CAU Scholar's Space: Kim, Jun-Mo

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Kim, Jun-Mo (김준모)

대학원 (동물생명공학과.)

Research Area: Animal genetic phenomena, Interpreting complex genomic information, Development of SNP Chip

Tel 031-670-3263
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Pig:12||RNAseq:7||Transcriptome:6||GWAS:6||Bisphenol A:5||pig:5||BPA:5||Heat stress:5||Livestock:4||single nucleotide polymorphism:4||meat quality:4||RNASeq:4||heat stress:4||network analysis:4||Single nucleotide polymorphism:4||vetinformatics:3||transcriptome:3||Molecular dynamics simulation:3||Endocrine disruptor:3||Meat quality:3||Liver:3||genomic prediction:3||Molecular docking:3||Pork belly:3||Estrous cycle:3||Polymorphism:3||Lacticaseibacillus rhamnosus:3||Big data:2||hub genes:2||Mastitis:2||Pigs:2||Yorkshire pigs:2||Component muscle:2||Hanwoo:2||ERRγ:2||Korean Native Pig:2||Gene coexpression network:2||Molecular dynamics:2||Economic trait:2||Association weight matrix:2||RNA sequencing:2||translation:2||metabolome:2||Heritability:2||molecular docking:2||molecular dynamics simulation:2||Biopsy:2||multiomics analysis:2||Smart farm:2||Androgen receptor:2||muscle fiber characteristics:2||DEGs:2||Myosin heavy chain:2||Immune response:2||DNA marker:2||drug discovery:2||C. elegans:2||Cattle:2||obesity:2||p53 signaling:2||Data recirculation:2||Data warehouse:2||Chicken:2||MAPK signaling:2||gene coexpression network:2||porcine:2||MD simulation:2||Veterinary drug:2||PPAR signaling:2||Vetinformatics:2||PRRSV:2||growth performance:2||psychometric properties:2||Virtual screening:2||heart failure:2||Digital twin:2||Gene regulation:1||Genetic Correlation:1||Genetic Parameter:1||Genetic correlation:1||Genome:1||Genome‐wide association studies:1||GenomeWide Association Study:1||Genomic selection:1||Genomic variant:1||Genomics:1||Gompertz model:1||Growth Performance:1||Growth characteristics:1||Growth rate:1||Gut–brain axis:1||Gut barrier function:1||H5N1:1||HEXA study:1||Heart:1||Heat Stress:1||Hepatic Transcriptome:1||Hepatic lipogenesis:1||Highland and lowland male chicken:1||Holstein cattle:1||IFNG:1||IGF1:1||Immune mechanisms:1||Immune system:1||Immunoinformatics:1||In vitro models:1||IncRNA:1||Indigenous chicken:1||Integrative network:1||Interferon inducible regulation:1||Invertebrate model:1||Jeju black cattle:1||Jejunal mucosa:1||KMIND diet:1||KEGG:1||KNP:1||Kimchi consumption:1||Korean native chicken:1||L. casei:1||LEfSe:1||Landrace:1||Laying hen:1||Laying stage:1||Lean metabolic dysfunctionassociated steatotic disease:1||Limousin:1||Livestock breeding:1||Livestock healthcare:1||Lnc RNA function:1||LncRNA:1||LncRNA annotation:1||LncRNAmRNA interaction:1||Long non coding RNA:1||Long noncoding RNA:1||Longissimus thoracis:1||Lung:1||MAPK signaling pathway:1||MIR133B:1||MIR206:1||Machine Learning:1||Meat grading:1||Mediterranean Diet Score:1||Methylome:1||Microbiome:1||Milk production:1||Miniature Pigs:1||Monoallelic expression:1||Multiepitope vaccine:1||Multiomics:1||Multiomics integration analysis:1||Multitissue:1||Muscle biopsy:1||Muscle fiber characteristics:1||Muscle fibre:1||Muscle fibre characteristics:1||Myogenic factor 5 (MYF5):1||MyomiR:1||NOVA system:1||NPs:1||Nanobioinformatics:1||Network analysis:1||Nondestructive inspection method:1||Nsp4:1||One Health:1||Organonachip:1||Ovarian transcriptome:1||PCV2:1||PEDV:1||PRRS virus:1||Peking duck:1||Phenome:1||Pig breeding:1||Porcine carcass:1||Porcine endometrium:1||Porcine reproductive and respiratory syndrome:1||Pork Belly:1||Pork belly evaluation:1||Pork quality:1||Prediction:1||Principal Component Analysis:1||Probiotics:1||Promoter variations:1||Proteinligand interaction:1||RGS16:1||RNA‐seq:1||Reproductive tissues:1||SARSCoV2:1||SILVA database:1||SNP:1||Skeletal muscle:1||Spleen:1||StearoylCoA Desaturase [SCD]:1||Swine:1||Systemic immunity:1||T cell receptor regulation:1||T cell hyperactivation:1||T1R:1||TCR signaling Pathways:1||TSG analysis:1||Transcription factor:1||Transcriptome profiles:1||Transcriptome profiling:1||Transcriptomic analysis:1||Tumor necrosis factor α:1||Ultraprocessed food:1||Veterinary medicine:1||Veterinary sciences:1||Viral load:1||Wagyu:1||Weaning stress:1||Yeonsan Ogye:1||Yorkshire Pig:1||Yorkshire pig:1||abdominal fat:1||abdominal obesity:1||acclimation:1||adaptive immunity:1||admet:1||age:1||aged laying hen:1||association weight matrix:1||autophagy:1||beef:1||betulinic acid:1||boar taint:1||body weight:1||broiler:1||broiler chicken:1||cecum microbiota:1||cell deconvolution:1||chronic stress:1||coexpression network:1||computational models:1||coronaviruses:1||cross sectional area of muscle fiber:1||cultural adaptation:1||datasets with different experimental designs:1||de novo lipogenesis:1||dietary factor:1||dietary pattern:1||differentially expressed gene:1||differentially expressed gene analysis:1||dog:1||dog industry:1||dyslipidemia:1||edgeR:1||eggNOG:1||eggshell strength:1||epigenetic:1||exploration behaviour:1||exterior traits:1||food waste:1||functional genomics:1||gene microarray:1||gene networks:1||genetic disease:1||genetic risk score:1||genomewide association studies:1||growth curve parameters:1||gutbrain axis:1||hepatic transcriptome:1||highlands:1||host susceptibility:1||hyperpigmentation:1||hypoHDLcholesterolemia:1||immune response:1||in silico analysis:1||individual birth weight:1||innate immunity:1||insulin:1||integrated transcriptomes:1||laying hens:1||lean meat content:1||leukopenia:1||liver:1||livestock systems:1||lncRNAs:1||low muscle mass:1||lowcarbohydrate diet score:1||lowlands:1||mRNA:1||mTOR:1||meat texture analysis:1||miRNA:1||microbiome:1||mild cognitive impairment:1||millets:1||molting:1||multiomics:1||multiomics integration:1||multiomics integration analysis:1||multiomics:1||multiple factors:1||muscle fiber composition:1||muscle fiber morphology:1||muscle fibre characteristics:1||muscle fibre composition:1||myosin heavy chain 4 gene:1||myostatin:1||nextgeneration sequencing:1||nutritional characteristics:1||pathways:1||personality:1||phytochemicals:1||pig estrous cycle:1||pigs:1||polymorphism:1||polyunsaturated fatty acids:1||porcine cardiac tissue:1||porcine circovirus type 2:1||porcine reproductive and respiratory syndrome virus:1||pork production:1||pork quality:1||postmortem metabolism:1||principal component analysis:1||psychobiotics:1||qRTPCR:1||quantitative trait:1||regulatory network:1||reproductive tissue:1||reproductive traits:1||sarcopenia:1||screening:1||single nucleotide polymorphism (SNP):1||singlechain variable fragment:1||skeletal muscle:1||sow parity:1||spermatogonial stem cell:1||stocking density:1||stress:1||survival period:1||systems vaccinology:1||taste receptors:1||thermal tolerance:1||thiobarbituric acid:1||timeseries network:1||tissuespecific gene analysis:1||total number of muscle fiber:1||transcription regulation:1||transcriptome analysis:1||transcriptome analysis (or RNAseq analysis):1||transcriptome and epigenome comparisons:1||transcriptome maps:1||transcriptomics:1||veterinary science:1||veterinary systems biology:1||viral load:1||virtual screening:1||virus:1||whole blood:1||whole genome de novo assembly:1||work stress:1||xenotransplantation:1||βoxidation:1||미니돼지:1||성장특성:1||16S rRNA sequencing:1||품종특성:1||3hydroxysteroid dehydrogenase:1||AK3L1:1||Acclimation:1||Adenylate kinase 3like 1:1||Adult tissues:1||Affective disorders:1||Aged Laying Hen:1||Alternative animal study:1||Angus:1||Animal health:1||Animal traits:1||Ansan Ansung cohort:1||Antibiotic resistant gene.:1||Antibody titer:1||Atherogenic diet:1||Atlas:1||Avian influenza virus:1||Axiom:1||Azadirachta indica:1||Backfat:1||Backfat thickness:1||Bayes factor:1||Bayesian method:1||Belly:1||Belly Component:1||Belly parameter:1||Belly quality:1||Belly quantity:1||Berkshire:1||Betaine:1||Betulinic acid:1||Bioinformatics:1||Biomedicine:1||Breast musclemeat:1||Breed characteristics:1||Breeding potential:1||Breeding value:1||Broiler Chicken:1||Broiler chicken:1||CAZy:1||CD8:1||CNV:1||COVID19:1||CRTC3:1||Carcass weight:1||Cardiac xenotransplantation:1||Chronic stress:1||Complement system:1||Conceptus:1||Coping strategy:1||Corpus luteum:1||DEG analysis:1||DNA methylation:1||DSSInduced colitis:1||Differentially expressed gene:1||Differentially expressed gene analysis:1||Disease:1||Disease management:1||Eggshell Color:1||Endocrine disrupting chemicals:1||Endocrinedisrupting chemical:1||Endometrium:1||Epigenetic:1||Epitope prediction:1||Fat:1||Fatness Quality:1||Fine mapping:1||Finishing pig:1||Functional enrichment analysis:1||GCN:1||Gallus gallus domesticus:1||Gamma delta T cell:1||Gene Expression:1||Gene cluster:1||Gene expression:1||

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