rMETL: sensitive mobile element insertion detection with long read realignment
Author(s) -
Tao Jiang,
Liu Bo,
Junyi Li,
Yadong Wang
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz106
Subject(s) - benchmarking , computer science , element (criminal law) , quality (philosophy) , mobile genetic elements , mobile device , data mining , real time computing , operating system , biology , genetics , marketing , genome , political science , law , business , philosophy , epistemology , gene
Mobile element insertion (MEI) is a major category of structure variations (SVs). The rapid development of long read sequencing technologies provides the opportunity to detect MEIs sensitively. However, the signals of MEI implied by noisy long reads are highly complex due to the repetitiveness of mobile elements as well as the high sequencing error rates. Herein, we propose the Realignment-based Mobile Element insertion detection Tool for Long read (rMETL). Benchmarking results of simulated and real datasets demonstrate that rMETL enables to handle the complex signals to discover MEIs sensitively. It is suited to produce high-quality MEI callsets in many genomics studies.
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