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IsoTree: A New Framework for De novo Transcriptome Assembly from RNA-seq Reads
2018
IEEE/ACM Transactions on Computational Biology & Bioinformatics
High-throughput sequencing of mRNA has made the deep and efficient probing of transcriptome more affordable. However, the vast amounts of short RNA-seq reads make de novo transcriptome assembly an algorithmic challenge. In this work, we present IsoTree, a novel framework for transcripts reconstruction in the absence of reference genomes. Unlike most of de novo assembly methods that build de Bruijn graph or splicing graph by connecting k-mers which are sets of overlapping substrings generated
doi:10.1109/tcbb.2018.2808350
pmid:29994455
fatcat:x6bsq7rkavftrlztlwg5ucqwiu