Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Zhi-Xiang Lu"'
Autor:
Jason Qian, Sarah A. Boswell, Christopher Chidley, Zhi-xiang Lu, Mary E. Pettit, Benjamin L. Gaudio, Jesse M. Fajnzylber, Ryan T. Ingram, Rebecca H. Ward, Jonathan Z. Li, Michael Springer
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Current state-of-the-art diagnostics for infectious diseases are sensitive but require extensive equipment. Here the authors develop an enhanced recombinase polymerase amplification reaction for SARS-CoV-2 that allows for inexpensive and rapid testin
Externí odkaz:
https://doaj.org/article/1fea287ae7e64a1da7dfd8eee7f11721
Autor:
Zhi-xiang LU, Guang-ping TU, Ting ZHANG, Ya-qian LI, Xin-hua WANG, Quan-guo ZHANG, Wei SONG, Jie CHEN
Publikováno v:
Journal of Integrative Agriculture, Vol 19, Iss 1, Pp 145-152 (2020)
Maize is one of the major crops in China, but maize stalk rot occurs nationwide and has become one of the major challenges in maize production in China. In order to find an environment-friendly and feasible technology to control this disease, a Trich
Externí odkaz:
https://doaj.org/article/ee2d140e90f24990951d22f22fa3e04a
Autor:
Yi Xing, Michael D. Henry, Collin J. Tokheim, Lan Lin, Shihao Shen, Juw Won Park, Qin Huang, Zhi-xiang Lu
Table S1. Primer sequences used in this study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::319a714198272271fd1f3ff16544d93c
https://doi.org/10.1158/1541-7786.22513690.v1
https://doi.org/10.1158/1541-7786.22513690.v1
Autor:
Yi Xing, Michael D. Henry, Collin J. Tokheim, Lan Lin, Shihao Shen, Juw Won Park, Qin Huang, Zhi-xiang Lu
Figure S1. The effects of EMT-relevant transcription factors on NOVA1 protein expression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e457f96647d31d6a3a60ce2ec7cb16
https://doi.org/10.1158/1541-7786.22513693.v1
https://doi.org/10.1158/1541-7786.22513693.v1
Publikováno v:
NAR Genomics and Bioinformatics. 5
Nucleic acid fragment analysis via separation and detection are routine operations in molecular biology. However, analysis of small single-stranded nucleic acid fragments (
Autor:
Zhi-Xiang Lu, Longjie Wang, Qiufeng Wang, Shaoxiong Yang, Qian Zhou, Hong-Chuan Fan, Xin Chen, Liyan Zheng, Qiue Cao
Publikováno v:
Inorganic Chemistry. 60:18870-18878
Photochromic materials are constructed with molecules accompanied by structural change after triggering by light, which are of great importance and necessity for various applications. However, because of space-confinement effects, molecule stacking o
Autor:
Jason Qian, Lorena Lyon, Zhi-xiang Lu, Han-Ying Jhuang, Kole Sedlack, Pamela A. Silver, Michael H. Baym, Fernando H. Ramírez-Guadiana, Michael Springer, Lior Artzi, David Z. Rudner, Mohammad Arammash, Rocío del Carmen Barajas-Ornelas, Sarah A. Boswell, Christopher P. Mancuso, Victoria Jones, Michael Melfi, Ahmad S. Khalil, Akhila Sonti, Siân V. Owen, Mary E. Pettit, Giyoung Jung
Publikováno v:
Science. 368:1135-1140
DNA barcodes in small packages Under adverse environmental conditions, some microorganisms form spores that provide robust protection for genetic material. Qian et al. developed a system in which DNA barcodes are encapsulated inside nongerminating mi
Autor:
Jie Chen, Ya-qian Li, Ting Zhang, Quan-guo Zhang, Zhi-xiang Lu, Xin-hua Wang, Guang-ping Tu, Wei Song
Publikováno v:
Journal of Integrative Agriculture, Vol 19, Iss 1, Pp 145-152 (2020)
Maize is one of the major crops in China, but maize stalk rot occurs nationwide and has become one of the major challenges in maize production in China. In order to find an environment-friendly and feasible technology to control this disease, a Trich
Publikováno v:
Anal Chem
Quantitative diagnostics that are rapid, inexpensive, sensitive, robust, and field-deployable are needed to contain the spread of infectious diseases and inform treatment strategies. While current gold-standard techniques are highly sensitive and qua
Publikováno v:
2020 International Conference on Intelligent Computing, Automation and Systems (ICICAS).
With the increasing development of metro transportation in cities, the accurate prediction of station traffic poses a challenge for data mining and analysis. Machine learning has been gradually applied to various traffic prediction due to its low com