High-throughput, one-step screening, cloning and expression based on the lethality of DpnI in Escherichia coli

2018 ◽  
Vol 504 (1) ◽  
pp. 177-183
Author(s):  
Peijie Wu ◽  
Xiaoyan Li ◽  
Maocheng Yang ◽  
Zhengzhi Huang ◽  
Hongya Mo ◽  
...  
2002 ◽  
Vol 2 (1) ◽  
pp. 227-228 ◽  
Author(s):  
R. Yatsunami ◽  
Y. Sakihama ◽  
M. Suzuki ◽  
T. Fukazawa ◽  
S. Shimizu ◽  
...  

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xue Lin ◽  
Yingying Hua ◽  
Shuanglin Gu ◽  
Li Lv ◽  
Xingyu Li ◽  
...  

Abstract Background Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutations “violent storm”, which is just what the Greek word “kataegis” means. Results There are needs for a light-weighted and simple-to-use toolkit to identify and visualize the localized hypermutation regions in genome. Thus we developed the R package “kataegis” to meet these needs. The package used only three steps to identify the genomic hypermutation regions, i.e., i) read in the variation files in standard formats; ii) calculate the inter-mutational distances; iii) identify the hypermutation regions with appropriate parameters, and finally one step to visualize the nucleotide contents and spectra of both the foci and flanking regions, and the genomic landscape of these regions. Conclusions The kataegis package is available on Bionconductor/Github (https://github.com/flosalbizziae/kataegis), which provides a light-weighted and simple-to-use toolkit for quickly identifying and visualizing the genomic hypermuation regions.


PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208520 ◽  
Author(s):  
Wanderson Marques Da Silva ◽  
Jinlong Bei ◽  
Natalia Amigo ◽  
María Pía Valacco ◽  
Ariel Amadio ◽  
...  

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