa virus lineage assignment with random forest — Denise Kühnert, Jens-Uwe Ulrich, et al. · PLoS neglected tropical diseases (2025) | TGRS Research Map | TGRS