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2016 ; 17
(ä): 188
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ITD assembler: an algorithm for internal tandem duplication discovery from
short-read sequencing data
#MMPMID27121965
Rustagi N
; Hampton OA
; Li J
; Xi L
; Gibbs RA
; Plon SE
; Kimmel M
; Wheeler DA
BMC Bioinformatics
2016[Apr]; 17
(ä): 188
PMID27121965
show ga
BACKGROUND: Detection of tandem duplication within coding exons, referred to as
internal tandem duplication (ITD), remains challenging due to inefficiencies in
alignment of ITD-containing reads to the reference genome. There is a critical
need to develop efficient methods to recover these important mutational events.
RESULTS: In this paper we introduce ITD Assembler, a novel approach that rapidly
evaluates all unmapped and partially mapped reads from whole exome NGS data using
a De Bruijn graphs approach to select reads that harbor cycles of appropriate
length, followed by assembly using overlap-layout-consensus. We tested ITD
Assembler on The Cancer Genome Atlas AML dataset as a truth set. ITD Assembler
identified the highest percentage of reported FLT3-ITDs when compared to other
ITD detection algorithms, and discovered additional ITDs in FLT3, KIT, CEBPA, WT1
and other genes. Evidence of polymorphic ITDs in 54 genes were also found. Novel
ITDs were validated by analyzing the corresponding RNA sequencing data.
CONCLUSIONS: ITD Assembler is a very sensitive tool which can detect partial,
large and complex tandem duplications. This study highlights the need to more
effectively look for ITD's in other cancers and Mendelian diseases.