The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Rfam: annotating non-coding RNAs in complete genomes
Open accessAbstract
Rfam is a comprehensive collection of non-coding RNA (ncRNA) families, represented by multiple sequence alignments and profile stochastic context-free grammars. Rfam aims to facilitate the identification and classification of new members of known sequence families, and distributes annotation of ncRNAs in over 200 complete genome sequences. The data provide the first glimpses of conservation of multiple ncRNA families across a wide taxonomic range. A small number of large families are essential in all three kingdoms of life, with large numbers of smaller families specific to certain taxa. Recent improvements in the database are discussed, together with challenges for the future. Rfam is available on the Web at http://www.sanger.ac.uk/Software/Rfam/ and http://rfam.wustl.edu/.
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Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
International Chicken Genome Sequencing Consortium (2004) · Nature · doi:10.1038/nature03154 · Cited by 2,750
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IMG: the integrated microbial genomes database and comparative analysis system
Markowitz, V. M., Chen, I.-M. A., Palaniappan, K., Chu, K., Szeto, E., Grechkin, Y., Ratner, A., Jacob, B., Huang, J., Williams, P., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1044 · Cited by 1,311
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Metadata
- Authors
- Griffiths-Jones, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-12-17
- Volume
- 33
- Issue
- Database issue
- Pages
- D121-D124
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2042881722
- Cited by
- 1,714
- References
- 4
- FWCI
- 22.52
- Type
- journal article
- Language
- en
- Open access
- green
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