期刊
BIOINFORMATICS
卷 27, 期 19, 页码 2756-2757出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr451
关键词
-
类别
资金
- National Science Foundation [ER 0949453]
- Direct For Biological Sciences [0949453] Funding Source: National Science Foundation
- Emerging Frontiers [0949453] Funding Source: National Science Foundation
High-throughput DNA sequencing technologies have spurred the development of numerous novel methods for genome assembly. With few exceptions, these algorithms are heuristic and require one or more parameters to be manually set by the user. One approach to parameter tuning involves assembling data from an organism with an available high-quality reference genome, and measuring assembly accuracy using some metrics. We developed a system to measure assembly quality under several scoring metrics, and to compare assembly quality across a variety of assemblers, sequence data types, and parameter choices. When used in conjunction with training data such as a high-quality reference genome and sequence reads from the same organism, our program can be used to manually identify an optimal sequencing and assembly strategy for de novo sequencing of related organisms.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据