TarDB: A miRNA Target Database in Plants.


TarDB employs cross-species conservation filter, degradome and sRNA-seq data to identify high-confidence miRNA targets in plants.

miRNA Family

miRNA
Species
Sequence
UUUGGAUUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
AGAGCUUCCUUGAGUCCAUUC
UUGGACUGAAGGGAGCUCCCU
AGAGCUUUCUUCGGUCCACUC
UUGGACUGAAGGGAGCUCCUU
UUGGACUGAAGGGAGCUCCUU
UUUGGAUUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCUU
UUGGACUGAAGGGAGCUCCC
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCC
UUUGGACUGAAGGGAGCUCCU
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGUGCUCCCU
AGAGCUCUCUUCAGUCCACUC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAACUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCUU
UUGGACUGAAGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCUUC
CUUGGAUUGAAGGGAGCUCC
AUUGGACUGAAGGGAGCUCC
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
AGCUGCCGACUCAUUCAUUCA
CUUGGACUGAAGGGAGCUCCC
GAGCUUUCUUCGGUCCACUU
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCUU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
AUUGGAUUGAAGGGAGCUCCC
UUUGGACUGAAGGGAGCUCCU
AUUGGAGUGAAGGGAGCU
AUUGGAGUGAAGGGAGCU
AUUGGAGUGAAGGGAGCUCCA
AUUGGAGUGAAGGGAGCUCCG
AUUGGAGUGAAGGGAGCUCCA
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCU
UGGACUGAAGGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCCU
UUUGGACCGAAGGGAGCCCCU
UGGACUGAAGGGGAGCUCCUUC
UUUUGGACUGAAGGGAGCUCC
UGGACUGAAGGGAGCUCCUUC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCC
CUUGGAUUGAAGGGAGCUCC
CUUGGAUUGAAGGGAGCUCC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
CUUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGAUUGAAGGGAGCUCC
CUUGGAUUGAAGGGAGCUCC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
GAGCUUUCUUCAGUCCACUC
GAGCUCUUCUUCAGUCCAGUCC
GAGCUUUCUUCAGUCCACUC
GAGCUUUCUUCAGUCCACUC
GAGCUUUCUUCAGUCCACUC
GAGCUCUUCUUCAGUCCAGUCC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
AUUGGACUGAAGGGAGCUCC
UUGGACUGAAGGGAGCUCCUU
CUUGGACUGAAGGGAGCUCCU
AUUGGAGUGAAGGGAGCUCCA
UUGGACUGAAGGGAGCUCCC
AGAGCUUCCUUCAGUCCACUC
UUGGACUGAAGGGAGCUCCC
GAGCUUUCUUUAGUCCACUCA
UUGGACUGAAGGGAGCUCCCA
UUGGACUGAAGGGAGCUCCCU
AGAGCUCUCUUCAGUCCACUC
AUUGGAUUGAAGGGAGCUCCG
AUUGGAUUGAAGGGAGCUCCU
ACUGGAUGACGCGGGAGCUAA
UUGGACUGAAGGGUGCUCCC
AGCUGCCGAAUCAUCCAUUCA
UUGGACUGAAGGGUGCUCCC
UUGGACUGAAGGGUGCUCCCU
UUGGACUGAAGGGAGCUCCC
UAGCUGCCGAGUCAUUCAUCCA
CUUGGACUGAAGGGAGCUCC
CUUGGACUGAAGGGAGCUCC
CUUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGACUGAAGGGAGCUCCC
CUUGGAUUGAAGGGAGCUCCU
CUUGGGGUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCC
UUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCU
UUGGGCUGAAGGGAGCUCCC
UUGGACUGAAGGGUGCUCCCU
UUGGACUGAAGGGUGCUCCCU
AUUGGAUGGCGCGGGAGCUAA
UUGGACUGAAGGGAGCUCCUU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCUU
CUUGGAUUGAAGGGAGCUCCU
UUGGACUGAAGGGUGCUCCC
UUGGACUGAAGGGUGCUCCC
CUUGGACUGAAGGGAGCUCC
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCUU
AGAGCUUCCUUCAGCCCACUC
AGGAAACUGUUUAGUCCAACC
CUUGGAUUGAAGGGAGCUCCC
UGCUGCCGACUCAUGCAUCC
UUGGACUGAAGGGUUCCCUUC
AGGAAACUGUUUAGUCCAACC
UUGGACUGAAGGGAGCUCCCU
AGAGCUUUCUUCGGUCCACAC
UUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCU
UUUGGACUGAAGGGAGCUCCU
UUGGACUGAAGGGAGCUCCCU
UUGGACUGAAGGGAGCUCCCA
CUUGGAUUGAAGGGAGCUCCU
CUUGGAUUGAAGGGAGCUCCU
UUGGACUGAAGGGUGCUCCC
GAGCUCUCUUCAGUCCACUC
UUGGACUGAAGGGUGCUCCC
AGAGCGUCCUUCAGUCCACUC
UUGGACUGAAGGGUGCUCCC
GAGCUCUCUUCAGUCCACUC
UUGGACUGAAGGGUGCUCCC
AGAGCGUCCUUCAGUCCACUC
UGGGAGAUGAAGGAGCCUU
UUGGACUGAAGGGUGCUCCC