Computational methods for alternative splicing prediction

Computational methods for alternative splicing prediction.

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 appr...

Role of Aberrant Alternative Splicing in Cancer

Alternative splicing can alter genome sequence and as a consequence, many genes change to oncogenes. This event can also affect protein function and diversity. The growing number of study elucidate the pathological influence of impaired alternative splicing events on numerous disease including cancer. Here, we would like to highlight the significant role of alternative splicing in cancer biolog...

Human Full-Length Pre-mRNA Sequence Dataset for Computational Gene Prediction and Alternative Splicing Analysis

Statistical and Computational Studies on Alternative Splicing

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 in...

Accurate prediction of NAGNAG alternative splicing

Alternative splicing (AS) involving NAGNAG tandem acceptors is an evolutionarily widespread class of AS. Recent predictions of alternative acceptor usage reported better results for acceptors separated by larger distances, than for NAGNAGs. To improve the latter, we aimed at the use of Bayesian networks (BN), and extensive experimental validation of the predictions. Using carefully constructed ...