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TraRECo: a greedy approach based de novo transcriptome assembler with read error correction using consensus matrix.

Seokhyun YoonDaeseung KimKeunsoo KangWoong June Park
Published in: BMC genomics (2018)
De novo assembly is mainly used to explore undiscovered isoforms and must be able to represent as many reads as possible in an efficient way. In this sense, TraRECo provides us with a potential alternative for improving graph reliability even though the computational burden is much higher than the single k-mer in the de Bruijn graph approach.
Keyphrases
  • convolutional neural network
  • neural network
  • rna seq
  • single cell
  • gene expression
  • genome wide
  • single molecule
  • clinical practice
  • human health
  • risk factors
  • risk assessment