iMir: an innovative and complete pipeline for smallRNA-Seq data analysis

Authors

  • Giorgio Giurato Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Antonio Rinaldi Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Adnan Hashim Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Giovanni Nassa Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Maria Ravo Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Francesca Rizzo Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Roberta Tarallo Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Angela Cordella Genomix4Life Srl, Spin-Off of the University of Salerno, Baronissi
  • Giovanna Marchese Genomix4Life Srl, Spin-Off of the University of Salerno, Baronissi
  • Domenico Memoli Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi
  • Alessandro Weisz Department of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi; Division of Molecular Pathology and Medical Genomics, “SS. Giovanni di Dio e Ruggi d’Aragona – Schola Medica Salernitana” University of Salerno Hospital

DOI:

https://doi.org/10.14806/ej.21.A.810

Abstract

iMir is a modular pipeline for comprehensive analysis of smallRNA-Seq data, comprising specific tools for adapter trimming, quality filtering, differential expression analysis, biological target prediction and other useful options by integrating multiple open source modules and resources. iMir is based on reliable, flexible and fully automated workflow, allowing to rapidly and efficiently analyse high-throughput smallRNA-Seq data, such as those produced by the most recent high-performance next generation sequencers.
EJ 21.A

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Published

2015-03-25

Issue

Vol. 21: Supplement A

Section

Oral Presentations

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