[16S rRNA gene sequencing for pathogen identification from clinical specimens].

  title={[16S rRNA gene sequencing for pathogen identification from clinical specimens].},
  author={Xin-xin Lu and Wei Wu and Mei Wang and Yan-fei Huang},
  journal={Zhonghua yi xue za zhi},
  volume={88 2},
OBJECTIVE To investigate the key point technique with 16S rRNA gene sequence for identifying the pathogens in clinical specimens, and to evaluate the feasibility and practicability as a routine tool for determining pathogens in clinical laboratory. METHODS 117 clinical specimens from different sources underwent morphological examination, bacterium culture, and 16S rRNA gene PCR and sequencing. Two parts of 16S rRNA gene (BSF8-BSR534 and BAK11w-BAK2) were amplified by PCR, the products of PCR… 
A Revamp Approach for Training of HMM to Accelerate Classification of 16S rRNA Gene Sequences
This paper explains the description of the algorithms used for implementing three phases of HMM to classify sequences into clusters that have known similar functional properties and presents a computational method for classification of highly conserved 16S rRNA biological sequences.
Advances in pleural infection and malignancy
Some of the most recent literature informing current practice in pleural infection and malignancy is summarized, with focus on reducing time to diagnosis, definitive management of malignant pleural effusion and achieving these with the minimum number of pleural interventions.
Transactions on Computational Science XXXIII
A novel Delta Diagram synthesis for the IoT is proposed to accurately capture both the high heterogeneity of the IoT and the impact of the Internet as part of the network architecture and can achieve a global communication optimum and outperforms existing layered solutions.
CRISPR/Cas12a-assisted rapid identification of key beer spoilage bacteria