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.