Open AccessDetecting dispersed duplications in high-throughput sequencing data using a database-free approach
Author(s) -
Mark Kroon,
E.W. Lameijer,
Nico Lakenberg,
Jayne Y. HehirKwa,
Djie Tjwan Thung,
P. Eline Slagboom,
Joost N. Kok,
Kai Ye
Publication year - 2015
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/btv621
Subject(s) - computer science , transposable element , throughput , genome , dna sequencing , database , software , human genome , computational biology , data mining , biology , dna , genetics , gene , operating system , wireless
Dispersed duplications (DDs) such as transposon element insertions and copy number variations are ubiquitous in the human genome. They have attracted the interest of biologists as well as medical researchers due to their role in both evolution and disease. The efforts of discovering DDs in high-throughput sequencing data are currently dominated by database-oriented approaches that require pre-existing knowledge of the DD elements to be detected.
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