An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Frontiers in Bioinformatics - Computational Bioimaging
Publication status	Accepted/In press - 8 Dec 2022

Cite this

@article{b7293124328b4a47af49d50076ee26fb,

title = "An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data",

author = "Alfredo Iacoangeli and {Al Khleifat}, Ahmad",

year = "2022",

month = dec,

day = "8",

language = "English",

journal = "Frontiers in Bioinformatics - Computational Bioimaging",

}