摘要
间隙(gap)填充方法有助于获取更加完整和准确的基因组序列,可以促进基因表达与调控、结构变异分析和物种进化的研究。虽然已有较多填充gap的方法被提出,但是填充的准确性和完整性仍有待提高。设计一种基于长读数和多序列比对的gap填充方法GapLM。将包含gap的序列集合切割成不含gap的序列集合,基于长读数和序列之间比对位置的差异对结果进行修正。通过分析比对确定覆盖每个gap区域的左侧、右侧和跨过3个序列集合。针对1个gap和其相关联的3个序列集合,采用多序列比对方法分别对3个集合中的序列进行处理和融合,并生成一致序列对gap区域进行填充。将GapLM与GMcloser、PBjelly、LR_Gapcloser 3种填充方法在2个真实数据集上进行比较,实验结果表明,GapLM具有更加完整和准确的填充结果。
Gap filling methods are helpful for obtaining more complete and accurate genome sequence,and thus assist in many studies on gene expression and regulation,structural variation analysis,and species evolution.Still,the accuracy and completeness of gap filling results of the existing methods need to be improved.In this paper,a gap filling method named GapLM is proposed based on long reads and multiple sequence alignment.This method splits the gap-containing sequence set into a gap-free sequence set.Then based on the difference between the aligning results of the long read and the contig,the aligning results are corrected.Through comparison and analysis,the left sequence set,the right sequence set and the spanning sequence set of each gap region are determined.For a gap and its associated three sequence sets,a multiple sequence alignment method is used to process and fuse the sequences in the three sets,and a consistent sequence is generated to fill the gap region.This method is tested on two real datasets in comparison with GMcloser,PBjelly,LR_Gapcloser.The experimental results show that this method produces more continuous and accurate filling results.
作者
毋东
魏亚伟
罗军伟
敖山
WU Dong;WEI Yawei;LUO Junwei;AO Shan(School of Computer Science and Technology,Henan Polytechnic University,Jiaozuo,Henan 454000,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2021年第11期93-99,107,共8页
Computer Engineering
基金
国家自然科学基金面上项目(61972134)
国家自然科学基金青年科学基金项目(61602156)。
关键词
gap填充
序列组装
第三代测序技术
多序列比对
长读数
gap filling
sequence assembly
third generation sequence technology
multiple sequences alignment
long reads