NextStrain: Real-time tracking of pathogen evolution

2.0kCitations
Citations of this article
1.6kReaders
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Understanding the spread and evolution of pathogens is important for effective public health measures and surveillance. Nextstrain consists of a database of viral genomes, a bioinformatics pipeline for phylodynamics analysis, and an interactive visualization platform. Together these present a real-time view into the evolution and spread of a range of viral pathogens of high public health importance. The visualization integrates sequence data with other data types such as geographic information, serology, or host species. Nextstrain compiles our current understanding into a single accessible location, open to health professionals, epidemiologists, virologists and the public alike.

References Powered by Scopus

Real-time, portable genome sequencing for Ebola surveillance

1033Citations
N/AReaders
Get full text

TreeTime: Maximum-likelihood phylodynamic analysis

651Citations
N/AReaders
Get full text

Epidemiology of human infections with avian influenza A(H7N9) virus in China

604Citations
N/AReaders
Get full text

Cited by Powered by Scopus

IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

7230Citations
N/AReaders
Get full text

Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus

2890Citations
N/AReaders
Get full text

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

1786Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hadfield, J., Megill, C., Bell, S. M., Huddleston, J., Potter, B., Callender, C., … Neher, R. A. (2018). NextStrain: Real-time tracking of pathogen evolution. Bioinformatics, 34(23), 4121–4123. https://doi.org/10.1093/bioinformatics/bty407

Readers over time

‘17‘18‘19‘20‘21‘22‘23‘24‘250150300450600

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 488

58%

Researcher 262

31%

Professor / Associate Prof. 73

9%

Lecturer / Post doc 25

3%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 357

46%

Agricultural and Biological Sciences 189

25%

Medicine and Dentistry 112

15%

Immunology and Microbiology 111

14%

Article Metrics

Tooltip
Mentions
News Mentions: 18
References: 10
Social Media
Shares, Likes & Comments: 61

Save time finding and organizing research with Mendeley

Sign up for free
0