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Global research and development have witnessed new horizons in technological advancements, especially in the use of new-generation bioinformatic tools to solve human needs. Cervical cancer, caused by a sexually transmitted virus like human papillomavirus (HPV), is one of the most common cancers threatening women's health. The main aim of the study is to evaluate existing Next-generation pipelines for detection of HPV in cervical cancer. The method includes data retrieval, which involves careful selection and downloading of 30 metagenomic data (in FASTA-Q format) from the Human Microbiome Project database. The implementation phase of the study involved setting up and configuring the virus detection tools (HPViewer, VirusSeq and VirusFinder 2.0). All the tools were run on default settings to analyze the metagenome samples using the instructions provided by their authors. The result showed that the tools detected HPV. The HPViewer demonstrated a higher level of HPV detection, followed by VirusSeq and then VirusFinder 2. The HPViewer had the shortest run time, completing an analysis in 24.1 seconds, followed by VirusFinder 2 in 208 seconds and VirusSeq took 4200 seconds (1 hour, 10 minutes to run). HPViewer demonstrated an outstanding sensitivity of 100%, VirusFinder 2 (45.5 %) and VirusSeq (63.6%). In conclusion, the present study underscored the trade-offs between speed, accuracy, and resource consumption between bioinformatics tools for HPV detection. Each of the tools exhibited unique strengths and limitations; however, they provided valuable options for HPV detection.

Women with gynecological (GYN) cancer experience a wide spectrum of physical, emotional and social effects after diagnosis and treatment of their cancer. The insufficient availability of local support groups, limited transportation for the rural Chinese population and a shortage of oncologists make it difficult to have face-to-face support groups for Chinese GYN cancer patients. However, the wide access of Internet has provided an opportunity for people to have online support groups. The purpose of this study was to observe and describe the types of support given to and by Chinese GYN cancer survivors in a QQ chat group. This was a qualitative study that used the directed content analysis approach. A QQ group was observed for two weeks between March 10th (12:01am) and March 24st (11:59pm) 2018 Beijing time. Observed online posts were copied and pasted into a WORD ™ document for analysis. There were 4 themes observed: sharing experience, information exchange, emotional support and Guardian Against Cancer group member benefits. The results of the study suggested that women supported each other but little evidence-based support was observed. Healthcare providers should be monitoring and engaging in conversations with group members. Well-planed and organized information sessions should also be beneficial for members. Further research on understanding members’ needs on online support groups and the effectiveness of intervention should be conducted.

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