This article is part of the supplement: Selected articles from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013): Genomics

Open Access Proceedings

A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing

Chih-Hung Chou1, Feng-Mao Lin1, Min-Te Chou1, Sheng-Da Hsu1, Tzu-Hao Chang2, Shun-Long Weng13456, Sirjana Shrestha1, Chiung-Chih Hsiao1, Jui-Hung Hung13* and Hsien-Da Huang13*

Author Affiliations

1 Institute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsin-Chu 300, Taiwan

2 Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan

3 Department of Biological Science and Technology, National Chiao Tung University, Hsin-Chu 300, Taiwan

4 Department of Obstetrics and Gynecology, Hsinchu Mackay Memorial Hospital, Hsinchu, Taiwan

5 Mackay Medicine, Nursing and Management College, Taipei, Taiwan

6 Department of Medicine, Mackay Medical College, New Taipei City, Taiwan

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BMC Genomics 2013, 14(Suppl 1):S2  doi:10.1186/1471-2164-14-S1-S2

Published: 21 January 2013

Additional files

Additional file 1:

The web-based browser interface of the miRTarCLIP system.

Format: DOC Size: 351KB Download file

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Additional file 2:

The multiple species sequence alignment viewer.

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Additional file 3:

The distribution of T to C conversion ratio around target sites in the Hafner et al. PAR-CLIP sequencing data.

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