Sequence analysis Informed kmer selection for de novo transcriptome assembly

Abstract

Motivation: De novo transcriptome assembly is an integral part for many RNA-seq workflows. Common applications include sequencing of non-model organisms, cancer or meta transcriptomes. Most de novo transcriptome assemblers use the de Bruijn graph (DBG) as the underlying data structure. The quality of the assemblies produced by such assemblers is highly… (More)

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Cite this paper

@inproceedings{Durai2016SequenceAI, title={Sequence analysis Informed kmer selection for de novo transcriptome assembly}, author={Dilip A. Durai and Marcel H. Schulz}, year={2016} }