Designing small universal k-mer hitting sets for improved analysis of high-throughput sequencing.
With the rapidly increasing volume of deep sequencing data, more efficient algorithms and data structures are needed. Minimizers are a central recent paradigm that has improved various sequence analysis tasks, including hashing for faster read overlap detection, sparse suffix arrays for creating sma...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-10-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC5645146?pdf=render |