Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sangjin Go"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Hibiscus syriacus L. is a renowned ornamental plant. We constructed 95 chloroplast genomes of H. syriacus L. cultivars using a short-read sequencing platform (Illumina) and a long-read sequencing platform (Oxford Nanopore Technology). The fo
Externí odkaz:
https://doaj.org/article/577c3a84c37d465cbb78b072c22e6e87
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Improvements in long read DNA sequencing and related techniques facilitated the generation of complex eukaryotic genomes. Despite these advances, the quality of constructed plant reference genomes remains relatively poor due to the large siz
Externí odkaz:
https://doaj.org/article/b86a12a8c1aa4c278722e9a0d193e9fd
Autor:
Minah Jung, Jong Seob Song, Ah-Young Shin, Beomjo Choi, Sangjin Go, Suk-Yoon Kwon, Juhan Park, Sung Goo Park, Yong-Min Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Accurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experienc
Externí odkaz:
https://doaj.org/article/9d670c43c63b4fde9d4393574d15967d
Autor:
Minah Jung, Jong Seob Song, Seongmin Hong, SunWoo Kim, Sangjin Go, Yong Pyo Lim, Juhan Park, Sung Goo Park, Yong-Min Kim
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Efficient and accurate methods of analysis are needed for the huge amount of biological data that have accumulated in various research fields, including genomics, phenomics, and genetics. Artificial intelligence (AI)-based analysis is one promising m
Externí odkaz:
https://doaj.org/article/feeaf473d3a242f499db160d5e4a495e
Autor:
Minah Jung, Jong Seob Song, Ah-Young Shin, Beomjo Choi, Sangjin Go, Suk-Yoon Kwon, Juhan Park, Sung Goo Park, Yong-Min Kim
Accurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experiences in pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::806a46c552b1e74d2985b75111df09b5
https://doi.org/10.21203/rs.3.rs-1939712/v1
https://doi.org/10.21203/rs.3.rs-1939712/v1
