The Comparative RNA Web (CRW) Site: An online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

Jamie J Cannone; Sankar Subramanian; Murray N Schnare; James R Collett; Lisa M D'Souza; Y Du; Brian Feng; Nan Lin; Lakshmi V Madabusi; Kirsten M Müller; Nupur Pande; Zhidi Shang; Nan Yu; Robin R Gutell

doi:10.1186/1471-2105-3-2

Back

The Comparative RNA Web (CRW) Site: An online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

Journal article

Open access

Peer reviewed

The Comparative RNA Web (CRW) Site: An online database of comparative sequence and structure information for ribosomal, intron, and other RNAs

Jamie J Cannone, Sankar Subramanian, Murray N Schnare, James R Collett, Lisa M D'Souza, Y Du, Brian Feng, Nan Lin, Lakshmi V Madabusi, Kirsten M Müller, …

BMC Bioinformatics, Vol.3, 2

2002

DOI: https://doi.org/10.1186/1471-2105-3-2

Files and links (2)

pdf

PDF - Published Version (Open Access)2.29 MBDownload View

Published VersionPDF - Published Version (Open Access) Open Access

url

https://doi.org/10.1186/1471-2105-3-2View

Published Version

Abstract

Comparative RNA Web (CRW)

RNA sequences

Background: Comparative analysis of RNA sequences is the basis for the detailed and accurate predictions of RNA structure and the determination of phylogenetic relationships for organisms that span the entire phylogenetic tree. Underlying these accomplishments are very large, well-organized, and processed collections of RNA sequences. This data, starting with the sequences organized into a database management system and aligned to reveal their higher-order structure, and patterns of conservation and variation for organisms that span the phylogenetic tree, has been collected and analyzed. This type of information can be fundamental for and have an influence on the study of phylogenetic relationships, RNA structure, and the melding of these two fields. Results: We have prepared a large web site that disseminates our comparative sequence and structure models and data. The four major types of comparative information and systems available for the three ribosomal RNAs (5S, 16S, and 23S rRNA), transfer RNA (tRNA), and two of the catalytic intron RNAs (group I and group II) are: (1) Current Comparative Structure Models; (2) Nucleotide Frequency and Conservation Information; (3) Sequence and Structure Data; and (4) Data Access Systems. Conclusions: This online RNA sequence and structure information, the result of extensive analysis, interpretation, data collection, and computer program and web development, is accessible at our Comparative RNA Web (CRW) Site [http://www.rna.icmb.utexas.edu] . In the future, more data and information will be added to these existing categories, new categories will be developed, and additional RNAs will be studied and presented at the CRW Site. © 2002 Cannone et al; licensee BioMed Central Ltd.

Details

Title: The Comparative RNA Web (CRW) Site: An online database of comparative sequence and structure information for ribosomal, intron, and other RNAs
Authors: Jamie J Cannone (Author) - University of Texas at Austin, United States
Sankar Subramanian (Author) - Arizona State University, United States
Murray N Schnare (Author) - Dalhousie University, Canada
James R Collett (Author) - University of Texas at Austin, United States
Lisa M D'Souza (Author) - University of Texas at Austin, United States
Y Du (Author) - University of Texas at Austin, United States
Brian Feng (Author) - University of Texas at Austin, United States
Nan Lin (Author) - University of Texas at Austin, United States
Lakshmi V Madabusi (Author) - University of Texas at Austin, United States
Kirsten M Müller (Author) - University of Texas at Austin, United States
Nupur Pande (Author) - University of Texas at Austin, United States
Zhidi Shang (Author) - University of Texas at Austin, United States
Nan Yu (Author) - University of Texas at Austin, United States
Robin R Gutell (Author) - University of Texas at Austin, United States
Publication details: BMC Bioinformatics, Vol.3, 2; 31
Publisher: BioMed Central Ltd.
Date published: 2002
DOI: 10.1186/1471-2105-3-2
ISSN: 1471-2105
Copyright note: Copyright © 2002 Cannone et al; licensee BioMed Central Ltd. Verbatim copying and redistribution of this article are permitted in any medium for any purpose, provided this notice is preserved along with the article's original URL.
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
Language: English
Record Identifier: 99450912002621
Output Type: Journal article

Metrics

895 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites