scholarly journals Diversity and dynamic succession of microorganisms during Daqu preparation for Luzhou- flavour liquor using second-generation sequencing technology

2018 ◽  
Vol 124 (4) ◽  
pp. 498-507 ◽  
Author(s):  
Jian-Gang Yang ◽  
Xiao Dou ◽  
Ying-Ying Ma
Keyword(s):  
Second Generation ◽  
Sequencing Technology ◽  
Generation Sequencing Technology ◽  
Second Generation Sequencing ◽  
Generation Sequencing

scholarly journals Exploring the Switchgrass Transcriptome Using Second-Generation Sequencing Technology

PLoS ONE ◽  
2012 ◽  
Vol 7 (3) ◽  
pp. e34225 ◽  
Author(s):  
Yixing Wang ◽  
Xin Zeng ◽  
Niranjani J. Iyer ◽  
Douglas W. Bryant ◽  
Todd C. Mockler ◽  
...  
Keyword(s):  
Second Generation ◽  
Sequencing Technology ◽  
Generation Sequencing Technology ◽  
Second Generation Sequencing ◽  
Generation Sequencing

scholarly journals Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Zhuo Liu ◽  
Gerui Zhang ◽  
Zhao Jingyuan ◽  
Liyan Yu ◽  
Junxiu Sheng ◽  
...  
Keyword(s):  
Big Data ◽  
Reinforcement Learning ◽  
Internet Of Things ◽  
Infectious Diseases ◽  
Second Generation ◽  
Lung Infection ◽  
Sequencing Technology ◽  
Generation Sequencing Technology ◽  
Second Generation Sequencing ◽  
Generation Sequencing

Recently, deep reinforcement learning, associated with medical big data generated and collected from medical Internet of Things, is prospective for computer-aided diagnosis and therapy. In this paper, we focus on the application value of the second-generation sequencing technology in the diagnosis and treatment of pulmonary infectious diseases with the aid of the deep reinforcement learning. Specifically, the rapid, comprehensive, and accurate identification of pathogens is a prerequisite for clinicians to choose timely and targeted treatment. Thus, in this work, we present representative deep reinforcement learning methods that are potential to identify pathogens for lung infection treatment. After that, current status of pathogenic diagnosis of pulmonary infectious diseases and their main characteristics are summarized. Furthermore, we analyze the common types of second-generation sequencing technology, which can be used to diagnose lung infection as well. Finally, we point out the challenges and possible future research directions in integrating deep reinforcement learning with second-generation sequencing technology to diagnose and treat lung infection, which is prospective to accelerate the evolution of smart healthcare with medical Internet of Things and big data.

A fusion method based on alignment software with SNP and Indel detection methods

2020 ◽  
Vol 23 ◽  
Author(s):  
Guobing Chen ◽  
Chao Tang ◽  
Jun Qi ◽  
Ying Wang ◽  
Xiaolong Shi
Keyword(s):  
Sequence Alignment ◽  
Experimental Verification ◽  
Sequence Variation ◽  
Second Generation ◽  
Detection Methods ◽  
Fusion Method ◽  
Sequencing Technology ◽  
Indel Detection ◽  
Second Generation Sequencing ◽  
Generation Sequencing

Background: With the advent of the second generation sequencing technology, the discovery of sequence alignment and sequence variation is a long-standing challenge. Results: A method based on general alignment software, SNP and Indel software tools was proposed in this paper. By comparing the advantages of traditional alignment software, we can produce the best alignment. SNP and Indel detection tools fusion research found that different depth of sequencing effect is different. When the sequence depth reaches a certain value, select one of the software for testing. Conclusions: Finally, the experimental verification shows that SNP and Indel have certain advantages in the comparison of the effects of the fusion method.

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