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.

Example Input: Ten years after the severe acute respiratory syndrome epidemic, a second coronavirus, the Middle East respiratory syndrome coronavirus (MERS-CoV), has been identified as the cause of a highly lethal pneumonia in patients in the Middle East and in travelers from this region. Over the past 9 months, since the virus was first isolated, much has been learned about the biology of the virus. It is now clear that MERS-CoV is transmissible from person to person, and its close relationship with several bat coronaviruses suggests that these animals may be the ultimate source of the infection. However, many key issues need to be addressed, including identification of the proximate, presumably zoonotic, source of the infection, the prevalence of the infection in human populations, details regarding clinical and pathological features of the human infection, the establishment of a small rodent model for the infection, and the virological and immune basis for the severe disease observed in most patients. Most importantly, we do not know whether a MERS-CoV epidemic is likely or not. Infection with the virus has so far resulted in only 91 cases and 46 deaths (as of 29 July 2013), but it is nonetheless setting off alarm bells among public health officials, including Margaret Chan, Director-General of the World Health Organization, who called MERS-CoV "a threat to the entire world." This article reviews some of the progress that has been made and discusses some of the questions that need to be answered. Citation Perlman S. 2013. The Middle East respiratory syndrome-how worried should we be? mBio 4(4):e00531-13.
Example Output: The Middle East Respiratory Syndrome-How Worried Should We Be? A NOVEL VIRUS IS IDENTIFIED IN SAUDI ARABIA

Example Input: We investigated the sensitivity of human rotavirus rapid antigen detection (RAD) kits, RT-PCR and next-generation DNA sequencing (NGS) for detection of bovine group A rotavirus (RVA). The Dipstick 'Eiken' Rota (Dipstick) showed the highest sensitivity out of the seven RAD kits against all selected strains in limited dilution analyses, which was consistent with the results for equine rotavirus previously reported. RT-PCR had 10 0 -10 3 -fold higher sensitivity than the Dipstick. NGS using thirteen RT-PCR-negative fecal samples revealed that all samples yielded RVA reads and especially that two of them covered all 11 genome segments. Moreover, mapping reads to reference sequences allowed genotyping. The NGS would be sensitive and useful for analysis of less dependent on specific primers and screening of genotypes.
Example Output: Yukie KATAYAMA 2) , Mami OBA 2) , Naomi NISHIURA 2) , Yukiko SASSA 2) , Tsutomu OMATSU 2) , Tetsuya FURUYA 2,4) , Satoshi KOYAMA 5)

Example Input: To test the methodology presented in our paper, we performed various sequence clusterings using different datasets previously tested in the literature (Hoang et al., 2015) . These include five genome datasets, i.e. mammal mitochondrion, influenza A virus, human rhinovirus, coronavirus and bacteria. Clustering results are shown below. In the case of 31 mammal mitochondrial genomes (dataset A), a K7 clustering resulted in the classification of mammal families C1 Ursidae, C2 Bovidae and Cetacean, C3 Cercopithecidae, C4 Hominidae, C6 Canidae and C7 Felidae. Cluster 5 contains the Rodentia and Lagomorpha with the Erinaceidae outgroup. This is the result of the early divergence between carnivores, which breaks them in the three tight families, leaving one cluster for the three furthest groups.
Example Output:
Supplementary file of Mendizabal-Ruiz, et al. Genetic Signal Processing for DNA Sequence Clustering