COVER LETTER: I am writing a letter to apply for a job position. I was in charge of labs for Animal Genomics and Bioinformatics at the National Institute of Animal Science from 1994 to 2016. I am specialized for biological lab works, and I designed and performed several genetics and genomics research projects as a principal investigator. All the projects need biological tools to investigate major factors. I also think that I can learn various tools and concepts if I do not know the skills that you need. The followings are what I have been done in my research projects. I would like to start my research works in your institution. The followings are my brief summary for the experience as a research scientist. After finishing my Ph.D. at the Ohio State University majoring in Animal Genetics, I have worked at National Institute of Animal Science (NIAS) in Korea for 24 years as a senior scientist who is in charge of Animal Bioinformatics and Genomics Division. As a lab header, I managed a genomics laboratory for conducting research projects. I guide 10 research scientists with 20 postdocs and around 40 master students, performing individuals as well as team projects that had various topics in Breeding and Genetics, Molecular biology, Medical science, and Nutrition. Due to immigration of my family from South Korea to the US I have quit my position at NIAS, and I landed in Rockville, MD in 2017. At the time I joined the laboratory of Dr. Michael Davis at Ohio State University, I found causative genetic mutations that were significantly related to quantitative traits of beef cattle using several sequencing analysis techniques and single nucleotide polymorphism procedures using DNA, enzymes, and protein samples. I used DNA sequencing, protein electrophoresis, RT-PCR, and Q-PCR to verify genetic mutations. I have mainly used general liner model procedures in the statistical analysis model using statistical analysis system (SAS). For massive genetic data that I generated from the experiment, I used R procedures to draw gene mapping, gene pathways, and various genome wide analysis (GWAS) plots. Using protein and DNA sequences, I also analyzed phylogenetic analysis of populations. As a lab header, I also managed animal populations that were poultry, bovine, and swine in terms of various challenge experiments in feeding systems and animal behavior to identify causative genomic regions using DNA and protein variants. I have completed a project that was designed to complete genetic maps for swine leucocyte antigen (SLA) regions, approximately 2 Mb. The basic target of the project was for construction of miniature pig lines using SLA genotypes, and the pigs were used for bio-organ transplantation. In addition, I used a big data to draw physical maps for genomic QTLs. I also used comparative genomics tools for both analyzing causative genetic variants and genetic relationships among individuals as well as various breeds. More recently, I have done comparative genomics with massive amount genome data of gut microbes using 16S RNA sequences to identify phylogenetic relationships, regarding what kinds of microbes actually influenced development of rumen cells. I managed feeding experiment to characterize specific rumen microbes between normal and additive populations. Recent study that I analyzed in comparative genomics analysis was focused on to identify causative microbes as well as genomic segments for diarrhea using stools of calves. In the study I have challenged to define causative gene as well as genomics segments that influenced BLV (Bovine Leukocyte Virus) using functional and comparative genomics tools. I have analyzed massive amount of SNP data sets for bovine, swine, and chicken regarding quantitative and qualitative traits. I have performed whole genome sequencing based on NGS (next genome sequencing) techniques for various animals. For beef cattle, both 50K and HD SNP chips are used to find genome wide associations with the meat quality trait, which is the major issue in Korea. Associations between genetic variants and pH level in swine and weights in chicken. When I joined the functional genomics laboratory of Dr. Erin Connor at USDA, she and I tried to find expression levels of genes that were related to feed efficiencies of Holstein cows. I have also used different formats of the expressional design that was focused on finding significant genes related to expression levels when different levels of energy diets are administrated according to the developmental stages using Korean cattle. Moreover, finding differentially expressed genes are extremely fantastic areas to study, and so, I was trying to find genes that are differentially responded for heat stress using cows and chickens. For the analysis of heat resistance, transcriptoms using both RNAseq and Mediseq are screened for Holstein cattle and using Korean chicken in my side, and African chickens are analyzed by Dr. Steve Camp who is working at ILRI (International Laboratory Research Institute, Kenya). Currently, I am in editorial boards for the scientific journals "GENE" as an associated editor. I eager to do research work with adapting new techniques in your institute if possible. I think I can do various research works in your institute with great fast learning techniques. You can reach me either my e-mail ( "chung1333@gmail.com" chung1333@gmail.com) or cellular phone (240-543-0965). Best regards Hoyoung Chung

Highlights:

• SAS
• Pig
• Statistical Analysis
• Active Server Pages
• Chef
• Collection
• Construction
• Database
• Dialysis
• Electrophoresis