Rfam 14.2 (April 2023,
3024 families)
The Rfam database is a collection of RNA families, each represented by multiple
sequence alignments, consensus secondary structures and 手机云末vpm下载.
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Rfam families are frequently built from external sources, we ask
that if you find a particular family useful for your work that
you cite both Rfam and the primary source of our data.
If you see anything wrong with any of our alignments or
structures or there is a family that you know of missing from
Rfam please
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with a suggested correction. If you see anything incorrect or omitted
from the Wikipedia
entries we display and link to then be brave and edit the entry; you
might also consider joining the
WikiProject RNA.
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- Analyze your RNA sequence for Rfam matches
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- Or view the help pages for
more information
佛跳墙vn破解蓝奏云
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Enter a family identifier or accession to see all data for that family.
佛跳墙vn破解蓝奏云
Enter a family identifier or accession to see all data for that family.
佛跳墙vn破解蓝奏云
Enter a sequence identifier or accession.
佛跳墙vn破解蓝奏云
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You can also use the
keyword search box at the top of every page.
This option will be removed soon - try new search instead
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Search for families or sequences from NCBI taxonomic classes in the Rfam database.
佛跳墙vn破解蓝奏云
佛跳墙vn破解蓝奏云
If you find Rfam useful, please consider
citing the references
that describe this work:
Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families.
Ioanna Kalvari, Joanna Argasinska, Natalia Quinones-Olvera, Eric P. Nawrocki, Elena Rivas, Sean R. Eddy, Alex Bateman, Robert D. Finn, Anton I. Petrov
Nucleic Acids Research (2017)
10.1093/nar/gkx1038
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Ioanna Kalvari, Eric P. Nawrocki, Joanna Argasinska, Natalia Quinones-Olvera, Robert D. Finn, Alex Bateman and Anton I. Petrov
Current Protocols in Bioinformatics (2018)
10.1002/cpbi.51
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