Publications

2023

  1. Jun-Mo Kim and Rajesh Kumar Pathak, Editorial: Vetinformatics: An Insight for Decoding Livestock Systems Through In Silico Biology. (2023) Frontiers in Veterinary Science. 10: 1292733. (https://doi.org/ 10.3389/fvets.2023.1292733)
  2. Seok-Won Lim, Jung Hwang Jeon, Byeonghwi Lim, Min-Jae Jang, Doo-Hwan Kim, Chan Ho Kim, Jun-Mo Kim (2023) Blood transcriptomic differences in the immune response under stressful environmental according to stocking density in pigs. Journal of Animal Science. skad336. (https://doi.org/10.1093/jas/skad336)
  3. Rajesh Kumar Pathak and Jun-Mo Kim (2023) Identification of histidine kinase inhibitors through screening of natural compounds to combat mastitis caused by Streptococcus agalactiae in dairy cattle. Journal of Biological Engineering. 17(1), 1-16. (https://doi.org/10.1186/s13036-023-00378-0)
  4. Byeonghwi Lim, Min-Jae Jang, Seung-Mi Oh, Jin Gu No, Jungjae Lee, Sang Eun Kim,Sun A. Ock, Ik Jin Yun, Junseok Kim, Hyun Keun Chee, Wan Seop Kim, Hee Jung Kang, Kahee Cho, Keon Bong Oh and Jun-Mo Kim (2023). Comparative transcriptome analysis between long- and short-term survival after pig-to-monkey cardiac xenotransplantation reveals differential heart failure development. Animal Cells and Systems. 27(1), 234-248. (https://doi.org/10.1080/19768354.2023.2265150)
  5. Eun Young Kang, Do-Young Kim, Hyun Kyung Kim, Tae Hoon Kim, Wooki Kim, Cao Lei, Sang-gil Lee, Gyoungok Gang, Minhye Shin, Jun-Mo Kim, Gwang-woong Go (2023) Modified Korean MIND Diet: A nutritional intervention for improved cognitive function in elderly women through mitochondrial respiration, inflammation suppression, and amino acid metabolism regulation. Molecular Nutrition Food Research. 202300329. (https://doi.org/10.1002/mnfr.202300329)
  6. Byeonghwi Lim, Seung-Chai Kim, Won-Il Kim, Jun-Mo Kim (2023) Integrative time-serial networks for genome-wide lncRNA-mRNA interactions reveal interferon-inducible antiviral and T-cell receptor regulations against PRRSV infection. Developmental & Comparative Immunology. 104759. (https://doi.org/10.1016/j.dci.2023.104759)
  7. Seung-Hoon Lee, Sang-Hoon Lee, Hee-Bok Park, Jun-Mo Kim (2023) Estimation of genetic parameters for pork belly traits. Animal Bioscience. 36(8), 1156. (https://doi.org/10.5713/ab.22.0391)
  8. Marinus te Pas, Woncheoul Park, Krishnamoorthy Srikanth, Himansu Kumar, Steve Kemp, Jun-Mo Kim, Dajeong Lim, Ole Madsen, Henry van den Brand, Jong-Eun Park (2023) Transcriptomic and epigenomic network analysis reveals chicken physiological reactions against heat stress. Transcriptome Profiling. 333-359. (Academic Press). (https://doi.org/10.1016/B978-0-323-91810-7.00002-9)
  9.  Rajesh Kumar Pathak, Won-Il Kim, and Jun-Mo Kim  (2023) Targeting PEDV 3CL protease for identification of small molecule inhibitors: An insight from virtual screening, ADMET prediction, molecular dynamics, free energy landscape and binding energy calculation. Journal of Biological Engineering. 17:29. (https://doi.org/10.1186/s13036-023-00342-y)
  10. Seung-Hoon Lee and Jun-Mo Kim (2023) Breeding potential for pork belly to the novel economic trait. Journal of Animal Science and Technology.  65(1), 1. (https://doi.org/10.5187/jast.2022.e118)
  11.  Yoon-Been Park and Jun-Mo Kim (2023) Identification of lncRNA-mRNA interactions and genome-wide lncRNA annotation in animal transcriptome profiling. Journal of Animal Science and Technology. 65(2), 293. (https://doi.org/10.5187/jast.2023.e17)
  12. Seung-Hoon Lee, Sang-Hoon Lee, Hee-Bok Park, and Jun-Mo Kim (2023) Identification of Key Adipogenic Transcription Factors for the Pork Belly Parameters via the Association Weight Matrix. Meat Science. 195:109015. (https://doi.org/10.1016/j.meatsci.2022.109015)
  13. Gi Ppeum Han, Jong Hyuk Kim, Jun-Mo Kim and Dong Yong Kil (2023) Transcriptomic analysis of the liver in aged laying hens with different eggshell strength. Poultry Science. 102:102217. (https://doi.org/10.1016/j.psj.2022.102217)

2022

  1. Yejee Park, Min-Jae Jang and Jun-Mo Kim (2022) Transcriptome profiling and genomic atlas study for endocrine disrupting chemicals in whole body system of animals. Journal of Animal Breeding and Genomics. 6(4)195-200. (https://doi.org/10.12972/jabng.20220021) 
  2. Jun-Mo Kim (2022) Genetic parameters of muscle fiber traits and association of a novel polymorphism BspCNI MYOG locus in pigs. Journal of Animal Breeding and Genomics. 6(4)173-181. (https://doi.org/10.12972/jabng.20220019)
  3. Rajesh Kumar Pathak and Jun-Mo Kim (2022). Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science. Frontiers in Veterinary Science. 9:1008728. (https://doi.org/10.3389/fvets.2022.1008728)
  4. Do-Young Kim, Kyung-Tai Lee, Eun-Seok Cho, Woncheol Park, Kyu-Sang Lim, Si Nae Cheon, Bong-Hwan Choi, Dajeong Lim, Jong-Eun Park, and Jun-Mo Kim (2022) Integrative methylome and transcriptome analysis of porcine abdominal fat indicates changes of fat metabolism and immune responses during growing and finishing periods. Journal of Animal Science. 100(12). (https://doi.org/10.1093/jas/skac302)
  5. Chiwoong Lim, Byeonghwi Lim, Dong Yong Kil and Jun-Mo Kim (2022) Hepatic transcriptome profiling according to growth rate reveals acclimation in metabolic regulatory mechanisms to cyclic heat stress in broiler chickens. Poultry Science. 101:102167. (https://doi.org/10.1016/j.psj.2022.102167)
  6. Rajesh Kumar Pathak, Byeonghwi Lim, Do-Young Kim and Jun-Mo Kim (2022) Designing multi-epitope-based vaccine targeting surface immunogenic protein of Streptococcus agalactiae using immunoinformatics approach to control mastitis in dairy cattle. BMC Veterinary Research. 18:337. (https://doi.org/10.1186/s12917-022-03432-z)
  7. Byeonghwi Lim and Jun-Mo Kim (2022) Investigation of major canine diseases and quantitative traits based on estimation of genetic potential for dog breeding. Journal of Animal Breeding and Genomics. 6(2):27-34. (https://doi.org/10.12972/jabng.20220004)
  8. Deok Yun Kim, Byeonghwi Lim, Jun-Mo Kim and Dong Yong Kil (2022) Integrated transcriptome analysis for the hepatic and jejunal mucosa tissues of broiler chickens raised under heat stress conditions. Journal of Animal Science and Biotechnology, 13(1), 1-17. (https://doi.org/10.1186/s40104-022-00734-y)
  9. Yoo-Jin Park, Md Saidur Rahman, Won-Ki Pang, Do-Yeal Ryu, Min-Ji Jung, Shehreen Amjad, Jun-Mo Kim and Myung-Geol Pang (2022) Systematic multi-omics reveals the overactivation of T cell receptor signaling in immune system following bisphenol A exposure. Environmental Pollution. 119590. (https://doi.org/10.1016/j.envpol.2022.119590)
  10. Rajesh Kumar Pathak, Do-Young Kim, Byeonghwi Lim and Jun-Mo Kim (2022) Investigating multi-target antiviral compounds by screening of phytochemicals from neem (Azadirachta indica) against PRRSV: A vetinformatics approach. Frontiers in Veterinary Science: 835. (https://doi.org/10.3389/fvets.2022.854528)
  11. Seok-Won Lim and Jun-Mo Kim (2022) Study for applications of machine learning method using livestock genomic data. Journal of Animal Breeding and Genomics. 6(2):45-56. (https://doi.org/10.12972/jabng.20220006)
  12. SoHyun Park, Min-Jae Jang, Min Young Park, Jun-Mo Kim and Sangah Shin (2022) Interactive effects of the low-carbohydrate diet score and genetic risk score on Hypo-HDL-cholesterolemia among Korean adults: A cross-sectional analysis from the Ansan and Ansung Study of the Korean Genome and Epidemiology Study. Food Science and Nutrition. 2022;001:1-11. (https://doi.org/10.1002/fsn3.2909)
  13. Jin Seop Ahn, Jong-Hyun Won, Do-Young Kim, Sang-Eun Jung, Jun-Mo Kim and Buom-Yong Ryu (2022) Transcriptome alterations in spermatogonial stem cells exposed to bisphenol A. Animal Cells and Systems. 26(2):1-14. (https://doi.org/10.1080/19768354.2022.2061592)
  14. Rajesh Kumar Pathak, Byeonghwi Lim, Yejee Park and Jun-Mo Kim (2022)  Unraveling structural and conformational dynamics of DGAT1 missense nsSNPs in dairy cattle. Scientific Reports. 12:4873. (https://doi.org/10.1038/s41598-022-08833-6)
  15. Rajesh Kumar Pathak, Young-Jun Seo and Jun-Mo Kim (2022) Structural insights into inhibition of PRRSV Nsp4 revealed by structure-based virtual screening, molecular dynamics, and MM-PBSA studies. Journal of Biological Engineering. 16(4):1-11. (https://doi.org/10.1186/s13036-022-00284-x)
  16. Seung Yun Lee, Da Young Lee, Ji Hyeop Kang, Jae Won Jeong, Jae Hyeon Kim, Hyun Woo Kim, Dong Hoon Oh, Jun-Mo Kim, Shin-Jae Rhim, Gap-Don Kim, Hyeong Sang Kim, Young Dal Jang, Yeonhwa Park and Sun Jin Hur (2022) Alternative experimental approaches to reduce animal use in biomedical studies. Journal of Drug Delivery Science and Technology. 68:1-21. (https://doi.org/10.1016/j.jddst.2022.103131)
  17. Yejee Park, Yoon-Been Park, Seok-Won Lim, Byeonghwi Lim and Jun-Mo Kim (2022) Time series ovarian transcriptome analyses of the porcine estrous cycle reveals gene expression changes during steroid metabolism and corpus luteum development. Animals. 12(3), 376. (https://doi.org/10.3390/ani12030376)
  18. Seung-Hoon Lee, Sangwook Kim and Jun-Mo Kim (2022) Genetic correlation between biopsied and post-mortem muscle fibre characteristics and meat quality traits in swine. Meat Science 186:108735. (https://doi.org/10.1016/j.meatsci.2022.108735)
  19. Min-Jae Jang, Chiwoong Lim, Byeonghwi Lim and Jun-Mo Kim (2022) Integrated multiple transcriptomes in oviductal tissue across the porcine estrous cycle reveal functional roles in oocyte maturation and transport. Journal of Animal Science. 100(2), 1. (https://doi.org/10.1093/jas/skab364)
  20. Seok-Won Lim, Do-Youn Hwang, Sangwook Kim and Jun-Mo Kim (2022) Relationship between pork carcass grades and estimated traits based on conventional and non-destructive inspection methods. Journal of Animal Science and Technology. 64(1) 155-165. (https://doi.org/10.5187/jast.2021.e133)
  21. Kyu-Sang Lim, Hyung-Chul Kim, Bong-Hwan Choi, Ju-Whan Son, Kyung-Tai Lee, Tae-Jeong Choi, Yong-Min Cho, Han-Ha Chai, Jong-Eun Park, Woncheoul Park, Chiwoong Lim, Jun-Mo Kim and Dajeong Lim (2022)  Identification of Monoallelically Expressed Genes Associated with Economic Traits in Hanwoo (Korean Native Cattle). Animals. 12(1), 84. (https://doi.org/10.3390/ani12010084)

2021

  1.  Jun-Mo Kim and Seung-Hoon Lee (2021) Study of the growth related characteristics in miniature pigs. Journal of Animal Breeding and Genomics. 5(4) 125-148. (https://doi.org/10.12972/jabng.20210013) 
  2. Seung-Hoon Lee, Kyu-Sang Lim, Ki-Chang Hong and Jun-Mo Kim (2021) Genetic association of polymorphisms in porcine RGS16 with porcine circovirus viral load in naturally infected Yorkshire pigs. Journal of Animal Science and Technology.  63(6):1223-1231. (https://doi.org/10.5187/jast.2021.e105)
  3. Young-Jun Seo, Byeonghwi Lim, Do-Young Kim, Kyu-Sang Lim and Jun-Mo Kim (2021) Regulation of swine growth by back fat tissue during growing and finishing stages. Animals. 11(2), 3511. (https://doi.org/10.3390/ani11123511)
  4. Sangwook Kim, Eun-Seok Cho, Young-Sin Kim, Kyung-Tai Lee, and Jun-Mo Kim (2021) Novel insight into linkage disequilibrium and GBP1 and GBP5 SNP haplotypes associated with PRRSV susceptibility in Korean native pigs. Animal Genetics. (https://doi.org/10.1111/age.13134)
  5. Sangwook Kim, Byeonghwi Lim, Sameer-ul-Salam Mattoo, Eun-Young Oh, Chang-Gi Jeong, Won-Il Kim, Kyung-Tai Lee, Sang-Myeong Lee and Jun-Mo Kim (2021) Comprehensive transcriptomic comparison between porcine gamma delta T cells with CD8+ and CD8- marker types revealed distinct immune mechanisms. Animals. 11(8), 2165. (https://doi.org/10.3390/ani11082165)
  6. Do-Young Kim and Jun-Mo Kim (2021) Multi-omics integration strategies for animal epigenetic studies. Animal Bioscience. 34(8):1271-1282.  (https://doi.org/10.5713/ab.21.0042)
  7. Sangwook Kim, Byeonghwi Lim, Joohyeon Cho, Seokhyun Lee, Chang-Gwon Dang, Jung-Hwan Jeon, Jun-Mo Kim and Jungjae Lee (2021) Genome-wide identification of novel causative genes for milk production traits in korean holstein cattle. Animals.  (https://www.mdpi.com/2076-2615/11/5/1392)
  8. Dong Yong Kil, Jun-Mo Kim, Hwan Ku Kang and Dong Yong Kim (2021) Transcriptomic analysis of the liver in aged laying hens with different intensity of brown eggshell color. Animal Bioscience. 34(5):811-823. (https://www.animbiosci.org/journal/view.php?doi=10.5713/ajas.20.0237)
  9. Gunsup Lee, Shailesh Budhathoki, Geum-Young Lee, Kwang-ji Oh, Yeon Kyoung Ham, Young Jun Kim, Ye Rin Lim, Phuong Thi Hoang, Yongjun Lee, Seok-Won Lim, Jun-Mo Kim, Seungchan Cho, Tai-Hyun Kim, Jin-Won Song, Sukchan Lee and Won-Keun Kim (2021) Broad-spectrum antiviral activity of 3D8, a nucleic acid-hydrolyzing single chain variable fragment (scFv), targeting SARS-CoV-2 and multiple coronaviruses in vitro. Viruses. 13(4), 650. (https://doi.org/10.3390/v13040650)

2020

  1. Jungjae Lee, Sang-Min Lee, Byeonghwi Lim, Jun Park, Kwang-Lim Song, Chong-Sam Na and Jun-Mo Kim (2020) Estimation of variance components and genomic prediction for individual birth weight using three different Genome-Wide SNP platforms in Yorkshire pigs. Animals. 10(12):1-11. (https://doi.org/10.3390/ani10122219)
  2. Seong-Ah Kim, Jinwoo Ha, Byeonghwi Lim, Jun-Mo Kim, and Sangah Shin (2020) The association between major dietary pattern and low muscle mass in Korean middle-aged and elderly populations: Based on the Korea national health and nutrition examination survey. Nutrients. 12(11):1-16. (https://doi.org/10.3390/nu12113543)
  3. Byeonghwi Lim, Sangwook Kim, Kyu-Sang Lim, Chang-Gi Jeong, Seung-Chai Kim, Sang-Myeong Lee, Choi-Kyu Park, Marinus F.W. te Pas, Haesu Gho, Tae-Hun Kim, Kyung-Tai Lee, Won-Il Kim, and Jun-Mo Kim (2020) Integrated time-serial transcriptome networks reveal common innate and tissue specific adaptive immune responses to PRRSV infection. Veterinary Research. 51(1):1-18. (https://doi.org/10.1186/s13567-020-00850-5)
  4. Inkyu Yoo, Doyoung Kim, Jisoo Han, Soohyung Lee, Minsun Hong, Bo-Young Jeon, Jun-Mo Kim, and Hakhyun Ka (2020) Transcriptomic analysis of interferon-γ-regulated genes in endometrial explants and their possible role in regulating maternal endometrial immunity during the implantation period in pigs, a true epitheliochorial placentation species. Theriogenology. 155: 114-124. (https://doi.org/10.1016/j.theriogenology.2020.05.045)

2019

  1. Himansu Kumar, Woncheoul Park, Dajeong Lim, Krishnamoorthy Srikanth, Jun-Mo Kim, Xinzheng Jia, Jianlin Han, Olivier Hanotte, Jong-Eun Park and Samuel Oyola (2019) Whole metagenome sequencing of cecum microbiomes in Ethiopian indigenous chickens from two different altitudes reveals antibiotic resistance genes. Genomics. 112(2):1988-1999. (https://doi.org/10.1016/j.ygeno.2019.11.011)
  2. Min Young Park, Youn-Chul Ryu, Chung-Nam Kim, Kyung-Bo Ko and Jun-Mo Kim (2019) Evaluation of myosin heavy chain isoforms in biopsied Longissimus thoracis muscle for estimation of meat quality traits in live pigs. Animals. 10(1):1-9.(https://doi.org/10.3390/ani10010009)
  3. Krishnamoorthy Srikanth, Nam-Young Kim, WonCheoul Park, Jae-Min Kim, Kwon-Do Kim, Kyung-Tai Lee, Ju-Hwan Son, Han-Ha Chai, Jung-Woo Choi, Gul-Won Jang, Heebal Kim, Youn-Chul Ryu, Jin-Wu Nam, Jong-Eun Park, Jun-Mo Kim and Dajeong Lim (2019) Comprehensive genome and transcriptome analyses reveal genetic relationship, selection signature, and transcriptome landscape of small-sized Korean native Jeju horse. Scientific Reports. Article number: 16672. (https://doi.org/10.1038/s41598-019-53102-8)
  4. Jungjae Lee, Jun-Mo Kim and Dorian J. Garrick (2019) Increasing the accuracy of genomic prediction in purebred Limousin beef cattle by including cross-bred Limousin data and accounting for an F94L variant in MSTN. Animal Genetics . 50(6):621-633. (https://doi.org/10.1111/age.12846)
  5. Krishnamoorthy Srikanth, WonCheoul Park, Dajeong Lim, Kyung Tai Lee, Gul Won Jang, Bong Hwan Choi, Hakhyun Ka, Jong-Eun Park and Jun-Mo Kim (2019) Serial gene co-expression network approach to mine biological meanings from integrated transcriptomes of the porcine endometrium during estrous cycle. Functional & Integrative Genomics. Published Online.(https://doi.org/10.1007/s10142-019-00703-1)
  6. Krishnamoorthy Srikanth, Himansu Kumar, Woncheoul Park, Mi-Jeong Byun, Dajeong Lim, Steve Kemp, Marinus Te Pas, Jun-Mo Kim and Jong-Eun Park (2019) Cardiac and skeletal muscle transcriptome response to heat stress in Kenyan chicken ecotypes adapted to low and high altitudes reveal differences in thermal tolerance and stress response. Frontiers in Genetics. 993(10):1-15. (https://doi.org/10.3389/fgene.2019.00993)
  7. Deokhoon Jun, Jun-Mo Kim, Shaun O’Leary and Venerina Johnston (2019) Cross-cultural adaptation and validation of the Latack Coping Scale in the general working population in Korea. Work. 63(3):325-334. (https://content.iospress.com/articles/work/wor192938)
  8. Jungjae Lee, SeokHyun Lee, Jong-Eun Park, Sung-Ho Moon, Sung-Woon Choi, Gwang-Woong Go, Dajeong Lim and Jun-Mo Kim (2019) Genome-wide association study and genomic predictions for exterior traits in Yorkshire pigs. Journal of Animal Science. 97(7):2793-2802. (https://doi.org/10.1093/jas/skz158)
  9. Seung-Hoon Lee, Chung-Nam Kim, Kyoung-Bo Ko, Se-Pill Park, Ho-Kyoung Kim, Jun-Mo Kim and Youn-Chul Ryu (2019) Comparisons of Beef Fatty Acid and Amino Acid Characteristics between Jeju Black Cattle, Hanwoo, and Wagyu Breeds. Food Science of Animal Resources. 39(3):402-409. (https://doi.org/10.5851/kosfa.2019.e33)
  10. Jungjae Lee, Ji-Hoon Kang and Jun-Mo Kim (2019) Bayes Factor-Based Regulatory Gene Network Analysis of Genome-Wide Association Study of Economic Traits in a Purebred Swine Population. Genes. 10(293):1-14. (https://doi.org/10.3390/genes10040293)
  11. Woncheoul Park, Krishnamoorthy Srikanth, Dajeong Lim, Mina Park, Steve Kemp, Tadelle Dessie, Marinus F. W. te Pas, Jong-Eun Park and Jun-Mo Kim (2019) Comparative transcriptome analysis of Ethiopian indigenous chickens from low and high altitudes under heat stress condition reveals differential immune response. Animal Genetics. 50(1):42-53. (https://doi.org/10.1111/age.12740)
  12. Himansu Kumar, Woncheol Park, Krishnamoorthy Srikanth, Bong-Hwan Choi, Eun-Seok Cho, Kyung-Tai Lee, Jun-Mo Kim, Kwangmin Kim, Jun-hyung Park, Dajeong Lim and Jong-Eun Park (2019) Comparison of bacterial populations in the ceca of swine at two different stages and their functional annotations. Genes. 10(5), 382. (https://doi.org/10.3390/genes10050382)
  13. Himansu Kumar, Krishnamoorthy Srikanth, Woncheol Park, Seung-Hoon Lee, Bong-Hwan Choi, Hana Kim, Yong-Min Kim, Eun-Seok Cho, Jin Hyoung Kim, Jang Hee Lee, Ji Yeon Jung, Gwang-woong Go, Kyung-Tai Lee, Jun-Mo Kim, Jungjae Lee, Dajeong Lim and Jong-Eun Park (2019) Transcriptome analysis to identify long non coding RNA (lncRNA) and characterize their functional role in back fat tissue of pig. Gene. 703:71-82. (https://doi.org/10.1016/j.gene.2019.04.014)
  14. Marinus F.W. te Pas , Woncheoul Park , Krishnamoorthy Srikanth , Steve Kemp , Jun-Mo Kim, Dajeong Lim and Jong-Eun Park (2019) Transcriptomic profiles of muscle, heart, and spleen in reaction to circadian heat stress in Ethiopian highland and lowland male chicken. Cell Stress and Chaperones. 24(1):175-194. (https://doi.org/10.1007/s12192-018-0954-6)

2018

  1. Youn-Chul Ryu, Eun-A Lee, Han-Ha Chai, Jong-Eun Park, and Jun-Mo Kim (2018) Effects of a novel p.A41P mutation in the swine myogenic factor 5 (MYF5) gene on protein stabilizing, muscle fiber characteristics and meat quality. Korean Society for Food Science of Animal Resources. 38(4):711-717. (https://dx.doi.org/10.5851%2Fkosfa.2018.e9)
  2. Jang-il Sohn, Kyoung Woo Nam, Hyosun Hong, Jun-Mo Kim, Dajeong Lim, Kyung-Tai Lee, Yoon Jung Do, Chang Yeon Cho, NamShin Kim, Han-Ha Chai and Jin-Wu Nam (2018) Whole genome and transcriptome map of the entirely black native Korean chicken breed Yeonsan Ogye. GigaScience. 7(7):1-14. (https://doi.org/10.1093/gigascience/giy086)
  3. H. Kang, E. A. Lee, K. C. Hong and J. M. Kim (2018) Regulatory gene network from a genome-wide association study for sow lifetime productivity traits. Animal Genetics. 49(3):254-258. (https://doi.org/10.1111/age.12640)
  4. Jun-Mo Kim, Dong-Geun Kang, Sang-Hoon Lee, Kyung-Bo Ko and Youn-Chul Ryu (2018) Effects of maternal parity on the pork quality traits of progeny. Animal Production Science. 58(11):2109-2116.(https://doi.org/10.1071/AN16829)
  5. Jun-Mo Kim, Sang-Hoon Lee and Youn-Chul Ryu (2018) Comparisons of meat quality and muscle fibre characteristics on multiple pig breeds and sexes using principal component analysis. Animal Production Science. 58(11):2091-2099. (https://doi.org/10.1071/AN16223)
  6. J-M Kim, AW Santure, H Barton, JL Quinn, EF Cole, Great Tit HapMap Consortium, ME Visser, BC Sheldon, MAM Groenen, K van Oers and J Slate (2018) A high density SNP chip for genotyping great tit (Parus major) populations and its application to studying the genetic architecture of exploration behaviour. Molecular Ecology Resources. 18: 877-891. (https://doi.org/10.1111/1755-0998.12778)
  7. Jun-Mo Kim, Jong-Eun Park, Inkyu Yoo, Jisoo Han, Namsin Kim, Eunsuk Cho, Bonghwan Choi, Sunho Choi,, Marinus F. W. te Pas, Hakhyun Ka, and Kyung-Tai Lee (2018) Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks. Science Reports. 8, Article number: 5436. (https://doi.org/10.1038/s41598-018-23655-1)
  8. Eun-A Lee, Ji-Hoon Kang, Jin-Hyung Cheong, Kyung-Chul Ko, Woo-Min Jeon, Ki-Chang Hong and Jun-Mo Kim (2018) Evaluation of whole pork belly qualitative and quantitative properties using selective belly muscle parameters. Meat Science. 137:92-97. (https://doi.org/10.1016/j.meatsci.2017.11.012)
  9. Seung-Hoon Lee, Min-Hoi Hur, Eun-A Lee, Ki-Chang Hong, and Jun-Mo Kim (2018) Genomic characterization of the porcine CRTC3 and the effects of a non-synonymous mutation p.V515F on lean meat production and belly fat. Meat Science. 137:211-215. (https://doi.org/10.1016/j.meatsci.2017.11.019)
  10.  Jun-Mo Kim, Kyu-Sang Lim, Kyung-Bo Ko and Youn-Chul Ryu (2018) Estimation of pork quality in live pigs using biopsied muscle fibre number composition. Meat Science. 137:130-133.  (https://doi.org/10.1016/j.meatsci.2017.11.020)
  11. Deokhoon Jun, Venerina Johnston, Jun-Mo Kim and Shaun O’Leary (2018) Cross-cultural adaptation and validation of the depression, anxiety and stress scale-21 (DASS-21) in the Korean working population. Work-A Journal of Prevention Assessment and Rehabilitation. 59(1): 93-102. (https://doi.org/10.3233/WOR-172661)
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