当前位置: X-MOL 学术Genome Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Opportunities and challenges in long-read sequencing data analysis
Genome Biology ( IF 10.1 ) Pub Date : 2020-02-07 , DOI: 10.1186/s13059-020-1935-5
Shanika L Amarasinghe 1, 2 , Shian Su 1, 2 , Xueyi Dong 1, 2 , Luke Zappia 3, 4 , Matthew E Ritchie 1, 2, 5 , Quentin Gouil 1, 2
Affiliation  

Long-read technologies are overcoming early limitations in accuracy and throughput, broadening their application domains in genomics. Dedicated analysis tools that take into account the characteristics of long-read data are thus required, but the fast pace of development of such tools can be overwhelming. To assist in the design and analysis of long-read sequencing projects, we review the current landscape of available tools and present an online interactive database, long-read-tools.org, to facilitate their browsing. We further focus on the principles of error correction, base modification detection, and long-read transcriptomics analysis and highlight the challenges that remain.

中文翻译:

长读长测序数据分析的机遇与挑战

长读长技术正在克服早期在准确性和通量方面的限制,扩大其在基因组学中的应用领域。因此,需要考虑长读取数据特征的专用分析工具,但此类工具的快速开发速度可能令人难以承受。为了协助长读长测序项目的设计和分析,我们回顾了可用工具的当前状况,并提供了一个在线交互式数据库 long-read-tools.org,以方便他们浏览。我们进一步关注纠错、碱基修饰检测和长读转录组学分析的原理,并强调仍然存在的挑战。
更新日期:2020-02-07
down
wechat
bug