A fast detection of fusion genes from paired-end RNA-seq data.

Trung Nghia VuWenjiang DengQuang Thinh TracStefano CalzaWoochang HwangYudi Pawitan

Published in: BMC genomics (2018)

With this advantage of less computational demands, FuSeq makes it practical to investigate fusion genes in large numbers of samples. FuSeq is implemented in C++ and R, and available at https://github.com/nghiavtr/FuSeq for non-commercial uses.

Keyphrases

rna seq
single cell
genome wide
bioinformatics analysis
genome wide identification
electronic health record
big data
loop mediated isothermal amplification
gene expression
dna methylation
artificial intelligence
transcription factor