An Rfam clan is a group of families that either share a common ancestor but are too divergent to be reasonably aligned or a group of families that could be aligned, but have distinct functions. For example, the LSU clan (CL00112) includes 5 families describing different types of large ribosomal subunit RNAs, including bacterial, eukaryotic, and archaeal LSU families.
A general purpose multiple sequence alignment program for DNA (RNA) which we use while building our SEED alignments. See the Clustal web server.
A secondary structure profile for a RNA structural alignment (also called profile stochastic context-free grammars). Find out more about Covariance models and stochastic context-free grammars.
Each family is described using in a
DESC file that includes the information such as family description, database references, RNA type, and publications (see the tRNA DESC file as an example).
A group of RNA sequences which are believed to be evolutionarily related in sequence or secondary structure.
An alignment of the set of related sequences which score higher than the manually set threshold values for the covariance model of a particular Rfam family.
As of Rfam 12.0, we no longer automatically generate full alignments for each Rfam family. You may download the Rfam CM and generate your own alignments using Infernal. For details about generating a full alignment, see the Rfam CPB paper.
The bit score gathering threshold (GA cutoff), set by Rfam curators when building the family. All sequences that score at or above this threshold will be included in the full alignment and are believed to be true homologs to the model. For more information see Nawrocki et al., 2015.
Infernal is the core software that enables us to make consensus RNA secondary structure profiles (covariance models (CMs)) for our families. We also use Infernal for searching sequence databases for homologous RNAs. See the Infernal website for more details.
RNA structure prediction algorithm which utilises minimum free energy information. See the MFOLD website.
RNA folding software which folds alignments using a Stochastic Context-Free Grammars (SCFG) trained on rRNA alignments. It takes an alignment of RNA sequences as input and predicts a common structure for all sequences. See the Pfold website.
Rfamseq is the underlying nucleotide sequence database on which Rfam is based. Starting with Rfam 13.0, rfamseq is based on a collection of complete, non-redundant, and representative genomes maintained by UniProt (find out more in the Rfam 13.0 paper).
rfamseq is usually updated with each major Rfam release, e.g., 12.0 or 13.0. You can find out the information about rfamseq currently in use in the README file in the Rfam FTP archive.
Folds pre-computed alignments using a combination of free-energy and covariation measures. Part of the Vienna package.
R-scape is a method for testing whether covariation analysis supports the presence of a conserved RNA secondary structure in a multiple sequence alignment. R-scape is used to create and improve Rfam families, and R-scape visualisations are shown on the secondary structure tab for each family (for example, SAM riboswitch).
A manually curated sample of representative sequences for a family. These sequences are aligned and annotated with a consensus secondary structure. This alignment is used to build the covariance model for the family. See Seed alignments and secondary structure annotation for more information.
A single segment of nucleotide sequence in our alignments. Multiple sequence regions from a single EMBL sequence may be in the same family.
A multiple sequence alignment format used by Rfam (and Pfam) for the dissemination of protein and RNA sequence alignments. For more information see the Wikipedia article on Stockholm format or the Rfam tRNA alignment.
A simple functional classification used to organise Rfam families into RNA types. This ontology does not current directly relate to the ontologies used by other databases. For a full list of RNA types see the Search by entry type section.
A software tool that enables us to simultaneously run several different methods for performing multiple alignment and secondary structure prediction for non-coding RNA sequences. See the WAR website.
The Washington University Secondary Structure (WUSS) format is designed to make it easier to see the secondary structure by eye and follows the following conventions:
||basepairs in simple stem loops|
||basepairs enclosing multifurcations|
||internal loops and bulges|
||single strand between helices|
||single stranded residues external to any secondary structure|
||insertions relative to the consensus|