A comprehensive database for the small nucleolar RNAs from Saccharomyces cerevisiae
Authors: Samarsky, Dmitry A.; Fournier, Maurille J.
Source: Nucleic Acids Research, Volume 27, Number 1, 01 January 1999 , pp. 161-164(4)
Publisher: Oxford University Press
Abstract:Small nucleolar RNAs (snoRNAs) are involved in cleavage of rRNA, modification of rRNA nucleotides and, perhaps, other aspects of ribosome biogenesis in eukaryotic cells. Scores of snoRNAs have been discovered in recent years from various eukaryotes, and the total number is predicted to be up to 200 different snoRNA species per individual organism. We have created a comprehensive database for snoRNAs from the yeast Saccharomyces cerevisiae which allows easy access to detailed information about each species known (almost 70 snoRNAs are featured). The database consists of three major parts: (i) a utilities section; (ii) a master table; and (iii) a collection of tables for the individual snoRNAs. The utilities section provides an introduction to the database. The master table lists all known S.cerevisiae snoRNAs and their major properties. Information in the individual tables includes: alternate names, size, family classification, genomic organization, sequences (with major features identified), GenBank accession numbers, occurrence of homologues, gene disruption phenotypes, functional properties and associated RNAs and proteins. All information is accompanied with appropriate literature references. The database is available on the World Wide Web (http://www.bio.umass.edu/biochem/rna-sequence/Yeast_snoRNA_Database/snoRNA_DataBase.html ), and should be useful for a wide range of snoRNA studies.
Document Type: Research article
Publication date: 1999-01-01
- Nucleic Acids Research (NAR) is a fully Open Access journal, providing rapid publication of leading edge research into the nucleic acids under the following categories: chemistry, computational biology, genomics, molecular biology, nucleic acid enzymes, RNA and structural biology. There is a Survey and Summary section, and methods papers are published
in NAR Methods Online. Each year the first issue is devoted to biological databases, and a later issue to relevant web-based software resources.