Overview

Dataset statistics

Number of variables4
Number of observations1640
Missing cells0
Missing cells (%)0.0%
Duplicate rows10
Duplicate rows (%)0.6%
Total size in memory51.4 KiB
Average record size in memory32.1 B

Variable types

DateTime1
Text3

Dataset

Description농림식품기술기획평가원_농림수산식품 바이오 R&D 논문 정보 발표년월, 논문명, 저자, 게재지명 등 관련 항목 포함이 되어 있습니다.
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15053202/fileData.do

Alerts

Dataset has 10 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 23:01:05.072528
Analysis finished2023-12-12 23:01:05.817498
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발표년월
Date

Distinct51
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
Minimum2009-09-01 00:00:00
Maximum2013-12-01 00:00:00
2023-12-13T08:01:05.896524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:01:06.040573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

논문명
Text

Distinct1593
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-12-13T08:01:06.355110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length288
Median length153
Mean length97.72378
Min length11

Characters and Unicode

Total characters160267
Distinct characters576
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1553 ?
Unique (%)94.7%

Sample

1st row미세버블을 이용한 바이오가스 탈황정제연구
2nd rowEffect of Gallotannins Derived from Sedum takesimense on Tomato Bacterial Wilt
3rd rowFree radical scavenging activities and cytoprotective effect of polyphenol rich ethyl acetate fraction of guava (Psidium cattleianum) leaves on H2O2-treated HepG2Cell
4th rowEffect of gallotannins derived from Sedum takesimense on Tomato baterial wilt
5th rowImmunization with a Thermostable Newcastle Disease Virus K148/08 Strain Originated from Wild Mallard Duck Confers Protection against Lethal Viscerotropic Velogenic Newcastle Disease Virus Infection in Chickens
ValueCountFrequency (%)
of 1401
 
6.4%
and 767
 
3.5%
in 734
 
3.4%
the 443
 
2.0%
a 321
 
1.5%
from 275
 
1.3%
by 197
 
0.9%
on 176
 
0.8%
for 160
 
0.7%
with 141
 
0.6%
Other values (6511) 17109
78.8%
2023-12-13T08:01:06.819850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20154
 
12.6%
e 12620
 
7.9%
i 11863
 
7.4%
o 10545
 
6.6%
n 10237
 
6.4%
a 10072
 
6.3%
t 9157
 
5.7%
r 7531
 
4.7%
s 7250
 
4.5%
c 5578
 
3.5%
Other values (566) 55260
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 119347
74.5%
Space Separator 20154
 
12.6%
Uppercase Letter 10579
 
6.6%
Other Letter 6723
 
4.2%
Decimal Number 1087
 
0.7%
Dash Punctuation 1075
 
0.7%
Other Punctuation 826
 
0.5%
Open Punctuation 222
 
0.1%
Close Punctuation 221
 
0.1%
Math Symbol 22
 
< 0.1%
Other values (3) 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 270
 
4.0%
에 188
 
2.8%
성 160
 
2.4%
한 151
 
2.2%
이 145
 
2.2%
생 99
 
1.5%
유 90
 
1.3%
물 90
 
1.3%
산 88
 
1.3%
및 81
 
1.2%
Other values (470) 5361
79.7%
Lowercase Letter
ValueCountFrequency (%)
e 12620
10.6%
i 11863
9.9%
o 10545
 
8.8%
n 10237
 
8.6%
a 10072
 
8.4%
t 9157
 
7.7%
r 7531
 
6.3%
s 7250
 
6.1%
c 5578
 
4.7%
l 5384
 
4.5%
Other values (21) 29110
24.4%
Uppercase Letter
ValueCountFrequency (%)
A 1044
 
9.9%
C 955
 
9.0%
P 898
 
8.5%
S 839
 
7.9%
I 695
 
6.6%
E 656
 
6.2%
R 555
 
5.2%
D 539
 
5.1%
M 536
 
5.1%
T 525
 
5.0%
Other values (16) 3337
31.5%
Other Punctuation
ValueCountFrequency (%)
, 363
43.9%
. 288
34.9%
: 83
 
10.0%
/ 55
 
6.7%
' 17
 
2.1%
& 7
 
0.8%
; 6
 
0.7%
· 3
 
0.4%
# 3
 
0.4%
† 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 282
25.9%
2 223
20.5%
3 138
12.7%
5 79
 
7.3%
4 78
 
7.2%
7 74
 
6.8%
0 73
 
6.7%
6 65
 
6.0%
8 40
 
3.7%
9 35
 
3.2%
Math Symbol
ValueCountFrequency (%)
+ 9
40.9%
> 5
22.7%
< 4
18.2%
| 1
 
4.5%
× 1
 
4.5%
∼ 1
 
4.5%
~ 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 220
99.1%
{ 2
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 219
99.1%
} 2
 
0.9%
Final Punctuation
ValueCountFrequency (%)
’ 4
80.0%
” 1
 
20.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 3
75.0%
“ 1
 
25.0%
Other Symbol
ValueCountFrequency (%)
♂ 1
50.0%
♀ 1
50.0%
Space Separator
ValueCountFrequency (%)
20154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1075
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 129912
81.1%
Common 23618
 
14.7%
Hangul 6721
 
4.2%
Greek 14
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 270
 
4.0%
에 188
 
2.8%
성 160
 
2.4%
한 151
 
2.2%
이 145
 
2.2%
생 99
 
1.5%
유 90
 
1.3%
물 90
 
1.3%
산 88
 
1.3%
및 81
 
1.2%
Other values (468) 5359
79.7%
Latin
ValueCountFrequency (%)
e 12620
 
9.7%
i 11863
 
9.1%
o 10545
 
8.1%
n 10237
 
7.9%
a 10072
 
7.8%
t 9157
 
7.0%
r 7531
 
5.8%
s 7250
 
5.6%
c 5578
 
4.3%
l 5384
 
4.1%
Other values (42) 39675
30.5%
Common
ValueCountFrequency (%)
20154
85.3%
- 1075
 
4.6%
, 363
 
1.5%
. 288
 
1.2%
1 282
 
1.2%
2 223
 
0.9%
( 220
 
0.9%
) 219
 
0.9%
3 138
 
0.6%
: 83
 
0.4%
Other values (29) 573
 
2.4%
Greek
ValueCountFrequency (%)
α 5
35.7%
γ 3
21.4%
κ 3
21.4%
β 2
 
14.3%
ε 1
 
7.1%
Han
ValueCountFrequency (%)
考 1
50.0%
小 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153513
95.8%
Hangul 6718
 
4.2%
None 18
 
< 0.1%
Punctuation 10
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%
Misc Symbols 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20154
13.1%
e 12620
 
8.2%
i 11863
 
7.7%
o 10545
 
6.9%
n 10237
 
6.7%
a 10072
 
6.6%
t 9157
 
6.0%
r 7531
 
4.9%
s 7250
 
4.7%
c 5578
 
3.6%
Other values (71) 48506
31.6%
Hangul
ValueCountFrequency (%)
의 270
 
4.0%
에 188
 
2.8%
성 160
 
2.4%
한 151
 
2.2%
이 145
 
2.2%
생 99
 
1.5%
유 90
 
1.3%
물 90
 
1.3%
산 88
 
1.3%
및 81
 
1.2%
Other values (466) 5356
79.7%
None
ValueCountFrequency (%)
α 5
27.8%
· 3
16.7%
γ 3
16.7%
κ 3
16.7%
β 2
 
11.1%
× 1
 
5.6%
ε 1
 
5.6%
Punctuation
ValueCountFrequency (%)
’ 4
40.0%
‘ 3
30.0%
“ 1
 
10.0%
” 1
 
10.0%
† 1
 
10.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
66.7%
ㅠ 1
33.3%
CJK
ValueCountFrequency (%)
考 1
50.0%
小 1
50.0%
Misc Symbols
ValueCountFrequency (%)
♂ 1
50.0%
♀ 1
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

저자
Text

Distinct1228
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-12-13T08:01:07.150911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length3
Mean length7.4414634
Min length1

Characters and Unicode

Total characters12204
Distinct characters302
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique981 ?
Unique (%)59.8%

Sample

1st row탁봉열
2nd rowThuy Thu Vu
3rd rowJeongYongMoon
4th rowThuyThuVu
5th rowSeung-HwanJeong
ValueCountFrequency (%)
kim 83
 
3.6%
park 42
 
1.8%
lee 39
 
1.7%
jung 19
 
0.8%
young 19
 
0.8%
jin 15
 
0.6%
s 14
 
0.6%
한상미 13
 
0.6%
j 13
 
0.6%
choi 12
 
0.5%
Other values (1335) 2066
88.5%
2023-12-13T08:01:07.616421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 928
 
7.6%
695
 
5.7%
o 686
 
5.6%
a 564
 
4.6%
e 522
 
4.3%
i 520
 
4.3%
u 505
 
4.1%
, 496
 
4.1%
g 441
 
3.6%
S 291
 
2.4%
Other values (292) 6556
53.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5490
45.0%
Other Letter 2721
22.3%
Uppercase Letter 2232
18.3%
Other Punctuation 810
 
6.6%
Space Separator 695
 
5.7%
Dash Punctuation 248
 
2.0%
Decimal Number 6
 
< 0.1%
Math Symbol 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 170
 
6.2%
이 109
 
4.0%
정 100
 
3.7%
영 78
 
2.9%
박 75
 
2.8%
성 65
 
2.4%
경 57
 
2.1%
수 57
 
2.1%
윤 54
 
2.0%
진 49
 
1.8%
Other values (226) 1907
70.1%
Uppercase Letter
ValueCountFrequency (%)
S 291
13.0%
J 283
12.7%
K 269
12.1%
H 246
11.0%
Y 174
 
7.8%
M 129
 
5.8%
L 113
 
5.1%
C 105
 
4.7%
P 95
 
4.3%
B 59
 
2.6%
Other values (16) 468
21.0%
Lowercase Letter
ValueCountFrequency (%)
n 928
16.9%
o 686
12.5%
a 564
10.3%
e 522
9.5%
i 520
9.5%
u 505
9.2%
g 441
8.0%
h 251
 
4.6%
m 249
 
4.5%
y 179
 
3.3%
Other values (15) 645
11.7%
Other Punctuation
ValueCountFrequency (%)
, 496
61.2%
. 263
32.5%
; 48
 
5.9%
# 1
 
0.1%
& 1
 
0.1%
¡ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 1
16.7%
9 1
16.7%
3 1
16.7%
5 1
16.7%
Space Separator
ValueCountFrequency (%)
695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 248
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
ⓒ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7722
63.3%
Hangul 2721
 
22.3%
Common 1761
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 170
 
6.2%
이 109
 
4.0%
정 100
 
3.7%
영 78
 
2.9%
박 75
 
2.8%
성 65
 
2.4%
경 57
 
2.1%
수 57
 
2.1%
윤 54
 
2.0%
진 49
 
1.8%
Other values (226) 1907
70.1%
Latin
ValueCountFrequency (%)
n 928
 
12.0%
o 686
 
8.9%
a 564
 
7.3%
e 522
 
6.8%
i 520
 
6.7%
u 505
 
6.5%
g 441
 
5.7%
S 291
 
3.8%
J 283
 
3.7%
K 269
 
3.5%
Other values (41) 2713
35.1%
Common
ValueCountFrequency (%)
695
39.5%
, 496
28.2%
. 263
 
14.9%
- 248
 
14.1%
; 48
 
2.7%
2 2
 
0.1%
1 1
 
0.1%
+ 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
Other values (5) 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9481
77.7%
Hangul 2721
 
22.3%
Enclosed Alphanum 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 928
 
9.8%
695
 
7.3%
o 686
 
7.2%
a 564
 
5.9%
e 522
 
5.5%
i 520
 
5.5%
u 505
 
5.3%
, 496
 
5.2%
g 441
 
4.7%
S 291
 
3.1%
Other values (54) 3833
40.4%
Hangul
ValueCountFrequency (%)
김 170
 
6.2%
이 109
 
4.0%
정 100
 
3.7%
영 78
 
2.9%
박 75
 
2.8%
성 65
 
2.4%
경 57
 
2.1%
수 57
 
2.1%
윤 54
 
2.0%
진 49
 
1.8%
Other values (226) 1907
70.1%
Enclosed Alphanum
ValueCountFrequency (%)
ⓒ 1
100.0%
None
ValueCountFrequency (%)
¡ 1
100.0%

개제지명
Text

Distinct791
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size12.9 KiB
2023-12-13T08:01:07.874026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length133
Median length57
Mean length26.809756
Min length4

Characters and Unicode

Total characters43968
Distinct characters216
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)31.6%

Sample

1st row한국수소및 신에너지학회
2nd rowPLANT DISEASE
3rd rowJ Korean Soc Appl Biol Chem
4th rowThe American Phytopathological Society
5th rowPLOS ONE
ValueCountFrequency (%)
of 546
 
9.9%
journal 492
 
8.9%
and 332
 
6.0%
136
 
2.5%
plant 118
 
2.1%
science 113
 
2.0%
international 106
 
1.9%
research 106
 
1.9%
biotechnology 104
 
1.9%
microbiology 96
 
1.7%
Other values (661) 3389
61.2%
2023-12-13T08:01:08.321010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3899
 
8.9%
o 2531
 
5.8%
e 1839
 
4.2%
O 1766
 
4.0%
n 1732
 
3.9%
a 1667
 
3.8%
i 1656
 
3.8%
l 1582
 
3.6%
E 1448
 
3.3%
A 1400
 
3.2%
Other values (206) 24448
55.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19555
44.5%
Uppercase Letter 17226
39.2%
Space Separator 3899
 
8.9%
Other Letter 2889
 
6.6%
Other Punctuation 175
 
0.4%
Close Punctuation 74
 
0.2%
Open Punctuation 74
 
0.2%
Dash Punctuation 59
 
0.1%
Decimal Number 12
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 355
 
12.3%
회 320
 
11.1%
지 294
 
10.2%
한 285
 
9.9%
국 262
 
9.1%
물 80
 
2.8%
식 73
 
2.5%
과 67
 
2.3%
생 63
 
2.2%
동 51
 
1.8%
Other values (139) 1039
36.0%
Lowercase Letter
ValueCountFrequency (%)
o 2531
12.9%
e 1839
9.4%
n 1732
8.9%
a 1667
 
8.5%
i 1656
 
8.5%
l 1582
 
8.1%
r 1371
 
7.0%
t 1145
 
5.9%
c 1080
 
5.5%
s 686
 
3.5%
Other values (16) 4266
21.8%
Uppercase Letter
ValueCountFrequency (%)
O 1766
 
10.3%
E 1448
 
8.4%
A 1400
 
8.1%
I 1357
 
7.9%
N 1280
 
7.4%
L 1144
 
6.6%
R 1106
 
6.4%
C 1106
 
6.4%
S 854
 
5.0%
T 780
 
4.5%
Other values (16) 4985
28.9%
Other Punctuation
ValueCountFrequency (%)
& 122
69.7%
. 42
 
24.0%
: 7
 
4.0%
/ 2
 
1.1%
\ 1
 
0.6%
; 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 6
50.0%
2 2
 
16.7%
5 2
 
16.7%
1 2
 
16.7%
Space Separator
ValueCountFrequency (%)
3899
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Math Symbol
ValueCountFrequency (%)
= 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36781
83.7%
Common 4298
 
9.8%
Hangul 2887
 
6.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 355
 
12.3%
회 320
 
11.1%
지 294
 
10.2%
한 285
 
9.9%
국 262
 
9.1%
물 80
 
2.8%
식 73
 
2.5%
과 67
 
2.3%
생 63
 
2.2%
동 51
 
1.8%
Other values (137) 1037
35.9%
Latin
ValueCountFrequency (%)
o 2531
 
6.9%
e 1839
 
5.0%
O 1766
 
4.8%
n 1732
 
4.7%
a 1667
 
4.5%
i 1656
 
4.5%
l 1582
 
4.3%
E 1448
 
3.9%
A 1400
 
3.8%
r 1371
 
3.7%
Other values (42) 19789
53.8%
Common
ValueCountFrequency (%)
3899
90.7%
& 122
 
2.8%
) 74
 
1.7%
( 74
 
1.7%
- 59
 
1.4%
. 42
 
1.0%
: 7
 
0.2%
0 6
 
0.1%
= 5
 
0.1%
/ 2
 
< 0.1%
Other values (5) 8
 
0.2%
Han
ValueCountFrequency (%)
硏 1
50.0%
究 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41079
93.4%
Hangul 2887
 
6.6%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3899
 
9.5%
o 2531
 
6.2%
e 1839
 
4.5%
O 1766
 
4.3%
n 1732
 
4.2%
a 1667
 
4.1%
i 1656
 
4.0%
l 1582
 
3.9%
E 1448
 
3.5%
A 1400
 
3.4%
Other values (57) 21559
52.5%
Hangul
ValueCountFrequency (%)
학 355
 
12.3%
회 320
 
11.1%
지 294
 
10.2%
한 285
 
9.9%
국 262
 
9.1%
물 80
 
2.8%
식 73
 
2.5%
과 67
 
2.3%
생 63
 
2.2%
동 51
 
1.8%
Other values (137) 1037
35.9%
CJK
ValueCountFrequency (%)
硏 1
50.0%
究 1
50.0%

Missing values

2023-12-13T08:01:05.686422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:01:05.774946image/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

발표년월논문명저자개제지명
02013-12-01미세버블을 이용한 바이오가스 탈황정제연구탁봉열한국수소및 신에너지학회
12013-12-01Effect of Gallotannins Derived from Sedum takesimense on Tomato Bacterial WiltThuy Thu VuPLANT DISEASE
22013-12-01Free radical scavenging activities and cytoprotective effect of polyphenol rich ethyl acetate fraction of guava (Psidium cattleianum) leaves on H2O2-treated HepG2CellJeongYongMoonJ Korean Soc Appl Biol Chem
32013-12-01Effect of gallotannins derived from Sedum takesimense on Tomato baterial wiltThuyThuVuThe American Phytopathological Society
42013-12-01Immunization with a Thermostable Newcastle Disease Virus K148/08 Strain Originated from Wild Mallard Duck Confers Protection against Lethal Viscerotropic Velogenic Newcastle Disease Virus Infection in ChickensSeung-HwanJeongPLOS ONE
52013-12-01Efficient Recovery of Lignocellulolytic Enzymes ofSpent Mushroom Compost from Oyster Mushrooms, Pleurotus spp., and Potential Use in Dye DecolorizationSeon-HwaLimMycobiology
62013-12-01Green tea and type 2 diabetesSongdkintegrative Medicine Research
72013-12-01Piperine reverses high fat diet-induced hepatic steatosis and insulin resistance in miceChoi,SFood chemistry
82013-12-01Obesity, obesity-related diseases and application of animal model in obesity research. An overview박병성한국유화학회지
92013-12-01Chryseobacterium gwangjuense sp nov., isolated from soilPark, Yong JinINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY
발표년월논문명저자개제지명
16302009-12-01Selective Synthesis of 1 '(alpha),2 '(beta)-C-Dimethyl Carbocyclic Adenosine Analogue as Potential anti-HCV AgentLi, HuaBULLETIN OF THE KOREAN CHEMICAL SOCIETY
16312009-12-01Drought stress-induced Rma1H1, a RING membrane-anchor E3 ubiquitin ligase homolog, regulates aquaporin levels via ubiquitination in transgenic Arabidopsis plants.Lee,HyunKyung;Lee, Hyun Kyungplant cell
16322009-12-01Production of plant-specific tyramine derivatives by dual expression of tyramine N-hydroxycinnamoyltransferase and 4-coumarate:coenzyme A ligase in Escherichia coliKang,Kiyoon+Q193Choi,G.H.;Kang, KiyoonBiotechnology Letters
16332009-12-01Castellaniella ginsengisoli sp. nov., a beta-glucosidase-producing bacterium.Kim,MyungKyum;Kim, Myung KyumInternational Journal of Systematic and Evolutionary Microbiology
16342009-12-01MicroRNA biogenesis and function in higher plantsJung,J.H.;Jung, J. H.Plant biotechnology reports
16352009-12-01Flavonoid Compounds Are Enriched in Lemon Balm (Melissa officinalis) Leaves by a High Level of Sucrose and Confer Increased Antioxidant ActivityLee,H.;Hossain, M.A.hortscience
16362009-12-01Nargenicin enhances 1,25-dihydroxyvitamin D3- and all-trans retinoic acid-induced leukemia cell differentiation via PKCβI/MAPK pathwaysKim,S.H.;Kim, S.H.Biochemical Pharmacology
16372009-12-01Cellulosic alcoholic fermentation using recombinant Saccharomyces cerevisiae engineered for the production of Clostridium cellulovorans endoglucanase and Saccharomycopsis fibuligerabeta-glucosidase.Jeon,Eugene;Jeon, EugeneFederation of EuropeanMicrobiological Societies Microbiology Letters
16382009-10-01태양, 풍력, 지열 에너지의 농촌주택 적용인자의 추출과 적용함수의 개발박형수한국농공학회
16392009-09-01Recombinant DNA and Protein Vaccines for Foot-and-mouth Disease Induce Humoral and Cellular Immune Responses in mice배지영immune network

Duplicate rows

Most frequently occurring

발표년월논문명저자개제지명# duplicates
42012-11-01Antioxidant effects of ovotransferrin and its hydrolysatesJ. KimPoultry science3
02011-12-01Characterization and comparison of telomere length, telomerase and reverse transcriptase activity and gene expression in human mesenchymal stem cells and cancer cells of various originsJeon, Byeong-GyunCELL AND TISSUE RESEARCH2
12011-12-01Functional analysis and expressional regulation of wxoE and wxoF in lipopolysaccharide (lps) biosynthesis gene cluster I of Xanthomonas oryzae pv. oryzaeWang, J.C.PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY2
22012-04-01Caffeinated coffee, decaffeinated coffee, and the phenolic phytochemical chlorogenic acid up-regulate NQO1 expression and prevent H2O2-induced apoptosis in primary cortical neurons김지영Neurochemistry International2
32012-10-01Antioxidant, antimicrobial, andcytotoxic activities of ovotransferrin from egg whiteSun Hee MoonKorean journal for food science of animal resources2
52012-12-01Comparative proteomic analysis of chestnut blight fungus, Cryphonectria parasitica, under tannic-acid-inducing and hypovirus-regulating conditionsJung-MiKimCANADIAN JOURNAL OF MICROBIOLOGY2
62012-12-01Evaluation of Akabane vaccine strains based on the molecular characterization양동군J Prev Vet Med2
72012-12-01Hyperglycemic effect of submerged culture extract of Ceriporia lacerata in streptozotocin-induced diabetic ratsJi-Eun KimFood Science and Biotechnology2
82013-01-01Crude extract of Ceriporia lacerata has a protective effect on dexamethasone-induced cytotoxicity in INS-1 cells via the modulation of PI3K/PKB activityJi-hye KimInternational Journal of Molecular Medicine2
92013-01-01Green Tea Extract Co-Administered with a Polymer Effectively Prevents Alcoholic Liver Damage by Prolonged Inhibition of Alcohol Absorption in Mice박재형Alcohol & Alcoholism2