@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 {6886, title = {Pfam: the protein families database.}, journal = {Nucleic acids research}, volume = {42}, year = {2014}, month = {2014 Jan}, pages = {D222-30}, abstract = {Pfam, available via servers in the UK (http://pfam.sanger.ac.uk/) and the USA (http://pfam.janelia.org/), is a widely used database of protein families, containing 14 831 manually curated entries in the current release, version 27.0. Since the last update article 2 years ago, we have generated 1182 new families and maintained sequence coverage of the UniProt Knowledgebase (UniProtKB) at nearly 80\%, despite a 50\% increase in the size of the underlying sequence database. Since our 2012 article describing Pfam, we have also undertaken a comprehensive review of the features that are provided by Pfam over and above the basic family data. For each feature, we determined the relevance, computational burden, usage statistics and the functionality of the feature in a website context. As a consequence of this review, we have removed some features, enhanced others and developed new ones to meet the changing demands of computational biology. Here, we describe the changes to Pfam content. Notably, we now provide family alignments based on four different representative proteome sequence data sets and a new interactive DNA search interface. We also discuss the mapping between Pfam and known 3D structures.}, keywords = {Databases, DNA, Internet, Intrinsically Disordered Proteins, Protein, Protein Conformation, Proteins, Proteome, Sequence Alignment, Sequence Analysis}, issn = {1362-4962}, doi = {10.1093/nar/gkt1223}, author = {Finn, Robert D and Bateman, Alex and Clements, Jody and Coggill, Penelope and Eberhardt, Ruth Y and Sean R. Eddy and Heger, Andreas and Hetherington, Kirstie and Holm, Liisa and Mistry, Jaina and Sonnhammer, Erik L L and Tate, John and Punta, Marco} } @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 {6296, title = {The Pfam protein families database.}, journal = {Nucleic acids research}, volume = {40}, year = {2012}, month = {2012 Jan}, pages = {D290-301}, abstract = {

Pfam is a widely used database of protein families, currently containing more than 13,000 manually curated protein families as of release 26.0. Pfam is available via servers in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/). Here, we report on changes that have occurred since our 2010 NAR paper (release 24.0). Over the last 2 years, we have generated 1840 new families and increased coverage of the UniProt Knowledgebase (UniProtKB) to nearly 80\%. Notably, we have taken the step of opening up the annotation of our families to the Wikipedia community, by linking Pfam families to relevant Wikipedia pages and encouraging the Pfam and Wikipedia communities to improve and expand those pages. We continue to improve the Pfam website and add new visualizations, such as the {\textquoteright}sunburst{\textquoteright} representation of taxonomic distribution of families. In this work we additionally address two topics that will be of particular interest to the Pfam community. First, we explain the definition and use of family-specific, manually curated gathering thresholds. Second, we discuss some of the features of domains of unknown function (also known as DUFs), which constitute a rapidly growing class of families within Pfam.

}, keywords = {Amino Acid, Databases, Encyclopedias as Topic, Internet, Protein, Protein Structure, Proteins, Sequence Homology, Tertiary}, issn = {1362-4962}, doi = {10.1093/nar/gkr1065}, author = {Punta, Marco and Coggill, Penny C and Eberhardt, Ruth Y and Mistry, Jaina and Tate, John and Boursnell, Chris and Pang, Ningze and Forslund, Kristoffer and Ceric, Goran and Clements, Jody and Heger, Andreas and Holm, Liisa and Sonnhammer, Erik L L and Sean R. Eddy and Bateman, Alex and Finn, Robert D} } @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 {4253, title = {The Pfam protein families database.}, journal = {Nucleic Acids Research}, volume = {38}, year = {2010}, month = {2010 Jan}, pages = {D211-22}, abstract = {

Pfam is a widely used database of protein families and domains. This article describes a set of major updates that we have implemented in the latest release (version 24.0). The most important change is that we now use HMMER3, the latest version of the popular profile hidden Markov model package. This software is approximately 100 times faster than HMMER2 and is more sensitive due to the routine use of the forward algorithm. The move to HMMER3 has necessitated numerous changes to Pfam that are described in detail. Pfam release 24.0 contains 11,912 families, of which a large number have been significantly updated during the past two years. Pfam is available via servers in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/).

}, keywords = {Amino Acid, Amino Acid Sequence, Animals, Archaeal, Computational Biology, Databases, Fungal, Genome, Humans, Information Storage and Retrieval, Internet, Molecular Sequence Data, Nucleic Acid, Protein, Protein Structure, Sequence Alignment, Sequence Homology, Software, Tertiary}, issn = {1362-4962}, doi = {10.1093/nar/gkp985}, author = {Finn, Robert D and Mistry, Jaina and Tate, John and Coggill, Penny and Heger, Andreas and Pollington, Joanne E and Gavin, O Luke and Gunasekaran, Prasad and Ceric, Goran and Forslund, Kristoffer and Holm, Liisa and Sonnhammer, Erik L L and Eddy, Sean R. and Bateman, Alex} } @article {45849, title = {The Pfam protein families database.}, journal = {Nucleic Acids Research}, volume = {36}, year = {2008}, month = {2008 Jan}, pages = {D281-8}, abstract = {

Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI GenPept and on sequences from selected metagenomics projects. Pfam is available on the web from the consortium members using a new, consistent and improved website design in the UK (http://pfam.sanger.ac.uk/), the USA (http://pfam.janelia.org/) and Sweden (http://pfam.sbc.su.se/), as well as from mirror sites in France (http://pfam.jouy.inra.fr/) and South Korea (http://pfam.ccbb.re.kr/).

}, keywords = {Animals, Databases, Protein, Genomics, Internet, Protein Structure, Tertiary, Proteins, Sequence Alignment, Sequence Analysis, Protein, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkm960}, author = {Finn, Robert D and Tate, John and Mistry, Jaina and Coggill, Penny C and Sammut, Stephen John and Hotz, Hans-Rudolf and Ceric, Goran and Forslund, Kristoffer and Eddy, Sean R and Sonnhammer, Erik L L and Bateman, Alex} }