In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

[Q]: Recently, AdvanSure™ kit based on multiplex real-time PCR was developed for simultaneous detection of 14 respiratory viruses (RVs). We compared the performance of AdvanSure with those of Seeplex® RV 15 ACE and culture by determining their sensitivities and specificities against a composite reference standard. Four hundred thirty-seven respiratory samples were tested by modified shell vial culture method, RV 15 ACE, and AdvanSure. One hundred fourteen samples (26.2%) out of 437 samples were positive by culture, while additional 91 (20.8%) were positive by AdvanSure or RV15. One hundred twelve of 114 culture-positive samples were positive by AdvanSure except 2 samples (1 adenovirus, 1 respiratory syncytial virus [RSV]). Overall, the sensitivities of culture, RV15, and AdvanSure were 74.5%, 89.8%, and 95.1%, respectively. Sensitivities of culture, RV15, and AdvanSure for each virus tested were as follows: 91/100/96% for influenza A, 60/0/100% for influenza B, 63/95/97% for RSV, 69/81/89% for adenovirus, and 87/93/93% for parainfluenza virus. For viruses not covered by culture, sensitivities of RV15 and AdvanSure were as follows: 77/88% for rhinovirus, 100/100% for coronavirus OC43, 40/100% for coronavirus 229E/NL63, 13/100% for metapneumovirus, and 44/100% for bocavirus. The overall specificities of culture, RV15, and AdvanSure were 100/98.9/ 99.5%, respectively. Of 45 coinfected specimens, AdvanSure detected 41 specimens (91.1%) as coinfected, while RV15 detected 27 specimens (60.0%) as coinfected. AdvanSure assay demonstrated exquisite performance for the detection of RVs and will be a valuable tool for the management of RV infection.
[A]: Evaluation of the AdvanSure™ real-time RT-PCR compared with culture and Seeplex RV15 for simultaneous detection of respiratory viruses ☆


[Q]: Background: Clinical diagnosis of Japanese encephalitis is usually difficult due to non-specific signs at the early and acute stages of the infection. Virus isolation from peripheral blood is also not possible because of the short period and low level of transient viremia even in the acute stage of the disease. It is thus urgent to develop a feasible and convenient method for laboratory diagnosis of the infection. Objectives: To establish a newly designed molecular approach that can be used to detect intracellular Japanese encephalitis viral RNA in host cells. Study design: The method was firstly established and then was carried out to test its efficacy in cultured BHK-21 cells, subsequently in peripheral blood mononuclear cells (PBMCs) isolated from mice that have been inoculated with JE virus suspension. Results: In this study, in situ reverse-transcription loop-mediated isothermal amplification (in situ RT-LAMP) was established; which combines merits of recently developed loop-mediated isothermal amplification (LAMP) and in situ reverse-transcriptase polymerase chain reaction (in situ RT-PCR). Conclusions: The newly designed method can detect viral RNAs in peripheral blood mononuclear cells (PBMCs) in a short time with high sensitivity and efficiency. (W.-J. Chen). a These authors contributed equally to this study.
[A]: In situ reverse-transcription loop-mediated isothermal amplification (in situ RT-LAMP) for detection of Japanese encephalitis viral RNA in host cells


[Q]: Background: Emerging viral diseases, most of which are caused by the transmission of viruses from animals to humans, pose a threat to public health. Discovering pathogenic viruses through surveillance is the key to preparedness for this potential threat. Next generation sequencing (NGS) helps us to identify viruses without the design of a specific PCR primer. The major task in NGS data analysis is taxonomic identification for vast numbers of sequences. However, taxonomic identification via a BLAST search against all the known sequences is a computational bottleneck. Description: Here we propose an enhanced lowest-common-ancestor based method (ELM) to effectively identify viruses from massive sequence data. To reduce the computational cost, ELM uses a customized database composed only of viral sequences for the BLAST search. At the same time, ELM adopts a novel criterion to suppress the rise in false positive assignments caused by the small database. As a result, identification by ELM is more than 1,000 times faster than the conventional methods without loss of accuracy. Conclusions: We anticipate that ELM will contribute to direct diagnosis of viral infections. The web server and the customized viral database are freely available at http://bioinformatics.czc.hokudai.ac.jp/ELM/.
[A]:
ELM: enhanced lowest common ancestor based method for detecting a pathogenic virus from a large sequence dataset