@article {46185, title = {Rfam 12.0: updates to the RNA families database.}, journal = {Nucleic Acids Research}, volume = {43}, year = {2015}, month = {2015 Jan 28}, pages = {D130-7}, abstract = {

The Rfam database (available at http://rfam.xfam.org) is a collection of non-coding RNA families represented by manually curated sequence alignments, consensus secondary structures and annotation gathered from corresponding Wikipedia, taxonomy and ontology resources. In this article, we detail updates and improvements to the Rfam data and website for the Rfam 12.0 release. We describe the upgrade of our search pipeline to use Infernal 1.1 and demonstrate its improved homology detection ability by comparison with the previous version. The new pipeline is easier for users to apply to their own data sets, and we illustrate its ability to annotate RNAs in genomic and metagenomic data sets of various sizes. Rfam has been expanded to include 260 new families, including the well-studied large subunit ribosomal RNA family, and for the first time includes information on short sequence- and structure-based RNA motifs present within families.

}, issn = {1362-4962}, doi = {10.1093/nar/gku1063}, author = {Nawrocki, Eric P and Burge, Sarah W and Bateman, Alex and Daub, Jennifer and Eberhardt, Ruth Y and Eddy, Sean R and Floden, Evan W and Gardner, Paul P and Jones, Thomas A and Tate, John and Finn, Robert D} } @article {6298, title = {Rfam 11.0: 10 years of RNA families.}, journal = {Nucleic Acids Research}, volume = {41}, year = {2013}, month = {2013 Jan}, pages = {D226-32}, abstract = {

The Rfam database (available via the website at http://rfam.sanger.ac.uk and through our mirror at http://rfam.janelia.org) is a collection of non-coding RNA families, primarily RNAs with a conserved RNA secondary structure, including both RNA genes and mRNA cis-regulatory elements. Each family is represented by a multiple sequence alignment, predicted secondary structure and covariance model. Here we discuss updates to the database in the latest release, Rfam 11.0, including the introduction of genome-based alignments for large families, the introduction of the Rfam Biomart as well as other user interface improvements. Rfam is available under the Creative Commons Zero license.

}, keywords = {Base Sequence, Databases, Genomics, Internet, Molecular Sequence Annotation, Nucleic Acid, Nucleic Acid Conformation, RNA, Sequence Alignment, Untranslated, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gks1005}, author = {Burge, Sarah W and Daub, Jennifer and Eberhardt, Ruth and Tate, John and Barquist, Lars and Nawrocki, Eric P and Eddy, Sean R. and Gardner, Paul P and Bateman, Alex} } @article {6503, title = {Making your database available through Wikipedia: the pros and cons.}, journal = {Nucleic Acids Research}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D9-12}, abstract = {

Wikipedia, the online encyclopedia, is the most famous wiki in use today. It contains over 3.7 million pages of content; with many pages written on scientific subject matters that include peer-reviewed citations, yet are written in an accessible manner and generally reflect the consensus opinion of the community. In this, the 19th Annual Database Issue of Nucleic Acids Research, there are 11 articles that describe the use of a wiki in relation to a biological database. In this commentary, we discuss how biological databases can be integrated with Wikipedia, thereby utilising the pre-existing infrastructure, tools and above all, large community of authors (or Wikipedians). The limitations to the content that can be included in Wikipedia are highlighted, with examples drawn from articles found in this issue and other wiki-based resources, indicating why other wiki solutions are necessary. We discuss the merits of using open wikis, like Wikipedia, versus other models, with particular reference to potential vandalism. Finally, we raise the question about the future role of dedicated database biocurators in context of the thousands of crowdsourced, community annotations that are now being stored in wikis.

}, keywords = {Databases, Encyclopedias as Topic, Factual, Internet, Systems Integration}, issn = {1362-4962}, doi = {10.1093/nar/gkr1195}, author = {Finn, Robert D and Gardner, Paul P and Bateman, Alex} } @article {1927, title = {Rfam: Wikipedia, clans and the "decimal" release.}, journal = {Nucleic Acids Research}, volume = {39}, year = {2011}, month = {2011 Jan}, pages = {D141-5}, abstract = {

The Rfam database aims to catalogue non-coding RNAs through the use of sequence alignments and statistical profile models known as covariance models. In this contribution, we discuss the pros and cons of using the online encyclopedia, Wikipedia, as a source of community-derived annotation. We discuss the addition of groupings of related RNA families into clans and new developments to the website. Rfam is available on the Web at http://rfam.sanger.ac.uk.

}, issn = {1362-4962}, doi = {10.1093/nar/gkq1129}, author = {Gardner, Paul P and Daub, Jennifer and Tate, John and Moore, Benjamin L and Osuch, Isabelle H and Griffiths-Jones, Sam and Finn, Robert D and Nawrocki, Eric P and Kolbe, Diana L and Eddy, Sean R. and Bateman, Alex} } @article {4485, title = {RNIE: genome-wide prediction of bacterial intrinsic terminators.}, journal = {Nucleic Acids Research}, volume = {39}, year = {2011}, month = {2011 Aug}, pages = {5845-52}, abstract = {

Bacterial Rho-independent terminators (RITs) are important genomic landmarks involved in gene regulation and terminating gene expression. In this investigation we present RNIE, a probabilistic approach for predicting RITs. The method is based upon covariance models which have been known for many years to be the most accurate computational tools for predicting homology in structural non-coding RNAs. We show that RNIE has superior performance in model species from a spectrum of bacterial phyla. Further analysis of species where a low number of RITs were predicted revealed a highly conserved structural sequence motif enriched near the genic termini of the pathogenic Actinobacteria, Mycobacterium tuberculosis. This motif, together with classical RITs, account for up to 90\% of all the significantly structured regions from the termini of M. tuberculosis genic elements. The software, predictions and alignments described below are available from http://github.com/ppgardne/RNIE.

}, keywords = {Bacterial, Base Sequence, Conserved Sequence, Genetic, Genome, Genomics, Models, Molecular Sequence Annotation, Mycobacterium tuberculosis, Software, Statistical, Terminator Regions}, issn = {1362-4962}, doi = {10.1093/nar/gkr168}, author = {Gardner, Paul P and Barquist, Lars and Bateman, Alex and Nawrocki, Eric P and Weinberg, Zasha} } @article {4266, title = {Rfam: updates to the RNA families database.}, journal = {Nucleic Acids Research}, volume = {37}, year = {2009}, month = {2009 Jan}, pages = {D136-40}, abstract = {

Rfam is a collection of RNA sequence families, represented by multiple sequence alignments and covariance models (CMs). The primary aim of Rfam is to annotate new members of known RNA families on nucleotide sequences, particularly complete genomes, using sensitive BLAST filters in combination with CMs. A minority of families with a very broad taxonomic range (e.g. tRNA and rRNA) provide the majority of the sequence annotations, whilst the majority of Rfam families (e.g. snoRNAs and miRNAs) have a limited taxonomic range and provide a limited number of annotations. Recent improvements to the website, methodologies and data used by Rfam are discussed. Rfam is freely available on the Web at http://rfam.sanger.ac.uk/and http://rfam.janelia.org/.

}, keywords = {Computer Graphics, Databases, Internet, Nucleic Acid, RNA, Sequence Alignment, Sequence Analysis}, issn = {1362-4962}, doi = {10.1093/nar/gkn766}, author = {Gardner, Paul P and Daub, Jennifer and Tate, John G and Nawrocki, Eric P and Kolbe, Diana L and Lindgreen, Stinus and Wilkinson, Adam C and Finn, Robert D and Griffiths-Jones, Sam and Eddy, Sean R. and Bateman, Alex} }