Overview

Dataset statistics

Number of variables10
Number of observations46
Missing cells3
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory83.9 B

Variable types

Numeric1
Text2
Categorical5
DateTime2

Dataset

Description특허 출원시에 미생물은 구조가 복잡하고 살아있는 것이여서 공인된 기관에 미생물을 기탁합니다. 미생물 기탁 기관에 대한 정보를 쉽게 찾을 수 있도록 명세서와 서지 내에 기탁 코드를 포함한 공보의 목록을 제공합니다.(KIPRISPlus 서비스)
Author특허청
URLhttps://www.data.go.kr/data/15015001/fileData.do

Alerts

공개번호 has constant value ""Constant
공개일자 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
등록번호 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
기탁기관 is highly overall correlated with 등록번호High correlation
출원번호 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 출원번호 and 2 other fieldsHigh correlation
등록번호 is highly imbalanced (65.2%)Imbalance
등록일자 has 3 (6.5%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:07:21.616838
Analysis finished2023-12-12 08:07:22.536816
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.673913
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:07:22.634567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q113.25
median24.5
Q335.75
95-th percentile45.75
Maximum48
Range47
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.797028
Coefficient of variation (CV)0.55917469
Kurtosis-1.1576773
Mean24.673913
Median Absolute Deviation (MAD)11.5
Skewness0.026612381
Sum1135
Variance190.35797
MonotonicityStrictly increasing
2023-12-12T17:07:22.851058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
37 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
35 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
11 1
2.2%
ValueCountFrequency (%)
48 1
2.2%
47 1
2.2%
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%

수탁번호
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T17:07:23.163684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length9.673913
Min length9

Characters and Unicode

Total characters445
Distinct characters17
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

Unique44 ?
Unique (%)95.7%

Sample

1st row KFCC11069
2nd row KFCC11068
3rd row KCTC8917P
4th row KCTC0562BP
5th row KCTC0565BP
ValueCountFrequency (%)
kctc8928p 2
 
4.3%
kfcc11069 1
 
2.2%
kctc0556bp 1
 
2.2%
kctc8927p 1
 
2.2%
kctc0550bp 1
 
2.2%
kctc0578bp 1
 
2.2%
kctc0581bp 1
 
2.2%
kctc0552bp 1
 
2.2%
kctc0553bp 1
 
2.2%
kctc0554bp 1
 
2.2%
Other values (35) 35
76.1%
2023-12-12T17:07:23.660637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 92
20.7%
K 46
10.3%
T 38
8.5%
P 38
8.5%
0 36
 
8.1%
5 35
 
7.9%
8 28
 
6.3%
B 23
 
5.2%
9 21
 
4.7%
1 20
 
4.5%
Other values (7) 68
15.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 245
55.1%
Decimal Number 192
43.1%
Space Separator 8
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
18.8%
5 35
18.2%
8 28
14.6%
9 21
10.9%
1 20
10.4%
2 15
7.8%
7 11
 
5.7%
4 10
 
5.2%
3 9
 
4.7%
6 7
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 92
37.6%
K 46
18.8%
T 38
15.5%
P 38
15.5%
B 23
 
9.4%
F 8
 
3.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 245
55.1%
Common 200
44.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 36
18.0%
5 35
17.5%
8 28
14.0%
9 21
10.5%
1 20
10.0%
2 15
7.5%
7 11
 
5.5%
4 10
 
5.0%
3 9
 
4.5%
8
 
4.0%
Latin
ValueCountFrequency (%)
C 92
37.6%
K 46
18.8%
T 38
15.5%
P 38
15.5%
B 23
 
9.4%
F 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 92
20.7%
K 46
10.3%
T 38
8.5%
P 38
8.5%
0 36
 
8.1%
5 35
 
7.9%
8 28
 
6.3%
B 23
 
5.2%
9 21
 
4.7%
1 20
 
4.5%
Other values (7) 68
15.3%

출원번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
10-2000-0000000
23 
10-2000-0000000
23 

Length

Max length17
Median length16.5
Mean length16.5
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 10-2000-0000000
2nd row 10-2000-0000000
3rd row 10-2000-0000000
4th row10-2000-0000000
5th row10-2000-0000000

Common Values

ValueCountFrequency (%)
10-2000-0000000 23
50.0%
10-2000-0000000 23
50.0%

Length

2023-12-12T17:07:23.851158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:23.988899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10-2000-0000000 46
100.0%

출원일자
Date

Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1999-01-14 00:00:00
Maximum1999-04-07 00:00:00
2023-12-12T17:07:24.108197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:07:24.268317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

공개번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
10-2000-0000000
46 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10-2000-0000000
2nd row10-2000-0000000
3rd row10-2000-0000000
4th row10-2000-0000000
5th row10-2000-0000000

Common Values

ValueCountFrequency (%)
10-2000-0000000 46
100.0%

Length

2023-12-12T17:07:24.442261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:24.557539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10-2000-0000000 46
100.0%

공개일자
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
2000-10-05
14 
2000-09-15
12 
2000-10-16
5 
2000-08-05
4 
2000-08-16
3 
Other values (6)
8 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row2000-08-05
2nd row2000-08-05
3rd row2000-08-05
4th row2000-08-05
5th row2000-08-16

Common Values

ValueCountFrequency (%)
2000-10-05 14
30.4%
2000-09-15 12
26.1%
2000-10-16 5
 
10.9%
2000-08-05 4
 
8.7%
2000-08-16 3
 
6.5%
1999-10-05 2
 
4.3%
2000-11-15 2
 
4.3%
2000-09-05 1
 
2.2%
1999-12-06 1
 
2.2%
1999-10-25 1
 
2.2%

Length

2023-12-12T17:07:24.673257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2000-10-05 14
30.4%
2000-09-15 12
26.1%
2000-10-16 5
 
10.9%
2000-08-05 4
 
8.7%
2000-08-16 3
 
6.5%
1999-10-05 2
 
4.3%
2000-11-15 2
 
4.3%
2000-09-05 1
 
2.2%
1999-12-06 1
 
2.2%
1999-10-25 1
 
2.2%

등록번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
10-0000-0000000
43 
<NA>
 
3

Length

Max length16
Median length16
Mean length15.217391
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10-0000-0000000
2nd row10-0000-0000000
3rd row10-0000-0000000
4th row10-0000-0000000
5th row10-0000-0000000

Common Values

ValueCountFrequency (%)
10-0000-0000000 43
93.5%
<NA> 3
 
6.5%

Length

2023-12-12T17:07:24.839560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:24.975652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10-0000-0000000 43
93.5%
na 3
 
6.5%

등록일자
Date

MISSING 

Distinct28
Distinct (%)65.1%
Missing3
Missing (%)6.5%
Memory size500.0 B
Minimum2000-11-09 00:00:00
Maximum2004-03-16 00:00:00
2023-12-12T17:07:25.109839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:07:25.310427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

기탁기관
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
한국생명공학연구원 생물자원센터
38 
한국미생물보존센터
8 

Length

Max length16
Median length16
Mean length14.782609
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국미생물보존센터
2nd row한국미생물보존센터
3rd row한국생명공학연구원 생물자원센터
4th row한국생명공학연구원 생물자원센터
5th row한국생명공학연구원 생물자원센터

Common Values

ValueCountFrequency (%)
한국생명공학연구원 생물자원센터 38
82.6%
한국미생물보존센터 8
 
17.4%

Length

2023-12-12T17:07:25.513050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:07:25.652402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국생명공학연구원 38
45.2%
생물자원센터 38
45.2%
한국미생물보존센터 8
 
9.5%

발명의명칭
Text

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T17:07:25.993983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length51
Mean length40.478261
Min length19

Characters and Unicode

Total characters1862
Distinct characters251
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)54.3%

Sample

1st row5'-이노신산 생산 미생물 및 그 생산방법
2nd row5'-이노신산 생산 미생물 및 그 생산방법
3rd row식물 호르몬 지베렐린의 신호전달 과정에 관여하는 새로운 키나 제 및 그 유전자
4th row비특이적 삼핵산 반복 서열을 이용한 신경정신 질환의 진단 방법 및 진단 키트
5th row탈황효소를 발현하는 재조합 대장균 및 이를 이용한 생물학적 탈황방법
ValueCountFrequency (%)
및 31
 
7.1%
이용한 17
 
3.9%
재조합 14
 
3.2%
제조방법 14
 
3.2%
그 9
 
2.1%
이를 8
 
1.8%
미생물 7
 
1.6%
융합파트너를 6
 
1.4%
유전자 6
 
1.4%
방법 6
 
1.4%
Other values (201) 321
73.1%
2023-12-12T17:07:26.563581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
408
 
21.9%
이 61
 
3.3%
조 33
 
1.8%
및 33
 
1.8%
의 33
 
1.8%
법 32
 
1.7%
제 32
 
1.7%
방 31
 
1.7%
산 30
 
1.6%
생 30
 
1.6%
Other values (241) 1139
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1357
72.9%
Space Separator 408
 
21.9%
Uppercase Letter 44
 
2.4%
Decimal Number 22
 
1.2%
Lowercase Letter 14
 
0.8%
Other Punctuation 9
 
0.5%
Dash Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 61
 
4.5%
조 33
 
2.4%
및 33
 
2.4%
의 33
 
2.4%
법 32
 
2.4%
제 32
 
2.4%
방 31
 
2.3%
산 30
 
2.2%
생 30
 
2.2%
용 29
 
2.1%
Other values (208) 1013
74.6%
Uppercase Letter
ValueCountFrequency (%)
Ａ 7
15.9%
Ｎ 6
13.6%
Ｂ 5
11.4%
Ｆ 4
9.1%
Ｃ 3
6.8%
Ｓ 3
6.8%
Ｇ 3
6.8%
Ｔ 3
6.8%
Ｄ 3
6.8%
Ｐ 2
 
4.5%
Other values (5) 5
11.4%
Lowercase Letter
ValueCountFrequency (%)
κ 2
14.3%
ａ 2
14.3%
α 2
14.3%
ｓ 2
14.3%
ｃ 2
14.3%
ｅ 2
14.3%
ｒ 1
7.1%
ｂ 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 9
40.9%
3 5
22.7%
1 5
22.7%
5 2
 
9.1%
4 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
' 2
 
22.2%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1357
72.9%
Common 447
 
24.0%
Latin 54
 
2.9%
Greek 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 61
 
4.5%
조 33
 
2.4%
및 33
 
2.4%
의 33
 
2.4%
법 32
 
2.4%
제 32
 
2.4%
방 31
 
2.3%
산 30
 
2.2%
생 30
 
2.2%
용 29
 
2.1%
Other values (208) 1013
74.6%
Latin
ValueCountFrequency (%)
Ａ 7
13.0%
Ｎ 6
 
11.1%
Ｂ 5
 
9.3%
Ｆ 4
 
7.4%
Ｃ 3
 
5.6%
Ｓ 3
 
5.6%
Ｇ 3
 
5.6%
Ｔ 3
 
5.6%
Ｄ 3
 
5.6%
Ｐ 2
 
3.7%
Other values (11) 15
27.8%
Common
ValueCountFrequency (%)
408
91.3%
2 9
 
2.0%
- 8
 
1.8%
, 6
 
1.3%
3 5
 
1.1%
1 5
 
1.1%
' 2
 
0.4%
5 2
 
0.4%
. 1
 
0.2%
4 1
 
0.2%
Greek
ValueCountFrequency (%)
κ 2
50.0%
α 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1357
72.9%
ASCII 449
 
24.1%
None 56
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
408
90.9%
2 9
 
2.0%
- 8
 
1.8%
, 6
 
1.3%
3 5
 
1.1%
1 5
 
1.1%
' 2
 
0.4%
5 2
 
0.4%
. 1
 
0.2%
H 1
 
0.2%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
이 61
 
4.5%
조 33
 
2.4%
및 33
 
2.4%
의 33
 
2.4%
법 32
 
2.4%
제 32
 
2.4%
방 31
 
2.3%
산 30
 
2.2%
생 30
 
2.2%
용 29
 
2.1%
Other values (208) 1013
74.6%
None
ValueCountFrequency (%)
Ａ 7
12.5%
Ｎ 6
 
10.7%
Ｂ 5
 
8.9%
Ｆ 4
 
7.1%
Ｃ 3
 
5.4%
Ｓ 3
 
5.4%
Ｇ 3
 
5.4%
Ｔ 3
 
5.4%
Ｄ 3
 
5.4%
κ 2
 
3.6%
Other values (11) 17
30.4%

Interactions

2023-12-12T17:07:22.092619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:07:26.722663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번수탁번호출원번호출원일자공개일자등록일자기탁기관발명의명칭
순번1.0000.9310.7220.9620.8490.9360.4770.960
수탁번호0.9311.0001.0001.0001.0001.0001.0000.956
출원번호0.7221.0001.0000.9720.2211.0000.5591.000
출원일자0.9621.0000.9721.0000.9860.9980.9301.000
공개일자0.8491.0000.2210.9861.0000.9930.3601.000
등록일자0.9361.0001.0000.9980.9931.0001.0001.000
기탁기관0.4771.0000.5590.9300.3601.0001.0001.000
발명의명칭0.9600.9561.0001.0001.0001.0001.0001.000
2023-12-12T17:07:26.857390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개일자등록번호기탁기관출원번호
공개일자1.0001.0000.3000.176
등록번호1.0001.0001.0001.000
기탁기관0.3001.0001.0000.377
출원번호0.1761.0000.3771.000
2023-12-12T17:07:26.990534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출원번호공개일자등록번호기탁기관
순번1.0000.5080.5661.0000.326
출원번호0.5081.0000.1761.0000.377
공개일자0.5660.1761.0001.0000.300
등록번호1.0001.0001.0001.0001.000
기탁기관0.3260.3770.3001.0001.000

Missing values

2023-12-12T17:07:22.240558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:07:22.465987image/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

순번수탁번호출원번호출원일자공개번호공개일자등록번호등록일자기탁기관발명의명칭
01KFCC1106910-2000-00000001999-01-1410-2000-00000002000-08-0510-0000-00000002004-03-16한국미생물보존센터5'-이노신산 생산 미생물 및 그 생산방법
12KFCC1106810-2000-00000001999-01-1410-2000-00000002000-08-0510-0000-00000002004-03-16한국미생물보존센터5'-이노신산 생산 미생물 및 그 생산방법
24KCTC8917P10-2000-00000001999-01-1510-2000-00000002000-08-0510-0000-00000002001-07-27한국생명공학연구원 생물자원센터식물 호르몬 지베렐린의 신호전달 과정에 관여하는 새로운 키나 제 및 그 유전자
35KCTC0562BP10-2000-00000001999-01-1510-2000-00000002000-08-0510-0000-00000002002-03-14한국생명공학연구원 생물자원센터비특이적 삼핵산 반복 서열을 이용한 신경정신 질환의 진단 방법 및 진단 키트
46KCTC0565BP10-2000-00000001999-01-1910-2000-00000002000-08-1610-0000-00000002002-06-25한국생명공학연구원 생물자원센터탈황효소를 발현하는 재조합 대장균 및 이를 이용한 생물학적 탈황방법
57KFCC1107510-2000-00000001999-02-0310-2000-00000002000-09-0510-0000-00000002000-11-09한국미생물보존센터리팜피신과 각종 항생제에 내성을 갖는 신규 변이주인 엔테로코
68KCTC0561BP10-2000-00000001999-02-1210-2000-00000002000-09-1510-0000-00000002001-11-05한국생명공학연구원 생물자원센터키틴 결합능이 있는 새로운 수용체 키나제, 그 유전자 및 그의용도
79KCTC0538BP10-2000-00000001999-02-1210-2000-00000002000-09-1510-0000-00000002001-08-31한국생명공학연구원 생물자원센터Ｂ형 간염 바이러스의 표면항원 프리-Ｓ2에 대한 인간화 항체 및그의 제조방법
810KCTC0539BP10-2000-00000001999-02-1210-2000-00000002000-09-1510-0000-00000002001-08-31한국생명공학연구원 생물자원센터Ｂ형 간염 바이러스의 표면항원 프리-Ｓ2에 대한 인간화 항체 및그의 제조방법
911KCTC8922P10-2000-00000001999-02-1910-2000-00000002000-08-1610-0000-00000002001-08-14한국생명공학연구원 생물자원센터슈도모나스 세파시아 ＢＹ21균주와 이로부터글루타릴세븐에이씨에이 아실레이즈 생산방법
순번수탁번호출원번호출원일자공개번호공개일자등록번호등록일자기탁기관발명의명칭
3639KCTC0542BP10-2000-00000001999-03-1010-2000-00000001999-12-0610-0000-00000002002-03-18한국생명공학연구원 생물자원센터루코노스톡 시트리움 IH22 균주를 이용하여 제조한 채 김치 및 김치쥬스.
3740KCTC0584BP10-2000-00000001999-03-1510-2000-00000002000-10-1610-0000-00000002001-10-05한국생명공학연구원 생물자원센터고속 선별법을 포함하는 개선된 형질을 갖는 효소 변이체의 제조방법
3841KCTC8924P10-2000-00000001999-03-1610-2000-00000002000-10-16<NA><NA>한국생명공학연구원 생물자원센터재래종 참외로부터 분리한 ＡＧＰａｓｅ 유전자 및 그를 이용한 고당도 참외 생산
3942KCTC8925P10-2000-00000001999-03-1610-2000-00000002000-10-16<NA><NA>한국생명공학연구원 생물자원센터재래종 참외로부터 분리한 ＡＧＰａｓｅ 유전자 및 그를 이용한 고당도 참외 생산
4043KFCC1107310-2000-00000001999-03-2210-2000-00000002000-10-1610-0000-00000002001-03-22한국미생물보존센터글루탐산 생산 미생물 및 이를 이용한 글루탐산 생산방법
4144KFCC1107410-2000-00000001999-03-2210-2000-00000002000-10-1610-0000-00000002001-03-22한국미생물보존센터글루탐산 생산 미생물 및 이를 이용한 글루탐산 생산방법
4245KCTC0445BP10-2000-00000001999-03-2710-2000-00000001999-10-2510-0000-00000002001-10-09한국생명공학연구원 생물자원센터토토마이세틴을 생산하는 스트렙토마이세스 속 미생물 및 그로부터 생산된 토토마이세틴을 유효성분으로 함유하는 면역억제제
4346KCTC8935P10-2000-00000001999-03-2910-2000-00000002000-10-2510-0000-00000002002-07-16한국생명공학연구원 생물자원센터유류분해 균주 스핀고모나스 속 Ｄ3Ｋ1
4447KCTC0585BP10-2000-00000001999-04-0610-2000-00000002000-11-1510-0000-00000002002-10-28한국생명공학연구원 생물자원센터수퍼옥사이드 디스뮤타제를 대량 생산하는 형질전환된 오이의 제조방법
4548KCTC8937P10-2000-00000001999-04-0710-2000-00000002000-11-1510-0000-00000002001-03-27한국생명공학연구원 생물자원센터축분처리용 미생물 제제 및 이를 이용한 축분의 처리방법