P
Peter Schattner
Researcher at University of California, Santa Cruz
Publications - 13
Citations - 4664
Peter Schattner is an academic researcher from University of California, Santa Cruz. The author has contributed to research in topics: RNA & Small nucleolar RNA. The author has an hindex of 11, co-authored 13 publications receiving 4354 citations.
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The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs
TL;DR: Online implementations of tRNAscan-SE, snoscan and snoGPS are described that make these RNA detection tools accessible to a wider range of research biologists.
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The Bioperl Toolkit: Perl Modules for the Life Sciences
Jason E. Stajich,David Block,David Block,Kris Boulez,Steven E. Brenner,Stephen A. Chervitz,Chris Dagdigian,Georg Fuellen,James G. R. Gilbert,Ian F Korf,Hilmar Lapp,Heikki Lehväslaiho,Chad Matsalla,Christopher J. Mungall,Brian I. Osborne,Matthew Pocock,Peter Schattner,Martin Senger,Lincoln Stein,Elia Stupka,Mark Wilkinson,Ewan Birney +21 more
TL;DR: The overall architecture of the Bioperl toolkit is described, the problem domains that it addresses, and specific examples of how the toolkit can be used to solve common life-sciences problems are given.
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Non-coding RNAs: hope or hype?
TL;DR: Results are reviewed that show that transcription of non-protein-coding RNA is far more widespread than was previously anticipated and may be evidence of important new biochemical pathways or are merely 'junk' RNA generated by the cell as a by-product of its functional activities.
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Genome-wide searching for pseudouridylation guide snoRNAs: analysis of the Saccharomyces cerevisiae genome
Peter Schattner,Wayne A. Decatur,Carrie A. Davis,Manuel Ares,Maurille J. Fournier,Todd M. Lowe +5 more
TL;DR: 41 of the 44 known pseudouridine modifications in S.cerevisiae rRNA have been linked with a verified snoRNA, providing the most complete accounting of the H/ACA snoRNAs that guide pseudouridylation in any species.
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Searching for RNA genes using base-composition statistics
TL;DR: The hypothesis that genomic regions rich in non-protein-coding RNAs (ncRNAs) can be identified using local variations in single-base and dinucleotide statistics has been investigated and 19 candidate ncRNAs were identified including one with significant homology to several known archaeal RNaseP RNAs.