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Computational Synteny Block: A Framework to Identify Evolutionary Events
The identification and accurate description of large genomic rearrangements is crucial for the study of Evolutionary Events among species and implicitly defining breakpoints. Although there is a number of software tools available to perform this task, they usually either a) require a collection of p...
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Published in: | IEEE transactions on nanobioscience 2016-06, Vol.15 (4), p.343 |
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Main Authors: | , |
Format: | Magazinearticle |
Language: | English |
Online Access: | Get full text |
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Summary: | The identification and accurate description of large genomic rearrangements is crucial for the study of Evolutionary Events among species and implicitly defining breakpoints. Although there is a number of software tools available to perform this task, they usually either a) require a collection of pre-computed non-conflicting High-scoring Segment Pairs (HSPs) and gene annotations; or b) involve working at protein level (what excludes non-coding regions) ; or c) need many parameters to adjust the software behaviour and performance; or d) imply working with duplications, repeats and tandem repeats, which complicates the identification of rearrangements task. Although there are many programs specialized in the detection of these repetitions, they are not designed for the identification of main genomic rearrangements. |
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ISSN: | 1558-2639 |
DOI: | 10.1109/TNB.2016.2554150 |