Search Results - "Kim, Younggwang"

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  1. 1

    Sequence-specific prediction of the efficiencies of adenine and cytosine base editors by Song, Myungjae, Kim, Hui Kwon, Lee, Sungtae, Kim, Younggwang, Seo, Sang-Yeon, Park, Jinman, Choi, Jae Woo, Jang, Hyewon, Shin, Jeong Hong, Min, Seonwoo, Quan, Zhejiu, Kim, Ji Hun, Kang, Hoon Chul, Yoon, Sungroh, Kim, Hyongbum Henry

    Published in Nature biotechnology (01-09-2020)
    “…Base editors, including adenine base editors (ABEs) 1 and cytosine base editors (CBEs) 2 , 3 , are widely used to induce point mutations. However, determining…”
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  2. 2

    High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells by Kim, Hui Kwon, Lee, Sungtae, Kim, Younggwang, Park, Jinman, Min, Seonwoo, Choi, Jae Woo, Huang, Tony P., Yoon, Sungroh, Liu, David R., Kim, Hyongbum Henry

    Published in Nature biomedical engineering (01-01-2020)
    “…The applications of clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing can be limited by a lack of compatible protospacer…”
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  3. 3

    Near surface oxidation of elemental mercury leads to mercury exposure in the Arctic Ocean biota by Lim, Seung Hyeon, Kim, Younggwang, Motta, Laura C., Yang, Eun Jin, Rhee, Tae Siek, Hong, Jong Kuk, Han, Seunghee, Kwon, Sae Yun

    Published in Nature communications (31-08-2024)
    “…Atmospheric mercury (Hg(0), Hg(II)) and riverine exported Hg (Hg(II)) are proposed as important Hg sources to the Arctic Ocean. As plankton cannot passively…”
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  4. 4

    Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery by Kang, Yeseong, Nam, Jinwoo, Kim, Younggwang, Lee, Seongtae, Seong, Deokgyeong, Jang, Sihyeong, Ryu, Chanseok

    Published in Remote sensing (Basel, Switzerland) (01-04-2021)
    “…Unmanned aerial vehicle-based multispectral imagery including five spectral bands (blue, green, red, red-edge, and near-infrared) for a rice field in the…”
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  5. 5

    Effects of different levels of organic chromium and selenomethionine cocktails in broilers by An, Jaewoo, Kim, Younggwang, Song, Minho, Choi, Jungseok, Oh, Hanjin, Chang, Seyeon, Song, Dongcheol, Cho, Hyunah, Park, Sehyun, Jeon, Kyeongho, Park, Yunhwan, Park, Gyutae, Oh, Sehyuk, Kim, Yuna, Choi, Nayoung, Kim, Jongchun, Kim, Hyeunbum, Cho, Jinho

    Published in Journal of animal science and technology (01-11-2023)
    “…Selenium (Se) is an essential trace mineral that plays an important role in physiological processes by regulating the antioxidant defense system and enhancing…”
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  6. 6

    Effects of silicate derived from quartz porphyry supplementation in the health of weaning to growing pigs after lipopolysaccharide challenge by Lee, Jihwan, Song, Minho, Yun, Won, Liu, Shudong, Oh, Hanjin, An, Jiseon, Kim, Younggwang, Lee, Changgyu, Kim, Hyeunbum, Cho, Jinho

    Published in Journal of Applied Animal Research (01-01-2020)
    “…The objective of this study was to investigate effects of silicate (SIL) supplementation on growth performance, nutrient digestibility, organ weight, immune…”
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  7. 7

    Saturation profiling of drug-resistant genetic variants using prime editing by Kim, Younggwang, Oh, Hyeong-Cheol, Lee, Seungho, Kim, Hyongbum Henry

    Published in Nature biotechnology (12-11-2024)
    “…Methods to characterize the functional effects of genetic variants of uncertain significance (VUSs) have been limited by incomplete coverage of the mutational…”
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  8. 8

    High-throughput functional evaluation of human cancer-associated mutations using base editors by Kim, Younggwang, Lee, Seungho, Cho, Soohyuk, Park, Jinman, Chae, Dongwoo, Park, Taeyoung, Minna, John D., Kim, Hyongbum Henry

    Published in Nature biotechnology (01-06-2022)
    “…Comprehensive phenotypic characterization of the many mutations found in cancer tissues is one of the biggest challenges in cancer genomics. In this study, we…”
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  9. 9

    SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance by Kim, Hui Kwon, Kim, Younggwang, Lee, Sungtae, Min, Seonwoo, Bae, Jung Yoon, Choi, Jae Woo, Park, Jinman, Jung, Dongmin, Yoon, Sungroh, Kim, Hyongbum Henry

    Published in Science advances (01-11-2019)
    “…We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA-encoding…”
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  10. 10

    Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity by Kim, Hui Kwon, Min, Seonwoo, Song, Myungjae, Jung, Soobin, Choi, Jae Woo, Kim, Younggwang, Lee, Sangeun, Yoon, Sungroh, Kim, Hyongbum (Henry)

    Published in Nature biotechnology (01-03-2018)
    “…Using deep learning to combine target sequence and chromatin accessibility data boosts the accuracy of CRISPR–Cpf1 guide RNA activity We present two algorithms…”
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  11. 11

    Cognitive and Neuroanatomical Correlates in Early Versus Late Onset Parkinson's Disease Dementia by Kim, Younggwang, Lee, Dongkyun, Cho, Kyoo Ho, Lee, Jae Jung, Ham, Jee Hyun, Ye, Byoung Seok, Lee, Seung-Koo, Lee, Jong-Min, Sohn, Young H, Lee, Phil Hyu

    Published in Journal of Alzheimer's disease (01-01-2017)
    “…Aging is the most important risk factor of development of dementia in Parkinson's disease (PD), but there are no data on clinical and radiological…”
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