Your browser doesn't support javascript.
loading
Interpreting Sequence-Levenshtein distance for determining error type and frequency between two embedded sequences of equal length.
Logan, Robert; Wehe, Amy Wangsness; Woods, Dori C; Tilly, Jon; Khrapko, Konstantin.
Afiliação
  • Logan R; Science and Technology Division, Biology and Bioinformatics Department, Eastern Nazarene College, Quincy, MA 02170.
  • Wehe AW; Health and Natural Sciences Division, Mathematics Department, Fitchburg State University, Fitch-burg, MA 01420-2697.
  • Woods DC; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA 02115.
  • Tilly J; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA 02115.
  • Khrapko K; College of Science, Department of Biology, Northeastern University, 330 Huntington Ave, Boston, MA 02115.
ArXiv ; 2023 Oct 19.
Article em En | MEDLINE | ID: mdl-37904736
ABSTRACT
Levenshtein distance is a commonly used edit distance metric, typically applied in language processing, and to a lesser extent, in molecular biology analysis. Biological nucleic acid sequences are often embedded in longer sequences and are subject to insertion and deletion errors that introduce frameshift during sequencing. These frameshift errors are due to string context and should not be counted as true biological errors. Sequence-Levenshtein distance is a modification to Levenshtein distance that is permissive of frameshift error without additional penalty. However, in a biological context Levenshtein distance needs to accommodate both frameshift and weighted errors, which Sequence-Levenshtein distance cannot do. Errors are weighted when they are associated with a numerical cost that corresponds to their frequency of appearance. Here, we describe a modification that allows the use of Levenshtein distance and Sequence-Levenshtein distance to appropriately accommodate penalty-free frameshift between embedded sequences and correctly weight specific error types.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: ArXiv Ano de publicação: 2023 Tipo de documento: Article