Overview

Dataset statistics

Number of variables9
Number of observations153
Missing cells9
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory73.8 B

Variable types

Numeric1
Categorical8

Dataset

Description 2018년 종료 농림식품 축산 연구개발사업 논문의(과제번호, 사업명, 연구책임자, 논문명, 학술년도, 저자, 학술지명)
Author농림식품기술기획평가원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20191014000000001353

Alerts

분류 has constant value "축산" Constant
논문명 has a high cardinality: 150 distinct values High cardinality
학술지 게재일자 has a high cardinality: 125 distinct values High cardinality
저자 has a high cardinality: 139 distinct values High cardinality
학술지명 has a high cardinality: 115 distinct values High cardinality
과제번호 is highly correlated with 연구책임자 and 2 other fieldsHigh correlation
연구책임자 is highly correlated with 과제번호 and 2 other fieldsHigh correlation
과제명 is highly correlated with 과제번호 and 2 other fieldsHigh correlation
분류 is highly correlated with 과제번호 and 2 other fieldsHigh correlation
저자 has 9 (5.9%) missing values Missing
번호 has unique values Unique

Reproduction

Analysis started2022-08-12 14:48:44.020983
Analysis finished2022-08-12 14:48:45.314862
Duration1.29 second
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

번호
Real number (ℝ≥0)

UNIQUE

Distinct153
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77
Minimum1
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2022-08-12T23:48:45.397309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.6
Q139
median77
Q3115
95-th percentile145.4
Maximum153
Range152
Interquartile range (IQR)76

Descriptive statistics

Standard deviation44.31139808
Coefficient of variation (CV)0.5754727024
Kurtosis-1.2
Mean77
Median Absolute Deviation (MAD)38
Skewness0
Sum11781
Variance1963.5
MonotonicityStrictly increasing
2022-08-12T23:48:45.626356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
0.7%
91
 
0.7%
181
 
0.7%
31
 
0.7%
41
 
0.7%
51
 
0.7%
61
 
0.7%
71
 
0.7%
81
 
0.7%
101
 
0.7%
Other values (143)143
93.5%
ValueCountFrequency (%)
11
0.7%
21
0.7%
31
0.7%
41
0.7%
51
0.7%
61
0.7%
71
0.7%
81
0.7%
91
0.7%
101
0.7%
ValueCountFrequency (%)
1531
0.7%
1521
0.7%
1511
0.7%
1501
0.7%
1491
0.7%
1481
0.7%
1471
0.7%
1461
0.7%
1451
0.7%
1441
0.7%

분류
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
축산
153 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산153
100.0%

Length

2022-08-12T23:48:45.871576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-08-12T23:48:46.084895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
축산153
100.0%

과제번호
Categorical

HIGH CORRELATION

Distinct27
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
715003-7
31 
315017-5
28 
313012-5
25 
316002-5
11 
116172-3
8 
Other values (22)
50 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique11 ?
Unique (%)7.2%

Sample

1st row313012-5
2nd row313012-5
3rd row313012-5
4th row313012-5
5th row313012-5

Common Values

ValueCountFrequency (%)
715003-731
20.3%
315017-528
18.3%
313012-525
16.3%
316002-511
 
7.2%
116172-38
 
5.2%
316024-37
 
4.6%
315022-35
 
3.3%
117029-35
 
3.3%
916004-24
 
2.6%
316029-34
 
2.6%
Other values (17)25
16.3%

Length

2022-08-12T23:48:46.239224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
715003-731
20.3%
315017-528
18.3%
313012-525
16.3%
316002-511
 
7.2%
116172-38
 
5.2%
316024-37
 
4.6%
315022-35
 
3.3%
117029-35
 
3.3%
916004-24
 
2.6%
316029-34
 
2.6%
Other values (17)25
16.3%

과제명
Categorical

HIGH CORRELATION

Distinct27
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
제주흑우 대량증식 및 산업화
31 
한우특성화사업단
28 
수출전략형 흑돼지의 산자수 증대 기술 개발
25 
검역기술 고도화를 위한 스마트 탐지견 개발
11 
돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발
8 
Other values (22)
50 

Length

Max length70
Median length47
Mean length22.99346405
Min length8

Unique

Unique11 ?
Unique (%)7.2%

Sample

1st row수출전략형 흑돼지의 산자수 증대 기술 개발
2nd row수출전략형 흑돼지의 산자수 증대 기술 개발
3rd row수출전략형 흑돼지의 산자수 증대 기술 개발
4th row수출전략형 흑돼지의 산자수 증대 기술 개발
5th row수출전략형 흑돼지의 산자수 증대 기술 개발

Common Values

ValueCountFrequency (%)
제주흑우 대량증식 및 산업화31
20.3%
한우특성화사업단28
18.3%
수출전략형 흑돼지의 산자수 증대 기술 개발25
16.3%
검역기술 고도화를 위한 스마트 탐지견 개발11
 
7.2%
돼지에서 정자 전사체 마커를 활용한 산자수 향상 기술 개발8
 
5.2%
가축분뇨 통합 운영프로그램 구축7
 
4.6%
사료비 절감, 사료자급률 개선을 위한 사료 대체원료 및 재조합 인공사료 개발5
 
3.3%
산업화 적용위한 OPU유래 수정란이식 전주기 관련기술 개발5
 
3.3%
미생물 유전체 정보 활용 돼지 만·급성 설사증상 조절 면역증강제 개발4
 
2.6%
도축 부산물의 처리 및 신소재 가공기술 개발4
 
2.6%
Other values (17)25
16.3%

Length

2022-08-12T23:48:46.395023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개발75
 
8.5%
및55
 
6.2%
산업화36
 
4.1%
기술34
 
3.9%
산자수33
 
3.8%
제주흑우31
 
3.5%
대량증식31
 
3.5%
한우특성화사업단28
 
3.2%
수출전략형26
 
3.0%
흑돼지의25
 
2.8%
Other values (165)506
57.5%

연구책임자
Categorical

HIGH CORRELATION

Distinct26
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
박세필
31 
이정규
28 
김철욱
25 
이병천
11 
방명걸
8 
Other values (21)
50 

Length

Max length3
Median length3
Mean length2.993464052
Min length2

Unique

Unique9 ?
Unique (%)5.9%

Sample

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

Common Values

ValueCountFrequency (%)
박세필31
20.3%
이정규28
18.3%
김철욱25
16.3%
이병천11
 
7.2%
방명걸8
 
5.2%
이명규7
 
4.6%
추교문5
 
3.3%
공일근5
 
3.3%
박병철4
 
2.6%
고경철4
 
2.6%
Other values (16)25
16.3%

Length

2022-08-12T23:48:46.562103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박세필31
20.3%
이정규28
18.3%
김철욱25
16.3%
이병천11
 
7.2%
방명걸8
 
5.2%
이명규7
 
4.6%
추교문5
 
3.3%
공일근5
 
3.3%
박병철4
 
2.6%
고경철4
 
2.6%
Other values (16)25
16.3%

논문명
Categorical

HIGH CARDINALITY

Distinct150
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Investigation of the developmental potential and Developmental kinetics of bovine parthenogenetic and somatic cell nuclear transfer embryos using a time-lapse monitoring system
 
2
Oocyte maturation-related gene expression in the canine oviduct, cumulus cells, and oocytes and effect of co-culture with oviduct cells on in vitro maturation of oocytes
 
2
A non-synonymous single nucleotide polymorphisms in the paraoxonase 3 gene regulates meat quality in Berkshire pig
 
2
Identification a synonymous SNP in FTL gene and its association with meat quality traits in Berkshire pigs
 
1
Supplementation of pork patties with bovine plasma protein hydrolysates augments antioxidant properties and improves quality
 
1
Other values (145)
145 

Length

Max length198
Median length124
Mean length100.3137255
Min length15

Unique

Unique147 ?
Unique (%)96.1%

Sample

1st rowStructural improtance of the C-terminal region in pig aldo-keto reductase family 1 member C1 and their effeccts on enzymatic activity
2nd rowSelection of appropriate reference genes for RT-qPCR analysis in Berkshire, Duroc, Landrace, and Yorkshire pigs
3rd rowMolecular characterization of porcine PGM1 gene associated with meat quality traits
4th rowSingle-nucleotide polymorphisms in pig EPHX1 gene are associated with pork quality traits
5th rowProteomic analysis of reproduction proteins involved in litter size from porcine placenta

Common Values

ValueCountFrequency (%)
Investigation of the developmental potential and Developmental kinetics of bovine parthenogenetic and somatic cell nuclear transfer embryos using a time-lapse monitoring system2
 
1.3%
Oocyte maturation-related gene expression in the canine oviduct, cumulus cells, and oocytes and effect of co-culture with oviduct cells on in vitro maturation of oocytes2
 
1.3%
A non-synonymous single nucleotide polymorphisms in the paraoxonase 3 gene regulates meat quality in Berkshire pig2
 
1.3%
Identification a synonymous SNP in FTL gene and its association with meat quality traits in Berkshire pigs1
 
0.7%
Supplementation of pork patties with bovine plasma protein hydrolysates augments antioxidant properties and improves quality1
 
0.7%
천연물질을 이용한 반추동물 항생제 대체용 미량광물질 및 천연유화제의 이용1
 
0.7%
한우송아지의 경매가격에 대한 요인별 기여도 분석1
 
0.7%
The Anti-M€ ullerian Hormone Pro le is Linked with the In Vitro Embryo Production Capacity and Embryo Viability after Transfer but Cannot Predict Pregnancy Outcome1
 
0.7%
Molecular characterization of porcine PGM1 gene associated with meat quality traits1
 
0.7%
Single-nucleotide polymorphisms in pig EPHX1 gene are associated with pork quality traits1
 
0.7%
Other values (140)140
91.5%

Length

2022-08-12T23:48:46.773115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
of136
 
6.3%
in89
 
4.1%
and86
 
4.0%
the44
 
2.0%
on30
 
1.4%
a26
 
1.2%
quality25
 
1.2%
cells22
 
1.0%
with19
 
0.9%
vitro18
 
0.8%
Other values (953)1671
77.1%

학술지 게재일자
Categorical

HIGH CARDINALITY

Distinct125
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2018-08-31
 
4
2017-08-31
 
4
2017-11-01
 
3
2017-10-31
 
3
2017-07-18
 
3
Other values (120)
136 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique106 ?
Unique (%)69.3%

Sample

1st row2015-01-13
2nd row2015-03-01
3rd row2015-01-02
4th row2015-04-30
5th row2015-05-02

Common Values

ValueCountFrequency (%)
2018-08-314
 
2.6%
2017-08-314
 
2.6%
2017-11-013
 
2.0%
2017-10-313
 
2.0%
2017-07-183
 
2.0%
2017-12-013
 
2.0%
2016-02-013
 
2.0%
2018-09-302
 
1.3%
2016-06-012
 
1.3%
2016-02-042
 
1.3%
Other values (115)124
81.0%

Length

2022-08-12T23:48:46.973490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-314
 
2.6%
2017-08-314
 
2.6%
2017-11-013
 
2.0%
2017-10-313
 
2.0%
2017-07-183
 
2.0%
2017-12-013
 
2.0%
2016-02-013
 
2.0%
2017-05-012
 
1.3%
2017-04-062
 
1.3%
2018-01-152
 
1.3%
Other values (115)124
81.0%

저자
Categorical

HIGH CARDINALITY
MISSING

Distinct139
Distinct (%)96.5%
Missing9
Missing (%)5.9%
Memory size1.3 KiB
주저자 : 정은영, 공저자 : 황영화, 교신(책임)저자 : 주선태
 
3
주저자 : 하정임, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 안상미, 공저자 : 유고은, 교신(책임)저자 : 김철욱
 
2
주저자 : 박민지, 공저자 : 강만종, 공저자 : 김은영, 공저자 : 이준범, 공저자 : 정창진, 교신(책임)저자 : 박세필
 
2
주저자 : 안상미, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 유고은, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임
 
2
주저자 : 권슬기, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임
 
1
Other values (134)
134 

Length

Max length312
Median length173.5
Mean length117.5347222
Min length9

Unique

Unique135 ?
Unique (%)93.8%

Sample

1st rowMinky Son,Chanin Park; Seul Gi Kwon; Woo Young Bang; Sam Woong Kim; Chul Wook Kim; Keun Woo Lee
2nd rowSang-je Park,Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Chul Wook Kim
3rd rowJung Hye Hwang,Seul Gi Kwon; Da Hye Park; Tae Wan Kim; Deok Gyeong Kang; Jeongim Ha; Sam Woong Kim; Chul Wook Kim
4th rowHwak Rae Cho,Jeongim Ha; Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Hak-Kyo Lee; Ki-Duk Song; Sam Woong Kim; Chul Wook Kim
5th rowLee DG,Nam J; Kim SW; Kang YM; An HJ; Kim CW; Choi JS

Common Values

ValueCountFrequency (%)
주저자 : 정은영, 공저자 : 황영화, 교신(책임)저자 : 주선태3
 
2.0%
주저자 : 하정임, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 안상미, 공저자 : 유고은, 교신(책임)저자 : 김철욱2
 
1.3%
주저자 : 박민지, 공저자 : 강만종, 공저자 : 김은영, 공저자 : 이준범, 공저자 : 정창진, 교신(책임)저자 : 박세필2
 
1.3%
주저자 : 안상미, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 유고은, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임2
 
1.3%
주저자 : 권슬기, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임1
 
0.7%
주저자 : 선두원, 공저자 : 김현권, 공저자 : 임현태, 교신(책임)저자 : 이정규1
 
0.7%
주저자 : 서현우, 공저자 : 서진규, 교신(책임)저자 : 양한술1
 
0.7%
주저자 : 김대우, 공저자 : 강석민, 공저자 : 김지민, 공저자 : 양영록, 공저자 : 윤형숙, 공저자 : 전중환, 교신(책임)저자 : 최양호1
 
0.7%
주저자 : 박병기, 주저자 : 안준상, 공저자 : 김민지, 공저자 : 김영진, 공저자 : 라창식, 공저자 : 홍병천, 교신(책임)저자 : 신종서1
 
0.7%
주저자 : 나써가남, 주저자 : 진종인, 공저자 : 김성수, 공저자 : 선두원, 공저자 : 이경림, 공저자 : 이정규, 공저자 : 임현태, 공저자 : 최병현, 공저자 : 하아나, 교신(책임)저자 : 공일근1
 
0.7%
Other values (129)129
84.3%
(Missing)9
 
5.9%

Length

2022-08-12T23:48:47.185087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
998
26.5%
공저자634
16.8%
주저자183
 
4.9%
교신(책임)저자167
 
4.4%
kim90
 
2.4%
lee68
 
1.8%
park48
 
1.3%
choi25
 
0.7%
kang23
 
0.6%
박다혜18
 
0.5%
Other values (671)1514
40.2%

학술지명
Categorical

HIGH CARDINALITY

Distinct115
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Asian-Australasian journal of animal sciences
 
6
Theriogenology
 
6
Korean journal for food science of animal resources = 한국축산식품학회지
 
4
Cellular reprogramming
 
4
한국축산식품학회지 = Korean journal for food science of animal resources
 
3
Other values (110)
130 

Length

Max length80
Median length43
Mean length30.07189542
Min length3

Unique

Unique92 ?
Unique (%)60.1%

Sample

1st rowBMC structural biology
2nd rowGene
3rd rowCanadian J. of animal science
4th rowAnimal biotechnology
5th rowBiosci, Biotechnol. Biochem

Common Values

ValueCountFrequency (%)
Asian-Australasian journal of animal sciences6
 
3.9%
Theriogenology6
 
3.9%
Korean journal for food science of animal resources = 한국축산식품학회지4
 
2.6%
Cellular reprogramming4
 
2.6%
한국축산식품학회지 = Korean journal for food science of animal resources3
 
2.0%
Korean Journal for Food Science of Animal Resources3
 
2.0%
Scientific reports3
 
2.0%
Korea Journal of Organic Agriculture2
 
1.3%
International Journal of Stem Cells2
 
1.3%
한국수정란이식학회지2
 
1.3%
Other values (105)118
77.1%

Length

2022-08-12T23:48:47.416747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
of64
 
10.4%
journal59
 
9.6%
science39
 
6.3%
animal35
 
5.7%
23
 
3.7%
and20
 
3.3%
korean17
 
2.8%
food15
 
2.4%
for13
 
2.1%
resources13
 
2.1%
Other values (149)317
51.5%

Interactions

2022-08-12T23:48:44.327409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-08-12T23:48:47.669426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-08-12T23:48:47.777593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-08-12T23:48:47.922008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-08-12T23:48:48.043523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-08-12T23:48:48.174034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-08-12T23:48:44.704786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2022-08-12T23:48:45.127713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-08-12T23:48:45.233481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
01축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Structural improtance of the C-terminal region in pig aldo-keto reductase family 1 member C1 and their effeccts on enzymatic activity2015-01-13Minky Son,Chanin Park; Seul Gi Kwon; Woo Young Bang; Sam Woong Kim; Chul Wook Kim; Keun Woo LeeBMC structural biology
12축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Selection of appropriate reference genes for RT-qPCR analysis in Berkshire, Duroc, Landrace, and Yorkshire pigs2015-03-01Sang-je Park,Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Chul Wook KimGene
23축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Molecular characterization of porcine PGM1 gene associated with meat quality traits2015-01-02Jung Hye Hwang,Seul Gi Kwon; Da Hye Park; Tae Wan Kim; Deok Gyeong Kang; Jeongim Ha; Sam Woong Kim; Chul Wook KimCanadian J. of animal science
34축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Single-nucleotide polymorphisms in pig EPHX1 gene are associated with pork quality traits2015-04-30Hwak Rae Cho,Jeongim Ha; Seul Gi Kwon; Jung Hye Hwang; Da Hye Park; Tae Wan Kim; Hak-Kyo Lee; Ki-Duk Song; Sam Woong Kim; Chul Wook KimAnimal biotechnology
45축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Proteomic analysis of reproduction proteins involved in litter size from porcine placenta2015-05-02Lee DG,Nam J; Kim SW; Kang YM; An HJ; Kim CW; Choi JSBiosci, Biotechnol. Biochem
56축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Effects of LEP, GYS1, MYOD1, and MYF5 polymorphisms on pig economic traits2016-07-29주저자 : 박상제, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김삼웅, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 조확래, 공저자 : 하정임, 공저자 : 황정혜, 교신(책임)저자 : 김철욱Annals of animal science
67축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱MSK1 regulates RANKL-induced NFATc1 expression through CREB and c-Fos2015-06-15주저자 : 하정임, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 권슬기, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱journal of biomedical research
78축산315017-5한우특성화사업단이정규OPU유래 수정란의 대량생산을 위한 고능력 공란우 반복사용 가능성에 관한 연구2015-09-23주저자 : 진종인, 공저자 : 김성수, 공저자 : 박번영, 공저자 : 이정규, 공저자 : 최병현, 교신(책임)저자 : 공일근한국수정란이식학회지
89축산315017-5한우특성화사업단이정규The Anti-M€ ullerian Hormone Pro le is Linked with the In Vitro Embryo Production Capacity and Embryo Viability after Transfer but Cannot Predict Pregnancy Outcome2016-02-04주저자 : 나써가남, 주저자 : 진종인, 공저자 : 김성수, 공저자 : 송석환, 공저자 : 이경림, 공저자 : 최병현, 공저자 : 하아나, 교신(책임)저자 : 공일근Reproduction in Domestic Animals
910축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱Effects of a non-synonymous CBG gene single nucleotide polymorphism (SNP) on meat-quality traits in Berkshire pigs2016-03-31주저자 : 권슬기, 공저자 : 강경희, 공저자 : 강덕경, 공저자 : 김일석, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 황정혜, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임CANADIAN JOURNAL OF ANIMAL SCIENCE

Last rows

번호분류과제번호과제명연구책임자논문명학술지 게재일자저자학술지명
143144축산315022-3사료비 절감, 사료자급률 개선을 위한 사료 대체원료 및 재조합 인공사료 개발추교문야자박과 팜박의 첨가 수준이 거세한우의 발육 및 도체특성에 미치는 영향2018-07-08주저자 : 박병기, 공저자 : 권응기, 공저자 : 김영수, 공저자 : 박중국, 공저자 : 서진교, 공저자 : 송금석, 공저자 : 안준상, 공저자 : 임환, 공저자 : 최욱진, 교신(책임)저자 : 신종서동물자원연구 = Annals of animal resource sciences
144145축산617077-5식용곤충을 활용한 프리미엄(휴먼그레이드)반려동물 간식 수출연구사업단조용훈Current status of the management of fall webworm, Hyphantria cunea: Towards the integrated pest management development2018-09-12주저자 : Tariku T. Edosa, 공저자 : Maryam Keshavarz, 공저자 : Yong Hun Jo, 공저자 : Young Sang Anh, 공저자 : Young Sang Anh, 교신(책임)저자 : Yeon Soo HanJournal of applied entomology
145146축산313012-5수출전략형 흑돼지의 산자수 증대 기술 개발김철욱association of single-nucleotide polymorphisms in nat9 and map3k3 genes with litter size traits in berkhsire pigs2018-10-02주저자 : 안상미, 주저자 : 황정혜, 공저자 : 강덕경, 공저자 : 김태완, 공저자 : 박다혜, 공저자 : 박화춘, 공저자 : 유고은, 교신(책임)저자 : 김철욱, 교신(책임)저자 : 하정임Archives Animal Breeding
146147축산715003-7제주흑우 대량증식 및 산업화박세필Suppression of hERG K+ current and cardiac action potential prolongation by 4-hydroxynonenal via dual mechanisms2018-08-24주저자 : Seong Woo Choi, 공저자 : Si Won Choi, 공저자 : Sung-Hwan Moon, 공저자 : Yin-Hua Zhang, 공저자 : Young Keul Jeon, 교신(책임)저자 : Sung Joon KimRedox Biology
147148축산715003-7제주흑우 대량증식 및 산업화박세필Safety and Optimization of Metabolic Labeling of Endothelial Progenitor Cells for Tracking.2018-09-04주저자 : Sang-Soo Han, 공저자 : Byoung-Chul Kim, 공저자 : Dong-Eun Lee, 공저자 : Hye-Eun Shim, 공저자 : Hyung-Min Chung, 공저자 : Soon-Jung Park, 공저자 : Sung-Hwan Moon, 교신(책임)저자 : Sun-Woong KangScientific Report
148149축산715003-7제주흑우 대량증식 및 산업화박세필Improved Transfection Efficiency and Metabolic Activity in Human Embryonic Stem Cell Using Non-Enzymatic Method2018-08-31주저자 : C-Yoon Kim, 주저자 : In-Kyu Hwang, 공저자 : Changhee Kang, 공저자 : Cho-Rok Jung, 공저자 : Eun-Bin Chung, 공저자 : Hanseul Oh, 공저자 : Jae-Hak Park, 공저자 : Jong Soo Kim, 공저자 : Ki-Sung Hong, 공저자 : Sung-Hwan Moon, 공저자 : Young-Hoon Jeong, 교신(책임)저자 : Hyung-Min ChungInternational Journal of Stem Cells
149150축산715003-7제주흑우 대량증식 및 산업화박세필The pharmacological inhibition of ERK5 enhances apoptosis in acute myeloid leukemia cells2018-08-31주저자 : Changhee Kang, 공저자 : C-Yoon Kim, 공저자 : Eun-Young Kim, 공저자 : Jong Soo Kim, 교신(책임)저자 : Hyung-Min ChungInternational Journal of Stem Cells
150151축산715003-7제주흑우 대량증식 및 산업화박세필Effects of a Novel p.A41P Mutation in the Swine Myogenic factor 5 (MYF5) Gene on Protein Stabilizing, Muscle Fiber Characteristics and Meat Quality2018-08-31주저자 : Chai, Han-Ha, 주저자 : Lee, Eun-A, 주저자 : Ryu, Youn-Chul, 공저자 : Park, Jong-Eun, 교신(책임)저자 : Kim, Jun-MoKorean journal for food science of animal resources = 한국축산식품학회지
151152축산315017-5한우특성화사업단이정규밤 발효사료 제조과정에서 미생물 첨가수준이 영양소 함량과 반추위 내 발효특성에 미치는 영향2018-05-01주저자 : 김동현, 공저자 : Paradhipta H. V. Dimas, 공저자 : 이성신, 공저자 : 이혁준, 공저자 : 주영호, 공저자 : 최낙진, 교신(책임)저자 : 김삼철Journal of environmental science international = 한국환경과학회지
152153축산316093-2구제역 백신 접종축 확인을 위한 표식인자개발이상길Physicochemical properties of줽articulate vaccine adjuvants: their pivotal role in줺odulating immune responses2018-08-01주저자 : 바스톨라 라케시, 교신(책임)저자 : 이상길Journal of Pharmaceutical Investigation