Methodology article
A compatible exon-exon junction database for the identification of exon skipping events using tandem mass spectrum data
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* Corresponding author: Biaoyang Lin biaoylin@gmail.com
- † Equal contributors
1 Systems Biology Division, Zhejiang-California Nanosystems Institute (ZCNI) of Zhejiang University, Zhejiang University Huajiachi Campus, 268 Kaixuan Road, Hangzhou 310029, PR China
2 Department of General Surgery, The Second Affiliated Hospital, ShanXi Medical University, 382 Wuyi Road, Taiyuan 030000, PR China
3 College of Life Science, Zhejiang University Zijingang Campus, Zijinhua Road, Hangzhou 310058, PR China
4 Center for Computational Medicine and Biology, National Center for Integrative Biomedical Informatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218, USA.
5 Departments of Internal Medicine and Human Genetics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, MI 48109-2218, USA
BMC Bioinformatics 2008, 9:537 doi:10.1186/1471-2105-9-537
Published: 16 December 2008Additional files
Additional file 1:
Putative novel splicing peptides identified by our approach.
Format: XLS Size: 468KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
A bar chart showing the statistics of the number of skipped exons for the exon-skipping events we identified..
Format: TIFF Size: 1.8MB Download file