Curse: building expression atlases and co-expression networks from public RNA-Seq data.

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ID: 38136
2019
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Abstract
Public RNA-Sequencing (RNA-Seq) datasets are a valuable resource for transcriptome analyses, but their accessibility is hindered by the imperfect quality and presentation of their metadata and by the complexity of processing raw sequencing data. The Curse suite was created to alleviate these problems. It consists of an online curation tool named Curse to efficiently build compendia of experiments hosted on the Sequence Read Archive, and a lightweight pipeline named Prose to download and process the RNA-Seq data into expression atlases and co-expression networks. Curse networks showed improved linking of functionally related genes compared to the state-of-the-art.Curse, Prose and their manuals are available at http://bioinformatics.psb.ugent.be/webtools/Curse/. Prose was implemented in Java.Supplementary data are available at Bioinformatics online.
Reference Key
vaneechoutte2019cursebioinformatics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Vaneechoutte, Dries;Vandepoele, Klaas;
Journal Bioinformatics
Year 2019
DOI 10.1093/bioinformatics/bty1052
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