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2011 | OriginalPaper | Buchkapitel

2. Statistical and Computational Studies on Alternative Splicing

verfasst von : Liang Chen

Erschienen in: Handbook of Statistical Bioinformatics

Verlag: Springer Berlin Heidelberg

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Abstract

The accumulating genome sequences and other high-throughput data have shed light on the extent and importance of alternative splicing in functional regulation. Alternative splicing dramatically increases the transcriptome and proteome diversity of higher organisms by producing multiple splice variants from different combinations of exons. It has an important role in many biological processes including nervous system development and programmed cell death. Many human diseases including cancer arise from defects in alternative splicing and its regulation. This chapter reviews statistical and computational methods on genome-wide alternative splicing studies.

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Metadaten
Titel
Statistical and Computational Studies on Alternative Splicing
verfasst von
Liang Chen
Copyright-Jahr
2011
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-16345-6_2