Data analysis of alternative splicing microarrays.

Miroslava Cuperlovic-Culf; Nabil Belacel; Adrian S Culf; Rodney J Ouellette

doi:10.1016/j.drudis.2006.09.011

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Data analysis of alternative splicing microarrays.

Miroslava Cuperlovic-Culf·Nabil Belacel·Adrian S Culf·Rodney J Ouellette

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Abstract

The importance of alternative splicing in drug and biomarker discovery is best understood through several example genes. For most genes, the identification, detection and particularly quantification of isoforms in different tissues and conditions remain to be carried out. As a result, the focus in drug and biomarker development is increasingly on high-throughput studies of alternative splicing. Initial strategies for the parallel analysis of alternative splicing by microarrays have been recently published. The design specificities and goals of alternative splicing microarrays, in terms of identification and quantification of multiple mRNAs from one gene, are promoting the development of novel methods of analysis.

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Algorithms Alternative Splicing Animals Biomarkers Data Interpretation, Statistical Drug Design Gene Expression Profiling Humans Models, Statistical Oligonucleotide Array Sequence Analysis Oligonucleotide Probes RNA, Messenger Sequence Analysis, RNA Software Journal Article Research Support, Non-U.S. Gov't Review

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Miroslava Cuperlovic-Culf, Nabil Belacel, Adrian S Culf, Rodney J Ouellette. 2006-09-26. Data analysis of alternative splicing microarrays.. https://doi.org/10.1016/j.drudis.2006.09.011

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