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species
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cell type
gene
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NOTE: search by id.
Examples.
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EXAMPLES:
species
Danio rerio
tissue
pituitary
cell type
Erythroid cells
gene
ENSDARG00000077809
il13
project
GSE158142
dataset
GSE158142 (20hpf)
GENE ID: ENSDARG00000009702
Symbol
Location
Gene type
Genome version
Species
ascl1b
7: 49695904 ~ 49715154 (+)
protein_coding
GRCz11
Danio rerio
Notice the +/- strand.
Display format: symbol/gene id: RNA id. (Except when gene id is similar to RNA id.)
You can browse transcripts by dragging.
A more detailed transcript can be viewed by the zoom button in the upper right corner.
Click on the transcript to obtain the sequence.
PPI (protein-protein interaction) results are shown above.
Green is
ENSDARG00000009702 (
ascl1b
)
, yellow represents other genes.
Hover over the node can see the symbol/gene ID it represents.
The more connections, the bigger symbol size.
List of Related Genes
×
List of Related Genes
Gene ID
Symbol
Location
ENSDARG00000038386
ascl1a
4: 17417111 ~ 17419193 (+)
ENSDARG00000009702
ascl1b
7: 49695904 ~ 49715154 (+)
ENSDARG00000053364
pax10
3: 32546499 ~ 32565883 (+)
ENSDARG00000014420
elavl3
3: 46800190 ~ 46818001 (-)
ENSDARG00000006514
her6
6: 36551083 ~ 36552844 (-)
ENSDARG00000038894
tmx3a
2: 27318174 ~ 27330181 (-)
ENSDARG00000020794
neurod6b
2: 50608099 ~ 50629155 (+)
ENSDARG00000019566
neurod1
9: 44291721 ~ 44295071 (-)
ENSDARG00000052673
sept7b
16: 47389539 ~ 47427016 (-)
ENSDARG00000090464
taar14h
20: 46250944 ~ 46252080 (+)
ENSDARG00000056130
neurog1
14: 26703331 ~ 26704829 (-)
ENSDARG00000075909
slc35f3a
12: 30723178 ~ 30756585 (+)
ENSDARG00000039602
atoh1c
12: 11768114 ~ 11768889 (-)
ENSDARG00000054797
zgc:153441
19: 42418227 ~ 42424599 (-)
ENSDARG00000078068
abcg4b
15: 23487730 ~ 23508214 (-)
ENSDARG00000003469
neurod4
23: 28343988 ~ 28347039 (-)
ENSDARG00000058011
arxa
24: 23936829 ~ 23942722 (-)
ENSDARG00000040008
neurod6a
24: 32411753 ~ 32474949 (+)
ENSDARG00000101567
guca1e
22: 1092479 ~ 1109547 (+)
ENSDARG00000099564
atoh1b
KN150642.1: 9441 ~ 10244 (+)
This gene was not detected in any single-cell datasets!
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