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.

[EX Q]: The massive abundance of studies relating to tropical medicine and health has increased strikingly over the last few decades. In the field of tropical medicine and health, a well-conducted systematic review and meta-analysis (SR/MA) is considered a feasible solution for keeping clinicians abreast of current evidence-based medicine. Understanding of SR/MA steps is of paramount importance for its conduction. It is not easy to be done as there are obstacles that could face the researcher. To solve those hindrances, this methodology study aimed to provide a step-by-step approach mainly for beginners and junior researchers, in the field of tropical medicine and other health care fields, on how to properly conduct a SR/MA, in which all the steps here depicts our experience and expertise combined with the already well-known and accepted international guidance. We suggest that all steps of SR/MA should be done independently by 2-3 reviewers' discussion, to ensure data quality and accuracy. Conclusion: SR/MA steps include the development of research question, forming criteria, search strategy, searching databases, protocol registration, title, abstract, full-text screening, manual searching, extracting data, quality assessment, data checking, statistical analysis, double data checking, and manuscript writing.
[EX A]: A step by step guide for conducting a systematic review and meta-analysis with simulation data

[EX Q]: Genome structural annotation, i.e., identification and demarcation of the boundaries for all the functional elements in a genome (e.g., genes, non-coding RNAs, proteins and regulatory elements), is a prerequisite for systems level analysis. Current genome annotation programs do not identify all of the functional elements of the genome, especially small non-coding RNAs (sRNAs). Whole genome transcriptome analysis is a complementary method to identify ''novel'' genes, small RNAs, regulatory regions, and operon structures, thus improving the structural annotation in bacteria. In particular, the identification of non-coding RNAs has revealed their widespread occurrence and functional importance in gene regulation, stress and virulence. However, very little is known about non-coding transcripts in Histophilus somni, one of the causative agents of Bovine Respiratory Disease (BRD) as well as bovine infertility, abortion, septicemia, arthritis, myocarditis, and thrombotic meningoencephalitis. In this study, we report a single nucleotide resolution transcriptome map of H. somni strain 2336 using RNA-Seq method. The RNA-Seq based transcriptome map identified 94 sRNAs in the H. somni genome of which 82 sRNAs were never predicted or reported in earlier studies. We also identified 38 novel potential protein coding open reading frames that were absent in the current genome annotation. The transcriptome map allowed the identification of 278 operon (total 730 genes) structures in the genome. When compared with the genome sequence of a non-virulent strain 129Pt, a disproportionate number of sRNAs (,30%) were located in genomic region unique to strain 2336 (,18% of the total genome). This observation suggests that a number of the newly identified sRNAs in strain 2336 may be involved in strain-specific adaptations.
[EX A]: RNA-Seq Based Transcriptional Map of Bovine Respiratory Disease Pathogen ''Histophilus somni 2336

[EX Q]: The interferon (IFN) response is initiated by a variety of triggers, including viruses and foreign RNA, and involves several receptors and intracellular mediators. Although there are common cis-acting consensus sequences in the promoters of many genes stimulated during the IFN response, they exhibit core and context heterogeneity that may lead to differential transcriptional activity. We have developed and validated a live cell-based enhanced green fluorescent protein (EGFP) reporter system employing more than a hundred constructs containing multiple viruses and IFN response elements derived from a variety of promoters involved in immunity to viruses. Common and distinct response patterns were observed due to promoter heterogeneity in response to different stimuli, including IFN-␣, TLR3-agonist double-stranded RNA, and several viruses. This information should serve as a resource in selecting specific reporters for sensing nonself ligands.
[EX A]:
Green Fluorescent Protein Reporter System with Transcriptional Sequence Heterogeneity for Monitoring the Interferon Response ᰔ † ‡