TIPP

TIPP performs taxonomic identification and phylogenetic profiling of metagenomic samples to estimate taxon abundances and characterize microbial diversity using a marker-based approach with 30 universal marker genes and phylogenetic placement.


Key Features:

  • Marker-Based Methodology: Utilizes a collection of 30 universal marker genes to bin metagenomic fragments and support taxonomic classification.
  • Phylogenetic Placement: Employs SATé-enabled phylogenetic placement to position binned fragments within estimated taxonomic trees for each marker gene.
  • Statistical Precision and Recall: Integrates statistical methods to control classification precision and recall.
  • Robustness to Indel Errors and Novel Genomes: Maintains high accuracy despite insertion-deletion (indel) errors and previously uncharacterized genomic sequences.
  • Comparative Performance: Matches or surpasses NBC, mOTU, PhymmBL, MetaPhyler, and MetaPhlAn in abundance profiling accuracy.

Scientific Applications:

  • Metagenomic Diversity Analysis: Provides detailed taxonomic identification and phylogenetic placement to characterize microbial diversity in metagenomic samples.
  • Ecological Studies: Enables exploration of ecological interactions and evolutionary relationships among microorganisms in environmental datasets.
  • Clinical Microbiology: Supports identification of pathogenic organisms in clinical metagenomic samples to inform diagnostics and treatment strategies.

Methodology:

Associates metagenomic fragments with 30 universal marker genes for fragment binning, applies SATé-enabled phylogenetic placement within marker-specific estimated taxonomic trees, and uses statistical controls to manage classification precision and recall.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Nguyen N, Mirarab S, Liu B, Pop M, Warnow T. TIPP: taxonomic identification and phylogenetic profiling. Bioinformatics. 2014;30(24):3548-3555. doi:10.1093/bioinformatics/btu721. PMID:25359891. PMCID:PMC4253836.

Documentation

Links