Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A statistical method for comparing viral growth curves.

Gary P Wang1, Frederic D Bushman

  • 1Department of Microbiology, University of Pennsylvania School of Medicine, 3610 Hamilton Walk, Philadelphia, PA 19104-6076, USA.

Journal of Virological Methods
|March 28, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association of SARS-CoV-2 infection with incident diabetes among U.S. Veterans in a prospective longitudinal cohort.

PloS one·2026
Same author

Long-term stability of posttranscriptional genetic silencing of BCL11A using a shmiR vector in Sickle Cell Disease.

Blood·2026
Same author

Optimizing methods for virome analysis based on studies of a synthetic viral community.

mSystems·2026
Same author

LVV SMRTcap reveals extensive proviral variation in lentiviral vector-transduced CAR T cells.

bioRxiv : the preprint server for biology·2026
Same author

Neuroepithelial Tumor with AAV Integration after Intracisternal Magna Vector Delivery.

The New England journal of medicine·2026
Same author

Uncovering viral protein acquisition events and human-specific folds with pairwise comparisons of predicted protein structures.

Molecular biology and evolution·2026
Same journal

Epidemiological characteristics of respiratory syncytial virus in children during 2021-2024.

Journal of virological methods·2026
Same journal

Beyond strain-specific immunity: Conserved antigenic targets, emerging platforms, and translational challenges in universal influenza and pan-coronavirus vaccine development.

Journal of virological methods·2026
Same journal

Analytical characteristics of the NeuMoDx™ SARS-CoV-2 assay and clinical agreement with the BD MAX system.

Journal of virological methods·2026
Same journal

Development of a real-time PCR assay for tracking the spatiotemporal dynamics of a cyanophage and its Synechococcus host in waters of shrimp aquaculture ecosystems.

Journal of virological methods·2026
Same journal

A universal RdRp-targeted primer set for broad, non-specific detection of Quinvirinae and other Betaflexiviridae infecting stone fruits.

Journal of virological methods·2026
Same journal

Development of a multiplex real-time PCR method for detecting immunosuppressive viruses and its preliminary application in broilers.

Journal of virological methods·2026
See all related articles

A new statistical method rigorously compares viral replication growth curves. This approach analyzes HIV replication data, offering a statistically sound way to compare viral mutants and experimental conditions.

Area of Science:

  • Virology
  • Biostatistics
  • Infectious Diseases

Background:

  • Viral replication is commonly assessed using growth curves, but rigorous statistical analysis is often lacking.
  • Comparing viral growth under various conditions or between mutants relies heavily on growth curve analysis.

Purpose of the Study:

  • To introduce a statistically rigorous method for comparing viral replication growth curves.
  • To address the challenge of non-independent sequential measurements in viral accumulation data.

Main Methods:

  • Fitting virus accumulation data over time to an exponential equation.
  • Comparing extracted growth rates using nonparametric tests (Mann-Whitney U or Kruskal-Wallis).
  • Demonstrating the method with human immunodeficiency virus (HIV) replication data in the presence of an integrase inhibitor.

Related Experiment Videos

Main Results:

  • The proposed method provides a statistically robust framework for analyzing viral growth curves.
  • Nonparametric tests are suitable for comparing growth rates derived from exponential fits, accounting for data dependencies.

Conclusions:

  • This method enhances the statistical rigor of viral growth curve comparisons.
  • The approach is applicable to various viral systems and experimental conditions, including antiviral drug studies.