"mRNA polyadenylation is an essential mechanism in
human genes and is direct linked to the termination of
transcription. Alternative polyadenylation changes the length of
the mature mRNA’s 3’UTR. Since 3’UTRs have been shown to
contain regulatory elements that control mRNA functioning,
alternative polyadenylation plays an important role in controlling
the expression of human genes. Prediction of polyadenylation sites
can help with the identification of genes and aid our understanding
of the mechanisms of alternative polyadenylation. In this study, we
constructed a system for mRNA polyadenylation site prediction in
human genes using SVM and based on an analysis of the sequence
alignment between pair-end diTags (PET) and genome sequences.
The PET sequences were mapped to the reference genome more
accurate compared to earlier methods. We also analyzed
single-site type and multiple-site type sequences PET sequence
datasets and found that the frequencies of each nucleotide were
different when the single-site type and multiple-site type PET
sequences were compared."
Relation:
11th IEEE International Conference on Bioinformatics & Bioengineering (BIBE2011)
