Abstract
This special issue of Algorithms is dedicated to approaches to biological sequence analysis that have algorithmic novelty and potential for fundamental impact in methods used for genome research.
Highlights
Analysis of high-throughput sequencing data has become a crucial component in genome research
Methods based on latest developments in compressed data structures, namely index structures exploiting Burrows-Wheeler transform, are widely deployed in the discovery of disease causing mutations
In response to the call for papers, ten articles were submitted to the special issue
Summary
Analysis of high-throughput sequencing data has become a crucial component in genome research. Methods based on latest developments in compressed data structures, namely index structures exploiting Burrows-Wheeler transform, are widely deployed in the discovery of disease causing mutations.
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