MP3tree

MP3tree computes MP3 (Multi-Phenotype Phylogenetic Similarity), a triplet-based similarity measure to compare fully multi-labeled tumor phylogenetic trees with poly-occurring labels and to classify tumor evolutionary histories that include simultaneous and repeated mutations.


Key Features:

  • Handling Poly-Occurring Mutations: Manages poly-occurring labels in fully multi-labeled tumor phylogenies, including simultaneous and repeated mutation events.
  • Robust Similarity Measure: Implements MP3 as a triplet-based similarity score to evaluate and classify trees as similar or dissimilar.
  • Validation on Data: Demonstrated on both simulated and real datasets to assess performance on practical cancer phylogeny scenarios.

Scientific Applications:

  • Comparison of Tumor Phylogenies: Enables evaluation and comparison of alternative inferred evolutionary histories of tumors.
  • Accommodation of Complex Mutation Patterns: Improves phylogenetic analyses by accounting for simultaneous and repeated mutations in tumor evolution.
  • Support for Precision Oncology: Provides phylogenetic insights that can inform development of personalized cancer treatment strategies.

Methodology:

Computes a triplet-based similarity score (MP3) that explicitly accounts for poly-occurring labels in fully multi-labeled trees and for simultaneous and repeated mutations.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python, Shell
Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Ciccolella S, Bernardini G, Denti L, Bonizzoni P, Previtali M, Della Vedova G. Triplet-based similarity score for fully multilabeled trees with poly-occurring labels. Bioinformatics. 2020;37(2):178-184. doi:10.1093/bioinformatics/btaa676. PMID:32730595. PMCID:PMC8055217.

PMID: 32730595
PMCID: PMC8055217
Funding: - Marie Skłodowska-Curie: 872539

Links