Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions

Biology – Quantitative Biology – Genomics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Added two references

Scientific paper

3' untranslated regions (3' UTRs) contain binding sites for many regulatory elements, and in particular for microRNAs (miRNAs). The importance of miRNA-mediated post-transcriptional regulation has become increasingly clear in the last few years. We propose two complementary approaches to the statistical analysis of oligonucleotide frequencies in mammalian 3' UTRs aimed at the identification of candidate binding sites for regulatory elements. The first method is based on the identification of sets of genes characterized by evolutionarily conserved overrepresentation of an oligonucleotide. The second method is based on the identification of oligonucleotides showing statistically significant strand asymmetry in their distribution in 3' UTRs. Both methods are able to identify many previously known binding sites located in 3'UTRs, and in particular seed regions of known miRNAs. Many new candidates are proposed for experimental verification.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-179302

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.