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Karger Publishers, Public Health Genomics, 2(20), p. 126-135, 2017

DOI: 10.1159/000477561

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

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Data provided by SHERPA/RoMEO

Abstract

The emergence of high-throughput data in biology has increased the need for functional in silico analysis and prompted the development of integrative bioinformatics tools to facilitate the obtainment of biologically meaningful data. In this paper, we present DoriTool, a comprehensive, easy, and friendly pipeline integrating biological data from different functional tools. The tool was designed with the aim to maximize reproducibility and reduce the working time of the researchers, especially of those with limited bioinformatics skills, and to help them with the interpretation of the results. DoriTool is based upon an integrative strategy implemented following a modular design pattern. Using scripts written in Bash, Perl and R, it performs a functional in silico analysis annotation at mutation/variant level, gene level, pathway level and network level by combining up-to-date functional and genomic data and integrating also third-party bioinformatics tools in a pipeline. DoriTool uses GRCh37 human assembly and online mode. DoriTool provides nice visual reports including variant annotation, linkage disequilibrium proxies, gene annotation, gene ontology analysis, expression quantitative trait loci results from Genotype-Tissue Expression (GTEx) and coloured pathways. Here, we also show DoriTool functionalities by applying it to a dataset of 13 variants associated with prostate cancer. Project development, released code libraries, GitHub repository (https://github.com/doritool) and documentation are hosted at https://doritool.github.io/. DoriTool is, to our knowledge, the most complete bioinformatics tool offering functional in silico annotation of variants previously associated with a trait of interest, shedding light on the underlying biology and helping the researchers in the interpretation and discussion of the results.