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

      1 , 2 , 1 , 2 , 3
      Bioinformatics
      Oxford University Press (OUP)

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          Abstract

          Summary

          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.

          Availability and implementation

          Curse, Prose and their manuals are available at http://bioinformatics.psb.ugent.be/webtools/Curse/. Prose was implemented in Java.

          Supplementary information

          Supplementary data are available at Bioinformatics online.

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          Author and article information

          Contributors
          (View ORCID Profile)
          Journal
          Bioinformatics
          Oxford University Press (OUP)
          1367-4803
          1460-2059
          August 15 2019
          August 15 2019
          December 24 2018
          August 15 2019
          August 15 2019
          December 24 2018
          : 35
          : 16
          : 2880-2881
          Affiliations
          [1 ]VIB Center for Plant Systems Biology, VIB, Ghent B, Belgium
          [2 ]Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent B, Belgium
          [3 ]Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium
          Article
          10.1093/bioinformatics/bty1052
          30590391
          9140ff04-6e31-4051-aed4-0babe63f5126
          © 2018

          https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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