The Bencao (Herbal) Database(本草数据库)
miRNA_Atlas(miRNA地图)
sRNA_Atlas(sRNA地图)
miRNA_Target(miRNA靶基因)
sRNA_Target(sRNA靶基因)
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About(关于)
OmicsAtlas
TranscriptomeAtlas
miRNA Atlas
miR159
rcr-miR159bd
Accession:
B57020573
Entry
Homologs
Rfam Alignments
Targets
Entry
ID:
rcr-miR159bd
Alias:
F27972.K000066.A25*
Sequence:
UGGACUGAAGGGAGCUCCCU
Description:
microRNA MIR159 predicted
Species:
大花红景天
  Species latin name:
Rhodiola crenulata
TCM Name:
Hongjingtian(红景天)
TCM Resource (Sample number):
红景天(1)
Predicted by
Mirnovo
:
-
Evidence support:
Infernal
Experimental status:
Not yet
Homologs
miRBase Homologs
None
Bencao Homologs
aan-miR159l
;
bmj-miR159q
;
ccs-miR159bf
;
ili-miR159h
;
psu-miR159av
;
pvl-miR159au
;
rcr-miR159bd
;
sgl-miR159o
;
twi-miR159m
;
zof-miR159i
;
Rfam Alignments
>> MIR159  microRNA MIR159
 rank     E-value  score  bias mdl mdl from   mdl to       seq from      seq to       acc trunc   gc
 ----   --------- ------ ----- --- -------- --------    ----------- -----------      ---- ----- ----
  (1) !    0.0025   18.4   0.0  cm      166      185 ~~           1          20 + ~~ 1.00 5'&3' 0.60
                                                                 ???????  ????????          NC
                                                          ~~~~~~~>>>>>>>-->>>>>>>>:::~~~~~~ CS
                                               MIR159   1 <[165]*UGGAcuGAAGGGAGCUCCuu*[11]> 196
                                                                 UGGACUGAAGGGAGCUCC+U
                                          zof-miR159i   1 <[  0]*UGGACUGAAGGGAGCUCCCU*[ 0]> 20
                                                          .......********************...... PP
Targets
Predicted by TargetFinder
NM_001005407
;  
NM_001171740
;  
NM_001171741
;  
NM_001243540
;  
NM_001243541
;  
NM_001284292
;  
NM_001284293
;  
NM_001286191
;  
NM_001286192
;  
NM_001286195
;  
NM_001286196
;  
NM_001286197
;  
NM_001286198
;  
NM_001319035
;  
NM_001320766
;  
NM_007110
;  
NM_014906
;  
NM_015565
;  
NM_015603
;  
NM_016210
;  
NM_021098
;  
NM_022895
;  
NM_175741
;  
NR_003682
;  
NR_048561
;  
NR_104409
;  
Predicted by TAPIR
NM_001005407
;  
NM_001143984
;  
NM_001166347
;  
NM_001166348
;  
NM_001166349
;  
NM_001171740
;  
NM_001171741
;  
NM_001243540
;  
NM_001243541
;  
NM_001284292
;  
NM_001284293
;  
NM_001286191
;  
NM_001286192
;  
NM_001286195
;  
NM_001286196
;  
NM_001286197
;  
NM_001286198
;  
NM_001319035
;  
NM_001320766
;  
NM_001321920
;  
NM_001321922
;  
NM_001321923
;  
NM_001351089
;  
NM_001351090
;  
NM_001351091
;  
NM_001351092
;  
NM_001367846
;  
NM_003076
;  
NM_007110
;  
NM_015565
;  
NM_015603
;  
NM_016210
;  
NM_020447
;  
NM_021098
;  
NM_022465
;  
NM_022781
;  
NM_022895
;  
NM_033208
;  
NM_139071
;  
NM_173626
;  
NM_175732
;  
NM_175741
;  
NM_194293
;  
NM_194328
;  
NM_194329
;  
NM_194330
;  
NM_194332
;  
NR_003682
;  
NR_104409
;  
NR_120363
;  
NR_135841
;  
NR_135842
;  
NR_135843
;  
NR_135844
;  
NR_135845
;  
NR_135846
;  
NR_135847
;  
NR_135848
;  
NR_135849
;  
NR_135850
;  
NR_135851
;  
NR_135852
;  
NR_135853
;  
NR_135854
;