The reduced costs of DNA sequencing and the use of such data for HIV‐1 clinical management and phylogenetic analysis have led to a massive increase of HIV‐1 sequences in the last few years. Phylogenetic analysis has shed light on the origin, spread and characteristics of HIV‐1 epidemics and outbreaks. Phylogenetic analysis is now also being used to advance our knowledge of the drivers of HIV‐1 transmission in order to design effective interventions. However, HIV phylogenetic analysis presents unique ethical challenges, which have not been fully explored. This review presents an analysis of what appear to be key ethical issues in HIV phylogenetics in the hope of stimulating further conceptual and empirical work in this rapidly emerging area. We structure the review using the Emanuel Framework, a systematic, holistic framework, which has been adapted for use in developing countries, which bear the brunt of the HIV‐1 pandemic. 相似文献
Introduction: Cancer is often diagnosed at late stages when the chance of cure is relatively low and although research initiatives in oncology discover many potential cancer biomarkers, few transition to clinical applications. This review addresses the current landscape of cancer biomarker discovery and translation with a focus on proteomics and beyond.
Areas covered: The review examines proteomic and genomic techniques for cancer biomarker detection and outlines advantages and challenges of integrating multiple omics approaches to achieve optimal sensitivity and address tumor heterogeneity. This discussion is based on a systematic literature review and direct participation in translational studies.
Expert commentary: Identifying aggressive cancers early on requires improved sensitivity and implementation of biomarkers representative of tumor heterogeneity. During the last decade of genomic and proteomic research, significant advancements have been made in next generation sequencing and mass spectrometry techniques. This in turn has led to a dramatic increase in identification of potential genomic and proteomic cancer biomarkers. However, limited successes have been shown with translation of these discoveries into clinical practice. We believe that the integration of these omics approaches is the most promising molecular tool for comprehensive cancer evaluation, early detection and transition to Precision Medicine in oncology. 相似文献
The emergence of increasingly complex data in industrial ecology (IE) has caused scholarly interest in interactive visualization (IV). IV allows users to interact with data, aiding in processing and interpreting complex datasets, processes, and simulations. Consequently, IV can help IE practitioners communicate the complexities of their methods and results, shed light on the underlying research assumptions, and enable more transparent monitoring of data quality and error. This can significantly increase the reach and impact of research, promote transparency, reproducibility, and open science, as well as improve the clarity and presentation of IE research. A review of current IV applications reveals that, while data exploration has received some attention among IE practitioners, IV applications in scientific communication are clearly lacking. With the help of a working example, we explore the value of IV, discuss its operationalization, and highlight challenges that the IE community must face during IV uptake. Such challenges include technical and knowledge limitations, limits on user interaction, and implementation strategies. With these challenges in mind, we outline key aspects needed to lift the IE field to the forefront of scientific communication in the coming years. Among these, we draft the basic principles of a “Hub for Interactive Visualization in Industrial Ecology” (HIVE), a point of encounter where IE practitioners could find an array of data visualization tools that are geared toward IE datasets. IV is here to stay, and its inceptive stage presents many opportunities to IE practitioners to shape its operationalization and benefit from early adoption. 相似文献
基于CNKI数据库和Web of Science数据库,利用网页检索功能分析了生态宜居研究的年发文量、基金资助机构及国家地区分布、研究方向及研究机构状况;利用Citespace对2002—2017年生态宜居研究关键词进行共现性和可视化图谱聚类分析。结果表明:近年生态宜居研究逐渐成为人们关注的热点,但该方面研究获得国家及相关部门基金资助的比例仍然较小;当前生态宜居研究主要集中在宏观经济管理与可持续发展学科,研究机构排名中,天津地区相关机构发文量相对较多。就目前研究来看,研究热点集中于新型城镇化、城镇化、指标体系、生态宜居度、生态文明等。在未来的研究发展趋势方面,新型城镇化和生态宜居标准的制定仍然是重要的研究领域,必须在此持续发力,为生态宜居建设提供必要的理论支撑和政策依据。 相似文献