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DoriTool: A Bioinformatics Integrative Tool for Post-Association Functional Annotation.

Isabel Martín-Antoniano1, Lola Alonso, Miguel Madrid

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Summary

DoriTool is a new bioinformatics pipeline that integrates various functional tools for in silico analysis. It simplifies variant annotation and interpretation, aiding researchers in understanding complex biological data.

Keywords:
AssociationCancerFunctional annotationGenome-wide association studyGenomicsNext-generation sequencing

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput biological data necessitates advanced bioinformatics tools for functional analysis.
  • Existing tools often lack integration, increasing researcher workload and complexity.
  • Interpreting complex genomic data requires user-friendly, reproducible pipelines.

Purpose of the Study:

  • To present DoriTool, an integrated bioinformatics pipeline for functional in silico analysis.
  • To enhance reproducibility and reduce research time, particularly for users with limited bioinformatics expertise.
  • To aid in the interpretation of biologically meaningful data from variant annotation.

Main Methods:

  • DoriTool employs a modular design and integrative strategy using Bash, Perl, and R scripts.
  • It performs functional annotation at multiple levels: mutation/variant, gene, pathway, and network.
  • The pipeline integrates up-to-date functional and genomic data, including third-party tools and Genotype-Tissue Expression (GTEx) data.

Main Results:

  • DoriTool provides comprehensive variant annotation, gene annotation, and pathway analysis.
  • Visual reports include linkage disequilibrium proxies, GTEx eQTL results, and colored pathways.
  • Application to prostate cancer-associated variants demonstrates its utility in biological interpretation.

Conclusions:

  • DoriTool is a comprehensive and user-friendly bioinformatics tool for functional in silico annotation of variants.
  • It significantly aids researchers in interpreting genetic associations and understanding underlying biological mechanisms.
  • The tool is publicly available with code, documentation, and a GitHub repository.