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Algorithms 2014, 7(1), 186-187; doi:10.3390/a7010186

Editorial: Special Issue on Algorithms for Sequence Analysis and Storage

Helsinki Institute for Information Technology HIIT, Department of Computer Science, P. O. Box 68 (Gustaf Hällströmin katu 2b), University of Helsinki, Helsinki 00014, Finland
Received: 14 March 2014 / Revised: 19 March 2014 / Accepted: 19 March 2014 / Published: 25 March 2014
(This article belongs to the Special Issue Algorithms for Sequence Analysis and Storage)
View Full-Text   |   Download PDF [71 KB, uploaded 25 March 2014]

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. View Full-Text
Keywords: high-throughput sequencing; compressed index structures; pattern discovery; population simulation; dynamic programming high-throughput sequencing; compressed index structures; pattern discovery; population simulation; dynamic programming
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Mäkinen, V. Editorial: Special Issue on Algorithms for Sequence Analysis and Storage. Algorithms 2014, 7, 186-187.

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