Frameshift alignment: statistics and post-genomic applications | Zendy

Sergey L. Sheetlin | Zendy; Yonil Park | Zendy; Martin C. Frith | Zendy; John L. Spouge | Zendy

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Frameshift alignment: statistics and post-genomic applications

Author(s) -

Sergey L. Sheetlin,

Yonil Park,

Martin C. Frith,

John L. Spouge

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu576

Subject(s) - frameshift mutation , computer science , computational biology , statistics , genetics , biology , mathematics , mutation , gene

The alignment of DNA sequences to proteins, allowing for frameshifts, is a classic method in sequence analysis. It can help identify pseudogenes (which accumulate mutations), analyze raw DNA and RNA sequence data (which may have frameshift sequencing errors), investigate ribosomal frameshifts, etc. Often, however, only ad hoc approximations or simulations are available to provide the statistical significance of a frameshift alignment score.

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