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: We describe a Multiplex Primer Prediction (MPP) algorithm to build multiplex compatible primer sets to amplify all members of large, diverse and unalignable sets of target sequences. The MPP algorithm is scalable to larger target sets than other available software, and it does not require a multiple sequence alignment. We applied it to questions in viral detection, and demonstrated that there are no universally conserved priming sequences among viruses and that it could require an unfeasibly large number of primers ($3700 18-mers or $2000 10-mers) to generate amplicons from all sequenced viruses. We then designed primer sets separately for each viral family, and for several diverse species such as foot-and-mouth disease virus (FMDV), hemagglutinin (HA) and neuraminidase (NA) segments of influenza A virus, Norwalk virus, and HIV-1. We empirically demonstrated the application of the software with a multiplex set of 16 short (10 nt) primers designed to amplify the Poxviridae family to produce a specific amplicon from vaccinia virus.
Example Output: Multiplex primer prediction software for divergent targets

Example Input: Background: With increasing international travel and historically high numbers of residents visiting friends and relatives overseas, travel-associated illnesses are frequent in Marseille, France. We report the changing epidemiology of travel-related illnesses over a 12-year period. Methods: A single site GeoSentinel surveillance analysis was undertaken for 3460 ill returned travellers presenting to two public hospitals in Marseille, France from March 2003 to October 2015, with travel-related illnesses. Demographic characteristics, travel history, presenting symptoms and information on pre-travel consultations were collected. Results: There was a predominance of travel to sub-Saharan Africa, in particular to Comoros archipelago. Tourism was the main reason for travel (1591/3460, 46%), followed by visiting friends or relatives (VFR) (895/3460, 26%), with a mean duration of 29 days; 35% (1212/3460) of travellers reported a pre-travel health consultation. The most common syndromic diagnoses were febrile systemic illness (1343, 39%), dermatologic (716, 21%), gastrointestinal (340, 10%) and respiratory/ear-nose-throat (331, ENT) (10%). Hospitalization rates were highest amongst travellers from sub-Saharan Africa (858/ 1632, 53%), and VFR (573/ 895, 64%, P < 0.001). Frequent diagnoses included malaria (797, 23%), dengue (96, 2.77%) and chikungunya (75, 2.17%), reflecting global trends. Comparison of two periods (2003-10 to 2011-15) demonstrated an increase in chikungunya and decrease in malaria and influenza-like illness. We report an increase in ill travellers from the Caribbean, Middle East and South-East Asia. Conclusion: Surveillance of travellers provides relevant sentinel information on the changing epidemiology of infectious diseases across the globe, most notably for malaria, dengue and chikungunya. We demonstrate the use of travel surveillance in improving pre-travel consultation needs and to address autochthonous vector-borne viral risks.
Example Output: Surveillance of travel-associated diseases at two referral centres in Marseille, France: a 12-year survey

Example Input: SARS-associated coronavirus (SCoV) M protein plays a key role in viral assembly and budding. Recent studies revealed that M protein could interact with N protein in the Golgi complex. In this study, we showed that SCoV M protein co-localized in the Golgi apparatus with a Golgi vector marker. To study M protein function, three candidate small interfering RNAs (siRNAs) corresponding to M gene sequences were designed, transcribed in vitro, and then tested for their ability to silence M protein expression. The plasmid, pEGFP-M, encoding SCoV M protein as a fusion protein with EGFP, was used for silencing and for reporter gene detection in HEK 293T cells transfected with siRNA constructs. The results showed that the mean green fluorescence intensity and M RNA transcripts were significantly reduced, and that the expression of M glycoprotein was strongly inhibited in those cells co-transfected with M-specific siRNAs. These findings demonstrated that the three M-specific siRNAs were able to specifically and effectively inhibit M glycoprotein expression in cultured cells by blocking the accumulation of mRNA, which provides an approach for studies on the functions of M protein and for the development of novel prophylactic or therapeutic agents for SCoV infection.
Example Output:
siRNAs targeting terminal sequences of the SARS-associated coronavirus membrane gene inhibit M protein expression through degradation of M mRNA