Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells1485
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Numeric2
Categorical2
Text4

Dataset

Description국립생물자원관에서 유전정보와 관련된 연구사업을 수행하며 확보한 야생생물 게놈 서열로부터 판독된 유전자의 기능 예측 결과 관련된 목록 정보입니다.
Author환경부 국립생물자원관
URLhttps://www.data.go.kr/data/15089679/fileData.do

Alerts

관련종분류아이디 has constant value ""Constant
서열 고유아이디 has 1485 (14.8%) missing valuesMissing
유전자고유아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:11:44.124725
Analysis finished2023-12-12 06:11:45.539703
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유전자고유아이디
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47486.406
Minimum37
Maximum102910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:11:45.637413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile4928.1
Q123908
median46849
Q370839.5
95-th percentile90808.4
Maximum102910
Range102873
Interquartile range (IQR)46931.5

Descriptive statistics

Standard deviation27606.172
Coefficient of variation (CV)0.58134894
Kurtosis-1.1429307
Mean47486.406
Median Absolute Deviation (MAD)23468.5
Skewness0.054781284
Sum4.7486406 × 108
Variance7.6210072 × 108
MonotonicityNot monotonic
2023-12-12T15:11:45.853719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46650 1
 
< 0.1%
10018 1
 
< 0.1%
19163 1
 
< 0.1%
60383 1
 
< 0.1%
45048 1
 
< 0.1%
22113 1
 
< 0.1%
12159 1
 
< 0.1%
74702 1
 
< 0.1%
30393 1
 
< 0.1%
30453 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
37 1
< 0.1%
39 1
< 0.1%
44 1
< 0.1%
49 1
< 0.1%
61 1
< 0.1%
69 1
< 0.1%
87 1
< 0.1%
100 1
< 0.1%
129 1
< 0.1%
142 1
< 0.1%
ValueCountFrequency (%)
102910 1
< 0.1%
102906 1
< 0.1%
102877 1
< 0.1%
102857 1
< 0.1%
102851 1
< 0.1%
102844 1
< 0.1%
102833 1
< 0.1%
102820 1
< 0.1%
102805 1
< 0.1%
102800 1
< 0.1%

서열 고유아이디
Real number (ℝ)

MISSING 

Distinct2365
Distinct (%)27.8%
Missing1485
Missing (%)14.8%
Infinite0
Infinite (%)0.0%
Mean8799.6689
Minimum14
Maximum32289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:11:46.064408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile840
Q14484
median7746
Q313328
95-th percentile17404.4
Maximum32289
Range32275
Interquartile range (IQR)8844

Descriptive statistics

Standard deviation5443.8195
Coefficient of variation (CV)0.61863913
Kurtosis-0.99645838
Mean8799.6689
Median Absolute Deviation (MAD)4549
Skewness0.21627041
Sum74929181
Variance29635171
MonotonicityNot monotonic
2023-12-12T15:11:46.226306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16781 53
 
0.5%
4629 50
 
0.5%
17266 45
 
0.4%
17268 44
 
0.4%
16171 33
 
0.3%
15434 32
 
0.3%
13328 29
 
0.3%
5493 26
 
0.3%
8984 25
 
0.2%
5490 25
 
0.2%
Other values (2355) 8153
81.5%
(Missing) 1485
 
14.8%
ValueCountFrequency (%)
14 1
 
< 0.1%
43 7
0.1%
56 2
 
< 0.1%
58 1
 
< 0.1%
62 1
 
< 0.1%
71 1
 
< 0.1%
72 1
 
< 0.1%
73 1
 
< 0.1%
75 1
 
< 0.1%
79 2
 
< 0.1%
ValueCountFrequency (%)
32289 2
 
< 0.1%
29751 5
0.1%
24599 1
 
< 0.1%
24595 5
0.1%
23828 1
 
< 0.1%
19036 1
 
< 0.1%
19034 5
0.1%
19024 3
< 0.1%
19014 1
 
< 0.1%
19011 1
 
< 0.1%

관련종분류아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
9606
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9606
2nd row9606
3rd row9606
4th row9606
5th row9606

Common Values

ValueCountFrequency (%)
9606 10000
100.0%

Length

2023-12-12T15:11:46.403495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:11:46.501657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9606 10000
100.0%

유전자심볼이름
Text

Distinct2909
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:11:46.929208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.9098
Min length1

Characters and Unicode

Total characters49098
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique983 ?
Unique (%)9.8%

Sample

1st rowTGFB1
2nd rowSUPT5H
3rd rowTGOLN2
4th rowPGK1
5th rowNRDC
ValueCountFrequency (%)
tp53 53
 
0.5%
egfr 50
 
0.5%
ubb 45
 
0.4%
ubc 44
 
0.4%
park2 40
 
0.4%
tgfb1 33
 
0.3%
src 32
 
0.3%
rb1 29
 
0.3%
fgf2 26
 
0.3%
fgf17 25
 
0.2%
Other values (2899) 9623
96.2%
2023-12-12T15:11:47.658275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3956
 
8.1%
A 3728
 
7.6%
P 3547
 
7.2%
C 2800
 
5.7%
R 2462
 
5.0%
2 2181
 
4.4%
F 2016
 
4.1%
S 2007
 
4.1%
T 1952
 
4.0%
B 1925
 
3.9%
Other values (33) 22524
45.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 36832
75.0%
Decimal Number 11963
 
24.4%
Dash Punctuation 258
 
0.5%
Lowercase Letter 45
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 3728
 
10.1%
P 3547
 
9.6%
C 2800
 
7.6%
R 2462
 
6.7%
F 2016
 
5.5%
S 2007
 
5.4%
T 1952
 
5.3%
B 1925
 
5.2%
L 1917
 
5.2%
N 1888
 
5.1%
Other values (16) 12590
34.2%
Decimal Number
ValueCountFrequency (%)
1 3956
33.1%
2 2181
18.2%
3 1304
 
10.9%
0 1014
 
8.5%
4 872
 
7.3%
6 664
 
5.6%
5 657
 
5.5%
7 606
 
5.1%
9 373
 
3.1%
8 336
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
r 14
31.1%
o 11
24.4%
f 11
24.4%
e 3
 
6.7%
p 3
 
6.7%
a 3
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36877
75.1%
Common 12221
 
24.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 3728
 
10.1%
P 3547
 
9.6%
C 2800
 
7.6%
R 2462
 
6.7%
F 2016
 
5.5%
S 2007
 
5.4%
T 1952
 
5.3%
B 1925
 
5.2%
L 1917
 
5.2%
N 1888
 
5.1%
Other values (22) 12635
34.3%
Common
ValueCountFrequency (%)
1 3956
32.4%
2 2181
17.8%
3 1304
 
10.7%
0 1014
 
8.3%
4 872
 
7.1%
6 664
 
5.4%
5 657
 
5.4%
7 606
 
5.0%
9 373
 
3.1%
8 336
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3956
 
8.1%
A 3728
 
7.6%
P 3547
 
7.2%
C 2800
 
5.7%
R 2462
 
5.0%
2 2181
 
4.4%
F 2016
 
4.1%
S 2007
 
4.1%
T 1952
 
4.0%
B 1925
 
3.9%
Other values (33) 22524
45.9%

유전자 GO아이디
Text

Distinct3087
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:11:48.016773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2041 ?
Unique (%)20.4%

Sample

1st rowGO:0001933
2nd rowGO:0032785
3rd rowGO:0005768
4th rowGO:0005829
5th rowGO:0005515
ValueCountFrequency (%)
go:0005515 752
 
7.5%
go:0005576 744
 
7.4%
go:0005886 441
 
4.4%
go:0005829 427
 
4.3%
go:0005654 299
 
3.0%
go:0070062 187
 
1.9%
go:0005634 156
 
1.6%
go:0005737 121
 
1.2%
go:0005615 84
 
0.8%
go:0016021 78
 
0.8%
Other values (3077) 6711
67.1%
2023-12-12T15:11:48.554503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29744
29.7%
G 10000
 
10.0%
O 10000
 
10.0%
: 10000
 
10.0%
5 9230
 
9.2%
6 5052
 
5.1%
1 4472
 
4.5%
7 4027
 
4.0%
8 3859
 
3.9%
4 3634
 
3.6%
Other values (3) 9982
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
70.0%
Uppercase Letter 20000
 
20.0%
Other Punctuation 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29744
42.5%
5 9230
 
13.2%
6 5052
 
7.2%
1 4472
 
6.4%
7 4027
 
5.8%
8 3859
 
5.5%
4 3634
 
5.2%
2 3553
 
5.1%
3 3504
 
5.0%
9 2925
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
G 10000
50.0%
O 10000
50.0%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80000
80.0%
Latin 20000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29744
37.2%
: 10000
 
12.5%
5 9230
 
11.5%
6 5052
 
6.3%
1 4472
 
5.6%
7 4027
 
5.0%
8 3859
 
4.8%
4 3634
 
4.5%
2 3553
 
4.4%
3 3504
 
4.4%
Latin
ValueCountFrequency (%)
G 10000
50.0%
O 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29744
29.7%
G 10000
 
10.0%
O 10000
 
10.0%
: 10000
 
10.0%
5 9230
 
9.2%
6 5052
 
5.1%
1 4472
 
4.5%
7 4027
 
4.0%
8 3859
 
3.9%
4 3634
 
3.6%
Other values (3) 9982
 
10.0%

GO아이디
Text

Distinct3087
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:11:48.961396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters100000
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2041 ?
Unique (%)20.4%

Sample

1st rowGO:0001933
2nd rowGO:0032785
3rd rowGO:0005768
4th rowGO:0005829
5th rowGO:0005515
ValueCountFrequency (%)
go:0005515 752
 
7.5%
go:0005576 744
 
7.4%
go:0005886 441
 
4.4%
go:0005829 427
 
4.3%
go:0005654 299
 
3.0%
go:0070062 187
 
1.9%
go:0005634 156
 
1.6%
go:0005737 121
 
1.2%
go:0005615 84
 
0.8%
go:0016021 78
 
0.8%
Other values (3077) 6711
67.1%
2023-12-12T15:11:49.490021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 29744
29.7%
G 10000
 
10.0%
O 10000
 
10.0%
: 10000
 
10.0%
5 9230
 
9.2%
6 5052
 
5.1%
1 4472
 
4.5%
7 4027
 
4.0%
8 3859
 
3.9%
4 3634
 
3.6%
Other values (3) 9982
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
70.0%
Uppercase Letter 20000
 
20.0%
Other Punctuation 10000
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 29744
42.5%
5 9230
 
13.2%
6 5052
 
7.2%
1 4472
 
6.4%
7 4027
 
5.8%
8 3859
 
5.5%
4 3634
 
5.2%
2 3553
 
5.1%
3 3504
 
5.0%
9 2925
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
G 10000
50.0%
O 10000
50.0%
Other Punctuation
ValueCountFrequency (%)
: 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80000
80.0%
Latin 20000
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 29744
37.2%
: 10000
 
12.5%
5 9230
 
11.5%
6 5052
 
6.3%
1 4472
 
5.6%
7 4027
 
5.0%
8 3859
 
4.8%
4 3634
 
4.5%
2 3553
 
4.4%
3 3504
 
4.4%
Latin
ValueCountFrequency (%)
G 10000
50.0%
O 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 29744
29.7%
G 10000
 
10.0%
O 10000
 
10.0%
: 10000
 
10.0%
5 9230
 
9.2%
6 5052
 
5.1%
1 4472
 
4.5%
7 4027
 
4.0%
8 3859
 
3.9%
4 3634
 
3.6%
Other values (3) 9982
 
10.0%

유전자온톨로지 이름
Text

Distinct3087
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:11:49.803216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length187
Median length101
Mean length26.2247
Min length4

Characters and Unicode

Total characters262247
Distinct characters73
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2041 ?
Unique (%)20.4%

Sample

1st rownegative regulation of protein phosphorylation
2nd rownegative regulation of DNA-templated transcription, elongation
3rd rowendosome
4th rowcytosol
5th rowprotein binding
ValueCountFrequency (%)
binding 1637
 
5.4%
of 1520
 
5.0%
protein 1279
 
4.2%
regulation 1146
 
3.8%
extracellular 1067
 
3.5%
activity 947
 
3.1%
membrane 933
 
3.1%
region 818
 
2.7%
positive 539
 
1.8%
plasma 536
 
1.8%
Other values (2058) 20077
65.8%
2023-12-12T15:11:50.700634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 25404
 
9.7%
i 22416
 
8.5%
20499
 
7.8%
o 20160
 
7.7%
n 19932
 
7.6%
t 18470
 
7.0%
a 17982
 
6.9%
r 16451
 
6.3%
l 14996
 
5.7%
s 11280
 
4.3%
Other values (63) 74657
28.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 234633
89.5%
Space Separator 20499
 
7.8%
Uppercase Letter 4620
 
1.8%
Dash Punctuation 1462
 
0.6%
Decimal Number 444
 
0.2%
Other Punctuation 414
 
0.2%
Close Punctuation 69
 
< 0.1%
Open Punctuation 69
 
< 0.1%
Connector Punctuation 31
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 25404
10.8%
i 22416
 
9.6%
o 20160
 
8.6%
n 19932
 
8.5%
t 18470
 
7.9%
a 17982
 
7.7%
r 16451
 
7.0%
l 14996
 
6.4%
s 11280
 
4.8%
c 11278
 
4.8%
Other values (16) 56264
24.0%
Uppercase Letter
ValueCountFrequency (%)
A 943
20.4%
N 721
15.6%
I 457
9.9%
R 439
9.5%
D 381
8.2%
G 294
 
6.4%
P 259
 
5.6%
T 251
 
5.4%
C 125
 
2.7%
M 112
 
2.4%
Other values (14) 638
13.8%
Decimal Number
ValueCountFrequency (%)
1 97
21.8%
3 92
20.7%
2 80
18.0%
5 53
11.9%
4 50
11.3%
6 27
 
6.1%
8 16
 
3.6%
7 13
 
2.9%
0 8
 
1.8%
9 8
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 307
74.2%
/ 83
 
20.0%
' 14
 
3.4%
: 8
 
1.9%
. 2
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 65
94.2%
] 4
 
5.8%
Open Punctuation
ValueCountFrequency (%)
( 65
94.2%
[ 4
 
5.8%
Space Separator
ValueCountFrequency (%)
20499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1462
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 239253
91.2%
Common 22994
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 25404
10.6%
i 22416
 
9.4%
o 20160
 
8.4%
n 19932
 
8.3%
t 18470
 
7.7%
a 17982
 
7.5%
r 16451
 
6.9%
l 14996
 
6.3%
s 11280
 
4.7%
c 11278
 
4.7%
Other values (40) 60884
25.4%
Common
ValueCountFrequency (%)
20499
89.1%
- 1462
 
6.4%
, 307
 
1.3%
1 97
 
0.4%
3 92
 
0.4%
/ 83
 
0.4%
2 80
 
0.3%
) 65
 
0.3%
( 65
 
0.3%
5 53
 
0.2%
Other values (13) 191
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 25404
 
9.7%
i 22416
 
8.5%
20499
 
7.8%
o 20160
 
7.7%
n 19932
 
7.6%
t 18470
 
7.0%
a 17982
 
6.9%
r 16451
 
6.3%
l 14996
 
5.7%
s 11280
 
4.3%
Other values (63) 74657
28.5%

유전자온톨로지 분류
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
cellular_component
3835 
biological_process
3756 
molecular_function
2409 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowbiological_process
2nd rowbiological_process
3rd rowcellular_component
4th rowcellular_component
5th rowmolecular_function

Common Values

ValueCountFrequency (%)
cellular_component 3835
38.4%
biological_process 3756
37.6%
molecular_function 2409
24.1%

Length

2023-12-12T15:11:50.876698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:11:51.013262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cellular_component 3835
38.4%
biological_process 3756
37.6%
molecular_function 2409
24.1%

Interactions

2023-12-12T15:11:44.980505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:44.745033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:45.118047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:11:44.857301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:11:51.111907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유전자고유아이디서열 고유아이디유전자온톨로지 분류
유전자고유아이디1.0000.2050.112
서열 고유아이디0.2051.0000.044
유전자온톨로지 분류0.1120.0441.000
2023-12-12T15:11:51.222992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유전자고유아이디서열 고유아이디유전자온톨로지 분류
유전자고유아이디1.000-0.0740.066
서열 고유아이디-0.0741.0000.027
유전자온톨로지 분류0.0660.0271.000

Missing values

2023-12-12T15:11:45.280847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:11:45.456277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

유전자고유아이디서열 고유아이디관련종분류아이디유전자심볼이름유전자 GO아이디GO아이디유전자온톨로지 이름유전자온톨로지 분류
5017946650161719606TGFB1GO:0001933GO:0001933negative regulation of protein phosphorylationbiological_process
49596169157209606SUPT5HGO:0032785GO:0032785negative regulation of DNA-templated transcription, elongationbiological_process
2116520952161909606TGOLN2GO:0005768GO:0005768endosomecellular_component
4713044402120199606PGK1GO:0005829GO:0005829cytosolcellular_component
1822523698<NA>9606NRDCGO:0005515GO:0005515protein bindingmolecular_function
91301556282159606LAMA5GO:0005576GO:0005576extracellular regioncellular_component
6372471108138869606RPS17GO:0003735GO:0003735structural constituent of ribosomemolecular_function
6665471360156479606STSGO:0016021GO:0016021integral component of membranecellular_component
865988419873509606IL7GO:0005576GO:0005576extracellular regioncellular_component
11253836128539606PRSS46GO:0006508GO:0006508proteolysisbiological_process
유전자고유아이디서열 고유아이디관련종분류아이디유전자심볼이름유전자 GO아이디GO아이디유전자온톨로지 이름유전자온톨로지 분류
451204405446299606EGFRGO:0005515GO:0005515protein bindingmolecular_function
742897889470649606HSPD1GO:0006458GO:0006458'de novo' protein foldingbiological_process
51471569217669606ANXA1GO:0070062GO:0070062extracellular exosomecellular_component
136691153357979606GABRDGO:0005230GO:0005230extracellular ligand-gated ion channel activitymolecular_function
6753766108<NA>9606P06889GO:0005886GO:0005886plasma membranecellular_component
7141361327143749606SERPINE1GO:0010469GO:0010469regulation of receptor activitybiological_process
3234930440164149606TMEM127GO:0016021GO:0016021integral component of membranecellular_component
7487172426179209606VIL1GO:2000392GO:2000392regulation of lamellipodium morphogenesisbiological_process
19608198828829606AQP9GO:0046689GO:0046689response to mercury ionbiological_process
518895363233489606COL3A1GO:0043206GO:0043206extracellular fibril organizationbiological_process