<p>Boosting alignment accuracy through adaptive local realignment</p>

Dan DeBlasio; Kececioglu John

doi:10.7490/f1000research.1112672.1

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DeBlasio D and John K. Boosting alignment accuracy through adaptive local realignment [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):1784 (slides) (https://doi.org/10.7490/f1000research.1112672.1)

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Boosting alignment accuracy through adaptive local realignment

Dan DeBlasio¹, Kececioglu John

Published 21 Jul 2016 (https://doi.org/10.7490/f1000research.1112672.1)

Author Affiliations

¹ University of Arizona, USA

Copyright © 2016 DeBlasio D and John K. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 21 Jul 2016

Boosting alignment accuracy through adaptive local realignment
[version 1; not peer reviewed]

Dan DeBlasio¹, Kececioglu John

Author Affiliations

¹ University of Arizona, USA

Presented at

International Conference on Intelligent Systems for Molecular Biology (ISMB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Protein multiple sequence alignment, mutation rate, parameter advising, machine learning, vertical realignment

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