SpliceCenter: A suite of web-based bioinformatic applications for evaluating the impact of alternative splicing on RT-PCR, RNAi, microarray, and peptide-based studies
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* Corresponding author: John N Weinstein jweinste@mdanderson.org
1 Genomics & Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
2 Tiger Team Consulting, Fairfax, VA, USA
3 Gene Silencing Section, Genetics Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
4 Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, USA
5 Department of Bioinformatics and Computational Biology, M. D. Anderson Cancer Center, Houston, TX, USA
BMC Bioinformatics 2008, 9:313 doi:10.1186/1471-2105-9-313
Published: 18 July 2008Additional files
Additional File 1:
This file contains the Microarray Database schema, and a use case comparison of a task performed either with SpliceMiner or with SpliceCenter.
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Additional File 2:
siRNA-Check. (a) Graphical output from siRNA-Check for siRNAs designed to target BAD. Note that siBAD.2 does not target NM_032989. (b) Graphical output from siRNA-Check for siRNAs corresponding to the YWHAZ gene. Note that siYHWAZ.1 targets NM_003406 but not NM_145690. See Martin, et al.[3] for additional details.
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Additional File 3:
Peptide-Check Graphical output from Peptide-Check for peptides designed to target isoforms of p53 Peptide 1: DQTSFQKENC – p53β, Peptide 2: MLLDLRWCYFLINSS – p53γ (See [21,25] for further details).
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