2012
DOI: 10.1100/2012/694813
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A Novel Partial Sequence Alignment Tool for Finding Large Deletions

Abstract: Finding large deletions in genome sequences has become increasingly more useful in bioinformatics, such as in clinical research and diagnosis. Although there are a number of publically available next generation sequencing mapping and sequence alignment programs, these software packages do not correctly align fragments containing deletions larger than one kb. We present a fast alignment software package, BinaryPartialAlign, that can be used by wet lab scientists to find long structural variations in their exper… Show more

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Cited by 3 publications
(9 citation statements)
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“…III. THE INCREMENTALPARTIALALIGN ALGORITHM This method takes four input parameters, query sequence, reference sequence, similarity ratio threshold and minimum sequence length [5]. After aligning the query, if the similarity ratio is found to be below the given threshold, considering that this can be due to the presence of a large gap (small gaps would be tolerated by the classical SW anyway), we try splitting the query into a former and a latter part in all possible ways.…”
Section: The Smith-waterman Alignment Algorithmmentioning
confidence: 99%
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“…III. THE INCREMENTALPARTIALALIGN ALGORITHM This method takes four input parameters, query sequence, reference sequence, similarity ratio threshold and minimum sequence length [5]. After aligning the query, if the similarity ratio is found to be below the given threshold, considering that this can be due to the presence of a large gap (small gaps would be tolerated by the classical SW anyway), we try splitting the query into a former and a latter part in all possible ways.…”
Section: The Smith-waterman Alignment Algorithmmentioning
confidence: 99%
“…Most NGS software are based on the well-known SmithWaterman (SW) algorithm [2,3,4] are designed to align sequences with small gaps and may not be suitable when large deletions are present [5]. Finding such large deletions (and the related counterpart, finding large insertions), have become increasingly more useful in bioinformatics [5,6,7].…”
Section: Introductionmentioning
confidence: 99%
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