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This article is part of the supplement: Selected articles from ISCB-Asia 2012

Open Access Research

iSeeRNA: identification of long intergenic non-coding RNA transcripts from transcriptome sequencing data

Kun Sun12, Xiaona Chen13, Peiyong Jiang12, Xiaofeng Song4*, Huating Wang13* and Hao Sun12*

Author Affiliations

1 Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

2 Departments of Chemical Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

3 Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

4 Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

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BMC Genomics 2013, 14(Suppl 2):S7  doi:10.1186/1471-2164-14-S2-S7

Published: 15 February 2013

Additional files

Additional file 1:

Details of conservation score and the blastx score for the comparison dataset.

Format: XLS Size: 448KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

Comparison of the potential for each feature on the discrimination of lincRNAs (red) from PCTs (green). The calculated feature values were normalized to values between 0 and 1. Each feature can distinguish lincRNAs from PCTs to some extension. Exon cons (exon conservation score) and ORF proportion shows the highest discrimination power among all the features.

Format: PNG Size: 142KB Download file

Open Data

Additional file 3:

Scatter plot of iSeeRNA the prediction accuracy and noncoding score.

Format: PDF Size: 335KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data