박승구

Education 

08/2009 ~ 02/2014    Kangwon National University, South Korea
Ph.D. in Department of Biotechnology 

Thesis: Multidimensional integratomic approach in understanding genome evolution, expression and function
Advisor: Prof. Sun Shim Choi

08/2007 ~ 08/2009    Kangwon National University, South Korea
Master of Science in Department of Biotechnology

Thesis: Positive selection signature in the TLR7 family
Advisor: Prof. Sun Shim Choi

03/2001 ~ 08/2007    Kangwon National University, South Korea
Bachelor of Science in Department of Medical Biotechnology
    
Postdoctoral Fellowship
04/2014 ~     Postdoctoral Research Associate, Hannelhalli Lab, University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland, College Park

Mentor: Prof. Sridhar Hannenhalli

Awards

• 09/2008    Outstanding poster in The 17th KOGO Conference. Seoul, Korea
• 11/2008    Outstanding poster in 2008 Korean Society for Bioinformatics and Systems Biology. CheongJu, Korea
• 01/2011    Outstanding poster in Th 9th Asia Pacific Bioinformatics Conference. Inchon,Korea
• 09/2011    Outstanding poster in The 20Th KOGO Conference. Osong, Korea
• 11/2014    Excellent Paper Award in Korean Society for Bioinformatics and Systems Biology

 

Patents

• Massive Data Merging Compression Apparatus and Method based on Gene Sequence using Binary Notation, Seung Gu Park and Sun Shim Choi, Korea Patent 1015823910000
• Display Apparatus and Method for DNA Sequence and Comments Information, Seung Gu Park and Sun Shim Cho, Korea Patent 1013764190000 
• Antibody Structure Sequence Numbering Apparatus and Method based on Next Generation Sequencing Data, Seung Gu Park and Sun Shim Choi, Korea Patent 10-2013-0167798
• Coding Apparatus and Method for DNA Sequence, Seung Gu Park and Sun Shim Choi, Korea Patent, 10-2012-0045886 
• Display Apparatus and Method for DNA Sequence and Structure Information, Seung Gu Park and Sun Shim Choi, Korea Patent 10-2012-0045888

 

Publications

• Bhak, Y., Jeong, H.-o., Cho, Y. S., Jeon, S., Cho, J., Gim, J.-A., . . . Kim, H.-M. (2019). Depression and suicide risk prediction models using blood-derived multi-omics data. Translational psychiatry, 9(1), 1-8.
• Cho, H., Han, S., Choe, J., Park, S. G., Choi, S. S., & Kim, Y. K. (2012). SMG5–PNRC2 is functionally dominant compared with SMG5–SMG7 in mammalian nonsense-mediated mRNA decay. Nucleic acids research, 41(2), 1319-1328.
• Cho, H., Kim, K. M., Han, S., Choe, J., Park, S. G., Choi, S. S., & Kim, Y. K. (2012). Staufen1-mediated mRNA decay functions in adipogenesis. Molecular cell, 46(4), 495-506.
• Cho, Y. S., Jun, J., Kim, J. A., Kim, H.-M., Chung, O., Kang, S.-G., . . . Kim, H.-J. (2019). Raptor genomes reveal evolutionary signatures of predatory and nocturnal lifestyles. BioRxiv, 598821.
• Jeon, Y., Park, S. G., Lee, N., Weber, J. A., Kim, H.-S., Hwang, S.-J., . . . Jeon, S. (2019). The draft genome of an octocoral, Dendronephthya gigantea. Genome biology and evolution, 11(3), 949-953.
• Kim, H.-M., Weber, J. A., Lee, N., Park, S. G., Cho, Y. S., Bhak, Y., . . . Luria, V. (2018). The jellyfish genome sheds light on the early evolution of active predation. BioRxiv, 449082.
• Kim, H.-M., Weber, J. A., Lee, N., Park, S. G., Cho, Y. S., Bhak, Y., . . . Luria, V. (2019). The genome of the giant Nomura’s jellyfish sheds light on the early evolution of active predation. BMC biology, 17(1), 28.
• Kim, S., Park, I., Park, S. G., Cho, S., Kim, J. H., Ipper, N. S., . . . Hong, H. J. (2017). Generation, Diversity Determination, and Application to Antibody Selection of a Human Naïve Fab Library. Molecules and cells, 40(9), 655.
• Kong, H. G., Kim, H. H., Chung, J.-h., Jun, J., Lee, S., Kim, H.-M., . . . Ryu, C.-M. (2019). The Galleria mellonella Hologenome Supports Microbiota-Independent Metabolism of Long-Chain Hydrocarbon Beeswax. Cell reports, 26(9), 2451-2464. e2455.
• Kwon, M. S., Lee, J. J., Min, J., Hwang, K., Park, S. G., Kim, E. H., . . . Lee, H. (2019). Brca2 abrogation engages with the alternative lengthening of telomeres via break‐induced replication. The FEBS journal, 286(10), 1841-1858.
• Lee, J. S., Das, A., Jerby-Arnon, L., Arafeh, R., Auslander, N., Davidson, M., . . . Park, S. G. (2018). Harnessing synthetic lethality to predict the response to cancer treatment. Nature communications, 9(1), 2546.
• Malin, J., Ezer, D., Ma, X., Mount, S., Karathia, H., Park, S. G., . . . Hannenhalli, S. (2015). Crowdsourcing: Spatial clustering of low-affinity binding sites amplifies in vivo transcription factor occupancy. BioRxiv, 024398.
• Mok, Y.-J., Park, S. G., & Choi, S. S. (2012). Comparative analysis of the structural and expressional parameters of microRNA target genes. Gene, 497(1), 103-109.
• Nair, N. U., Das, A., Amit, U., Robinson, W., Park, S. G., Basu, M., . . . Hannenhalli, S. (2018). Putative functional genes in idiopathic dilated cardiomyopathy. Scientific reports, 8(1), 66.
• Park, D., Park, J., Park, S. G., Park, T., & Choi, S. S. (2008). Analysis of human disease genes in the context of gene essentiality. Genomics, 92(6), 414-418.
• Park, S. G., & Choi, S. S. (2010). Expression breadth and expression abundance behave differently in correlations with evolutionary rates. BMC evolutionary biology, 10(1), 241.
• Park, S. G., & Hannenhalli, S. (2015). First intron length in mammals is associated with 5′ exon skipping rate. BioRxiv, 024463.
• Park, S. G., Hannenhalli, S., & Choi, S. S. (2014). Conservation in first introns is positively associated with the number of exons within genes and the presence of regulatory epigenetic signals. BMC genomics, 15(1), 526.
• Park, S. G., Kwon, K.-H., & Choi, S. S. (2012). Analysis of putative miRNA function using a novel approach, GAPPS-miRTar GE. Genes & Genomics, 34(2), 205-216.
• Park, S. G., Luria, V., Weber, J. A., Jeon, S., Kim, H.-M., Jeon, Y., . . . Hong, W. H. (2018). The whale shark genome reveals how genomic and physiological properties scale with body size. BioRxiv, 443036.
• Park, S. G., Park, D., Jung, Y.-J., Chung, E., & Choi, S. S. (2010). Positive selection signatures in the TLR7 family. Genes & Genomics, 32(2), 143-150.
• Sahu, A. D., Lee, J. S., Wang, Z., Zhang, G., Iglesias‐Bartolome, R., Tian, T., . . . Ponomarova, O. (2019). Genome‐wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy. Molecular systems biology, 15(3).
• Shin, E.-S., Chung, J.-H., Gu Park, S., Saleh, A., Lam, Y.-Y., Bhak, J., . . . Brachmann, J. (2019). Comparison of exercise electrocardiography and magnetocardiography for detection of coronary artery disease using ST-segment fluctuation score. Clinical hemorheology and microcirculation(Preprint), 1-10.
• Shin, E.-S., Park, S. G., Saleh, A., Lam, Y.-Y., Bhak, J., Jung, F., . . . Brachmann, J. (2018). Magnetocardiography scoring system to predict the presence of obstructive coronary artery disease. Clinical hemorheology and microcirculation(Preprint), 1-9.
• Yang, H., Ko, H.-J., Yang, J.-Y., Kim, J.-J., Seo, S.-U., Park, S. G., . . . Kweon, M.-N. (2012). Interleukin-1 promotes coagulation, which is necessary for protective immunity in the lung against Streptococcus pneumoniae infection. The Journal of infectious diseases, 207(1), 50-60.