TIPP3
TIPP3 performs abundance profiling in metagenomic datasets using a maximum likelihood approach to place reads into labeled taxonomies using marker genes.
Key Features:
- Taxonomic identification: Identifies the taxonomic lineage of individual query reads using a marker gene database.
- Abundance profiling: Estimates an abundance profile on a set of query reads.
- Scalability to large taxonomies: Enables the use of much larger taxonomies than TIPP2 through improved algorithmic techniques.
- TIPP3-fast variant: Provides slightly lower accuracy than TIPP3 with substantially reduced runtime while remaining generally more accurate than other leading methods.
- TIPP-SD subcommand: Performs detection at the species level.
- Filtered marker-gene based analysis: Restricts abundance profiling to reads that map to marker genes, which typically improves accuracy.
Scientific Applications:
- Novel genome profiling: Achieves superior accuracy for abundance profiling when reads come from genomes not present in public databases.
- Error-containing read analysis: Maintains high accuracy for abundance profiling when reads contain sequencing errors.
- Metagenomic community characterization: Profiles microbial community composition through taxonomic identification and abundance estimation of marker gene sequences.
Methodology:
TIPP3 uses a maximum likelihood approach to place reads into labeled taxonomies using marker genes, with improved algorithmic techniques for scalability to larger taxonomies compared to TIPP2.
Topics
Details
- Added:
- 3/19/2026
- Last Updated:
- 3/19/2026
Operations
Publications
Links
Repository
https://github.com/c5shen/TIPP3