Standardizing Next-Generation Sequencing Experiments and Analysis Methods

[摘要] To the Editor:The past few years have seen the emergence of new strategies for high-throughput DNA sequencing that have invigorated life science research. Because of these technological advances, the available sequencing data continue to expand. Additionally, cost reductions have made access to sequences of entire genomes easier for established laboratories and even easier for small research groups. A lack of consensus exists, however, on how best to design and analyze next-generation sequencing (NGS) studies and how to compare these data to previous and future work. Comparing different sequencing platforms and analysis methods, and thus their interpretations, is becoming more complicated. The main purpose of such studies is somehow getting lost in the process of experimental design as biologists confront new territory with NGS work, which requires handling more complex and powerful statistical methods and produces large data sets. Every new tool or method is being compared with existing methods, and investigators are using statistical arguments to propose that the new methods are better. Kiezun et al. (1) have recently …

[学科分类] 过敏症与临床免疫学