isma

isma integrates somatic mutation calls from multiple mutation-calling pipelines to produce a consensus mutation catalogue that improves reliability of somatic mutation detection in matched tumor–normal next-generation sequencing data.


Key Features:

  • R package: Implemented in R and provides functions for integration and analysis of somatic mutation calls.
  • Integration of multiple pipelines: Combines somatic mutation outputs from various callers applied to matched tumor–normal samples to address low concordance among tools.
  • Quantification of concordance and variability: Computes agreement metrics between pipelines, estimates variability in mutation calls, and identifies outlier results.
  • Integration with public mutation catalogues: Incorporates evidence from public resources such as The Cancer Genome Atlas (TCGA) to contextualize mutations.
  • Filtering strategies: Provides functions to apply filtering criteria and reports common patterns and pipeline-specific variability to prioritize reliable mutation sites.
  • Comprehensive reporting: Generates a unique mutation catalogue and detailed reports summarizing shared patterns, variability, and previously catalogued sites.

Scientific Applications:

  • Cancer genomics: Supports accurate somatic mutation detection and comparative analysis across pipelines to aid interpretation of tumor genetic alterations and development of targeted therapies.

Methodology:

Integrates outputs from multiple mutation-calling pipelines applied to matched tumor–normal samples, quantifies agreement between pipelines, estimates variability, identifies outliers, incorporates TCGA evidence, applies filtering strategies, and generates a unique mutation catalogue with detailed reports.

Topics

Details

Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
6/21/2019
Last Updated:
6/16/2020

Operations

Publications

Di Nanni N, Moscatelli M, Gnocchi M, Milanesi L, Mosca E. isma: an R package for the integrative analysis of mutations detected by multiple pipelines. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2701-0. PMID:30819096. PMCID:PMC6394085.

PMID: 30819096
PMCID: PMC6394085
Funding: - Ministero dell’Istruzione, dell’Università e della Ricerca: INTEROMICS PB05, PON ELIXIR CNRBiOmics, PRIN 2015 20157ATSLF - FRRB - Fondazione Regionale per la Ricerca Biomedica: LYRA - Ministero della Salute: GR-2016-02363997

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