We present here a combination of RNA secondary structure prediction and machine learning that is designed to recognize the two major classes of snoRNAs.
Jan 15, 2008 · We present here a combination of RNA secondary structure prediction and machine learning that is designed to recognize the two major classes of snoRNAs.
Most computational approaches so far have explicitly used the fact that snoRNAs predominantly target ribosomal RNAs and spliceosomal RNAs. The target is ...
Identify small nucleolar RNAs with unknown targets. Highlights: The discovery of 'orphan' snoRNAs, which either have no known target, or which target ...
ABSTRACT. Summary: Unlike tRNAs and microRNAs, both classes of snoRNAs have proved to be surprisingly difficult to find in genomic sequences.
The snoReport approach deliberately avoids any usage of target information. We find that the combination of the conserved sequence boxes and secondary structure ...
Hofacker, I., Hertel, J., & Stadler, P. F. (2008). SnoReport: Computational identification of snoRNAs with unknown targets. Bioinformatics, 249(2), 158-164.
BIOINF 07-012 Supplemental Material - Bioinformatics Leipzig
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Jan 3, 2021 · BIOINF 07-015: snoReport: Computational identification of snoRNAs with unknown targets. Jana Hertel, Ivo L. Hofacker, Peter F. Stadler.
Apr 19, 2013 · SnoReport is a software of detecting novel or orphan snoRNAs in RNA sequence data using sequence and structure information only without relying ...
snoSeeker: an advanced computational package for screening of guide and orphan snoRNA genes in the human genome.
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