Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification

It is becoming increasingly impractical to indefinitely store raw sequencing data for later processing in an uncompressed state. In this paper, we describe a scalable compressive framework, Read-Quality-Sparsifier (RQS), which substantially outperforms the compression ratio and speed of other de nov...

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Bibliographic Details
Main Authors: Berger Leighton, Bonnie (Contributor), Yu, Yun William (Contributor), Yorukoglu, Deniz (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Springer Nature, 2018-06-14T14:38:29Z.
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