usher

usher places new genome sequences onto existing phylogenies to enable rapid phylogenetic placement and real-time genomic contact tracing, particularly for SARS-CoV-2.


Key Features:

  • Speed and Efficiency: Achieves orders-of-magnitude faster placement times than traditional methods, enabling real-time analyses.
  • Memory Optimization: Uses memory-efficient data structures to support large-scale analyses without extensive computational resources.
  • Versatility: Applicable beyond SARS-CoV-2 to a wide range of phylogenetic studies.
  • Tree-based data structure: Encodes evolutionary history in an efficient tree-based data structure and maintains an updated reference phylogeny.
  • Real-time placement: Enables rapid placement of new sequences into a growing phylogeny to support genomic contact tracing and ongoing surveillance.

Scientific Applications:

  • Genomic Contact Tracing: Supports placement of viral genomes onto large phylogenies to infer transmission links and local transmission dynamics in near real-time.
  • Data Visualization and Analysis: Accelerates phylogenetic placement to facilitate visualization and downstream analysis of viral evolution and spread.

Methodology:

Uses an efficient tree-based data structure to encode evolutionary history and places new samples onto an existing reference phylogeny, accelerating placement while maintaining the updated reference tree.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Programming Languages:
C++, Python
Added:
3/12/2024
Last Updated:
11/6/2024

Operations

Publications

Turakhia Y, Thornlow B, Hinrichs AS, De Maio N, Gozashti L, Lanfear R, Haussler D, Corbett-Detig R. Ultrafast Sample placement on Existing tRees (UShER) enables real-time phylogenetics for the SARS-CoV-2 pandemic. Nature Genetics. 2021;53(6):809-816. doi:10.1038/s41588-021-00862-7. PMID:33972780. PMCID:PMC9248294.

Funding: - U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences: R35GM128932 - Center for Information Technology Research in the Interest of Society: 2020-0000000020 - U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute: 5U41HG002371-19, F31HG010584, T32HG008345 - Department of Education and Training | Australian Research Council: DP200103151