Fusion transcripts and their genomic breakpoints in polyadenylated and ribosomal RNA-minus RNA sequencing data.

Youri Hoogstrate Malgorzata A Komor René Böttcher Job van Riet Harmen J G van de WerkenStef van LieshoutRalf HoffmannEvert van den BroekAnne S BolijnNatasja DitsDaoud SieDavid van der MeerFloor PepersChris H Bangma G J L H Geert van Leenders Marcel Smid Pim J FrenchJohn W M MartensWilbert van WorkumPeter J van der SpekBart JanssenEric CaldenhovenChristian RauschMark de JongAndrew P StubbsGerrit A MeijerRemond J A Fijneman Guido W Jenster

Published in: GigaScience (2022)

By using the full potential of non-poly(A)-enriched RNA-seq data, sophisticated analysis can reliably identify expressed genomic breakpoints and their transcriptional effects.

Keyphrases

rna seq
single cell
electronic health record
big data
copy number
transcription factor
machine learning
data analysis
oxidative stress
artificial intelligence
genome wide
human health
deep learning