miRNA Search Results

Deep sequencing reads for mature sequence MIMAT0009626
Stem-loop ID	sko-mir-125a
Mature ID	sko-miR-125a
Reads	sko-miR-125a Count RPM (mean number of reads per million) ...................AAUCCCUGAGACCCUAACUUGUG........................................................... 1 74.7 ....................AUCCCUGAGACCCUAACUUGUGA.......................................................... 11 822 ....................AUCCCUGAGACCCUAACUUGU............................................................ 2 149 ....................AUCCCUGAGACCCUAACUUGUG........................................................... 2 149 .....................UCCCUGAGACCCUAACUUGUGA.......................................................... 1436 1.07e+05 .....................UCCCUGAGACCCUAACUUGUG........................................................... 393 2.94e+04 .....................UCCCUGAGACCCUAACUUGU............................................................ 34 2.54e+03 .....................UCCCUGAGACCCUAACUUGUGAG......................................................... 5 374 .....................UCCCUGAGACCCUAACUUG............................................................. 1 74.7 ......................CCCUGAGACCCUAACUUGUGA.......................................................... 6 448 ......................CCCUGAGACCCUAACUUGUG........................................................... 1 74.7 .......................CCUGAGACCCUAACUUGUGA.......................................................... 1 74.7 CUCUAUAUGUGUAUUACCUAAUCCCUGAGACCCUAACUUGUGAGAAUUACCCAGCAUUCACAGGUUAGUGGCUUAGAAUUGGGUGGUGCAUUCAUAGCAAC ..((((..((((((((((((((..(((((.((((((((((((((............)))))))))))).))))))).))))))))))))))..)))).... (-41.70)

                       sko-miR-125a                                                                    Count     RPM (mean number of reads per million)
...................AAUCCCUGAGACCCUAACUUGUG...........................................................  1         74.7
....................AUCCCUGAGACCCUAACUUGUGA..........................................................  11        822
....................AUCCCUGAGACCCUAACUUGU............................................................  2         149
....................AUCCCUGAGACCCUAACUUGUG...........................................................  2         149
.....................UCCCUGAGACCCUAACUUGUGA..........................................................  1436      1.07e+05
.....................UCCCUGAGACCCUAACUUGUG...........................................................  393       2.94e+04
.....................UCCCUGAGACCCUAACUUGU............................................................  34        2.54e+03
.....................UCCCUGAGACCCUAACUUGUGAG.........................................................  5         374
.....................UCCCUGAGACCCUAACUUG.............................................................  1         74.7
......................CCCUGAGACCCUAACUUGUGA..........................................................  6         448
......................CCCUGAGACCCUAACUUGUG...........................................................  1         74.7
.......................CCUGAGACCCUAACUUGUGA..........................................................  1         74.7
CUCUAUAUGUGUAUUACCUAAUCCCUGAGACCCUAACUUGUGAGAAUUACCCAGCAUUCACAGGUUAGUGGCUUAGAAUUGGGUGGUGCAUUCAUAGCAAC
..((((..((((((((((((((..(((((.((((((((((((((............)))))))))))).))))))).))))))))))))))..)))).... (-41.70)

miRBase

Deep sequencing reads for mature sequence MIMAT0009626

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References

References
1	PMID:19196333 "The deep evolution of metazoan microRNAs" Wheeler BM, Heimberg AM, Moy VN, Sperling EA, Holstein TW, Heber S, Peterson KJ Evol Dev. 11:50-68(2009).