0  structures 105  species 398  sequences

Family: SNORA62 (RF00091)

Description: Small nucleolar RNA SNORA62/SNORA6 family



This family is a member of clan (CL00040), which contains the following 4 members:

SNORA62 snR3 snR82 S_pombe_snR3

Wikipedia annotation Edit Wikipedia article

The Rfam group coordinates the annotation of Rfam families in Wikipedia. This family is described by a Wikipedia entry Small nucleolar RNA SNORA62. More...

This page is based on a Wikipedia article. The text is available under the Creative Commons Attribution/Share-Alike License.



There are various ways to view or download the seed alignments that we store. You can use a sequence viewer to look at them, or you can look at a plain text version of the sequence in a variety of different formats. More...

View options

You can view Rfam seed alignments in your browser in various ways. Choose the viewer that you want to use and click the "View" button to show the alignment in a pop-up window.


Formatting options

You can view or download Rfam seed alignments in several formats. Check either the "download" button, to save the formatted alignment, or "view", to see it in your browser window, and click "Generate".

Alignment format:


Download a gzip-compressed, Stockholm-format file containing the seed alignment for this family. You may find RALEE useful when viewing sequence alignments.

Submit a new alignment

We're happy receive updated seed alignments for new or existing families. Submit your new alignment and we'll take a look.

Secondary structure

This section shows a variety of different secondary structure representations for this family. More...

You can view the secondary structure of the family using the VARNA applet. You can see more information about VARNA iself here.

Species distribution

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Colour assignments

Archea Archea Eukaryota Eukaryota
Bacteria Bacteria Other sequences Other sequences
Viruses Viruses Unclassified Unclassified
Viroids Viroids Unclassified sequence Unclassified sequence


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This visualisation provides a simple graphical representation of the distribution of this family across species. You can find the original interactive tree in the adjacent tab. More...

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The tree shows the occurrence of this RNA across different species. More...


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This page displays the predicted phylogenetic tree for the alignment. More...

This tree was built using the fasttree method.

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This section shows the database cross-references that we have for this Rfam family.

Literature references

  1. Selvamurugan N, Eliceiri GL Genomics 1995;30:400-401. The gene for human E2 small nucleolar RNA resides in an intron of a laminin-binding protein gene. PUBMED:8586453

  2. Mishra RK, Eliceiri GL Proc Natl Acad Sci U S A 1997;94:4972-4977. Three small nucleolar RNAs that are involved in ribosomal RNA precursor processing. PUBMED:9144174

  3. Kiss AM, Jady BE, Bertrand E, Kiss T; Mol Cell Biol 2004;24:5797-5807. Human box H/ACA pseudouridylation guide RNA machinery. PUBMED:15199136

  4. Huttenhofer A, Kiefmann M, Meier-Ewert S, O'Brien J, Lehrach H, Bachellerie JP, Brosius J; EMBO J 2001;20:2943-2953. RNomics: an experimental approach that identifies 201 candidates for novel, small, non-messenger RNAs in mouse. PUBMED:11387227

  5. Lestrade L, Weber MJ; Nucleic Acids Res. 2006;34:D158-D162. snoRNA-LBME-db, a comprehensive database of human H/ACA and C/D box snoRNAs. PUBMED:16381836

External database links

Curation and family details

This section shows the detailed information about the Rfam family. We're happy to receive updated or improved alignments for new or existing families. Submit your new alignment and we'll take a look.


Seed source Griffiths-Jones SR
Structure source Predicted; PFOLD; Moxon SJ
Type Gene; snRNA; snoRNA; HACA-box;
Author Griffiths-Jones SRORCID logo, Moxon SJORCID logo, Daub JORCID logo
Alignment details
Alignment Number of
full 380
seed 18

Model information

Build commands
cmbuild -F CM SEED
cmcalibrate --mpi CM
Search command
cmsearch --cpu 4 --verbose --nohmmonly -T 20.00 -Z 549862.597050 CM SEQDB
Gathering cutoff 80.0
Trusted cutoff 80.1
Noise cutoff 79.9
Covariance model Download