ONETOOL

ONETOOL processes family-based genetic variant data to analyze inheritance patterns and assess familial disease risk from large-scale sequencing of family members.


Key Features:

  • Integration of Established Methods: Incorporates established tools and methods for family-based data analysis to leverage proven analytical techniques.
  • Computational Efficiency: Enables efficient processing of large-scale sequencing-derived variant datasets from multiple family members.
  • Rich Methodological Choices: Provides a diverse array of analytical methods tailored to familial genetic data to support multiple analysis strategies.

Scientific Applications:

  • Hereditary Pattern Identification: Identifies hereditary patterns within families using family-based variant data.
  • Familial Risk Assessment: Assesses familial risk factors for diseases by analyzing variant transmission among related individuals.
  • Complex Trait Inheritance Analysis: Explores inheritance of complex traits across family members using sequencing-derived variant data.
  • Genetic Epidemiology and Personalized Medicine: Supports genetic epidemiology studies and contributes to personalized medicine through comprehensive family-based variant analyses.

Methodology:

Integrates traditional and recent computational approaches for family-based variant data analysis to enable validation with established methods and exploration using recent methodological developments.

Topics

Details

Tool Type:
plugin
Operating Systems:
Linux, Windows
Programming Languages:
R
Added:
6/3/2018
Last Updated:
11/25/2024

Operations

Publications

Song YE, Lee S, Park K, Elston RC, Yang H, Won S. ONETOOL for the analysis of family-based big data. Bioinformatics. 2018;34(16):2851-2853. doi:10.1093/bioinformatics/bty180. PMID:29596615. PMCID:PMC6084591.

PMID: 29596615
PMCID: PMC6084591
Funding: - Ministry of Health & Welfare, Republic of Korea: HC15C1302 - Bio-Synergy Research: NRF-2017M3A9C4065964

Documentation