Computational methods for alternative splicing prediction.

نویسندگان

  • Paola Bonizzoni
  • Raffaella Rizzi
  • Graziano Pesole
چکیده

The fact that a large majority of mammalian genes are subject to alternative splicing indicates that this phenomenon represents a major mechanism for increasing proteome complexity. Here, we provide an overview of current methods for the computational prediction of alternative splicing based on the alignment of genome and transcript sequences. Specific features and limitations of different approaches and software are discussed, particularly those affecting prediction accuracy and assembly of alternative transcripts.

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عنوان ژورنال:
  • Briefings in functional genomics & proteomics

دوره 5 1  شماره 

صفحات  -

تاریخ انتشار 2006