TIminer
TIminer performs integrative analysis of next-generation sequencing (NGS) data to characterize tumor–immune interactions for cancer immunology and immunotherapy research.
Key Features:
- Integrative immunogenomic analyses: Combines multiple immunogenomic analyses from NGS data to assess tumor–immune system relationships.
- Human Leukocyte Antigen (HLA) typing: Identifies HLA types from NGS data for patient-specific immune profiling.
- Neoantigen prediction: Predicts candidate neoantigen peptides derived from tumor variants for immunogenicity assessment.
- Characterization of immune infiltrates: Quantifies composition and abundance of immune cell populations within the tumor microenvironment.
- Quantification of tumor immunogenicity: Assesses tumor immunogenic potential to inform likelihood of eliciting immune responses.
- Automated multi-step pipeline: Integrates and automates multi-step NGS analyses to produce reproducible outputs with reduced manual intervention.
Scientific Applications:
- Personalized medicine approaches: Enables HLA typing and neoantigen prediction to support development of tailored immunotherapies.
- Research into tumor microenvironments: Provides immune infiltrate profiles to study interactions between immune cells and tumors.
- Evaluating immunotherapy efficacy: Supplies tumor immunogenicity metrics to predict and assess responses to immunotherapeutic interventions.
Methodology:
TIminer automates the integration and analysis of NGS data through a streamlined multi-step pipeline that minimizes manual intervention.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 6/12/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Tappeiner E, Finotello F, Charoentong P, Mayer C, Rieder D, Trajanoski Z. TIminer: NGS data mining pipeline for cancer immunology and immunotherapy. Bioinformatics. 2017;33(19):3140-3141. doi:10.1093/bioinformatics/btx377. PMID:28633385. PMCID:PMC5870678.
PMID: 28633385
PMCID: PMC5870678
Funding: - Austrian Science Fund: W1101-B18
- Austrian National Bank: 16534