ReportingTools: an automated result processing and presentation toolkit for high-throughput genomic analyses
Author(s) -
Melanie A. Huntley,
Jessica L. Larson,
Christina Chaivorapol,
Gabriel Becker,
M. Lawrence,
Jason A. Hackney,
Joshua S. Kaminker
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt551
Subject(s) - bioconductor , hyperlink , computer science , table (database) , information retrieval , context (archaeology) , graphics , documentation , software , process (computing) , raw data , data mining , programming language , world wide web , web page , operating system , paleontology , biochemistry , chemistry , biology , gene
It is common for computational analyses to generate large amounts of complex data that are difficult to process and share with collaborators. Standard methods are needed to transform such data into a more useful and intuitive format. We present ReportingTools, a Bioconductor package, that automatically recognizes and transforms the output of many common Bioconductor packages into rich, interactive, HTML-based reports. Reports are not generic, but have been individually designed to reflect content specific to the result type detected. Tabular output included in reports is sortable, filterable and searchable and contains context-relevant hyperlinks to external databases. Additionally, in-line graphics have been developed for specific analysis types and are embedded by default within table rows, providing a useful visual summary of underlying raw data. ReportingTools is highly flexible and reports can be easily customized for specific applications using the well-defined API.
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