Year |
Citation |
Score |
2024 |
Lee SM, Le HT, Taizhanova A, Nong LK, Park JY, Lee EJ, Palsson BO, Kim D. Experimental promoter identification of a foodborne pathogen subsp. serovar Typhimurium with near single base-pair resolution. Frontiers in Microbiology. 14: 1271121. PMID 38239730 DOI: 10.3389/fmicb.2023.1271121 |
0.562 |
|
2023 |
Ko S, Kim J, Lim J, Lee S-M, Park JY, Woo J, Scott-Nevros ZK, Kim JR, Yoon H, Kim D. Blanket antimicrobial resistance gene database with structural information, BOARDS, provides insights on historical landscape of resistance prevalence and effects of mutations in enzyme structure. Msystems. e0094323. PMID 38085058 DOI: 10.1128/msystems.00943-23 |
0.5 |
|
2023 |
Kim Y, Lee SM, Nong LK, Kim J, Kim SB, Kim D. Characterization of bacteriophages, KP1 and KP12, with deep learning-based structure prediction. Frontiers in Microbiology. 13: 990910. PMID 36762092 DOI: 10.3389/fmicb.2022.990910 |
0.539 |
|
2023 |
Bang I, Lee SM, Park S, Park JY, Nong LK, Gao Y, Palsson BO, Kim D. Deep-learning optimized DEOCSU suite provides an iterable pipeline for accurate ChIP-exo peak calling. Briefings in Bioinformatics. PMID 36702751 DOI: 10.1093/bib/bbad024 |
0.557 |
|
2023 |
Park JY, Lee SM, Ebrahim A, Scott-Nevros ZK, Kim J, Yang L, Sastry A, Seo SW, Palsson BO, Kim D. Model-driven experimental design workflow expands understanding of regulatory role of Nac in . Nar Genomics and Bioinformatics. 5: lqad006. PMID 36685725 DOI: 10.1093/nargab/lqad006 |
0.564 |
|
2023 |
Lee SM, Park HT, Park S, Lee JH, Kim D, Yoo HS, Kim D. A Machine Learning Approach Reveals a Microbiota Signature for Infection with Mycobacterium avium subsp. in Cattle. Microbiology Spectrum. e0313422. PMID 36656029 DOI: 10.1128/spectrum.03134-22 |
0.519 |
|
2022 |
Park HT, Lee SM, Ko S, Kim S, Park HE, Shin MK, Kim D, Yoo HS. Delineating transcriptional crosstalk between Mycobacterium avium subsp. paratuberculosis and human THP-1 cells at the early stage of infection via dual RNA-seq analysis. Veterinary Research. 53: 71. PMID 36100945 DOI: 10.1186/s13567-022-01089-y |
0.522 |
|
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