miRSeqNovel: an R based workflow for analyzing miRNA sequencing data

Research output: Contribution to journalJournal articleResearchpeer-review

  • Kui Qian
  • Eeva Auvinen
  • Dario Greco
  • Petri Auvinen
We present miRSeqNovel, an R based workflow for miRNA sequencing data analysis. miRSeqNovel can process both colorspace (SOLiD) and basespace (Illumina/Solexa) data by different mapping algorithms. It finds differentially expressed miRNAs and gives conservative prediction of novel miRNA candidates with customized parameters. miRSeqNovel is freely available at http://sourceforge.net/projects/mirseq/files.
Original languageEnglish
JournalMolecular and Cellular Probes
Volume26
Issue number5
Pages (from-to)208-11
Number of pages4
ISSN0890-8508
DOIs
Publication statusPublished - Oct 2012

    Research areas

  • Algorithms, Arabidopsis, Humans, MicroRNAs, Sequence Analysis, RNA, Software

ID: 95706258