The Impacts of Read Length and Transcriptome Complexity for De Novo Assembly: A Simulation Study

@inproceedings{Chang2014TheIO,
  title={The Impacts of Read Length and Transcriptome Complexity for De Novo Assembly: A Simulation Study},
  author={Zheng Chang and Zhenjia Wang and Guojun Li},
  booktitle={PloS one},
  year={2014}
}
Transcriptome assembly using RNA-seq data - particularly in non-model organisms has been dramatically improved, but only recently have the pre-assembly procedures, such as sequencing depth and error correction, been studied. Increasing read length is viewed as a crucial condition to further improve transcriptome assembly, but it is unknown whether the read length really matters. In addition, though many assembly tools are available now, it is unclear whether the existing assemblers perform well… CONTINUE READING
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