CombTEs: combining predictions from the search for transposable elements

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorFischer, Carlos Norberto-
Data de aceite: dc.date.accessioned2025-08-21T18:51:21Z-
Data de disponibilização: dc.date.available2025-08-21T18:51:21Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1504/IJBRA.2022.128238-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249646-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249646-
Descrição: dc.descriptionSeveral tools, using different approaches, are available nowadays to identify transposable elements (TEs) in a query sequence. Normally, a same set of TEs can be predicted by many of these tools. However, for other TEs, only a few tools are able to predict them due to their particular characteristics. In both cases, combining predictions produced by two or more tools can be an interesting approach to increasing the number of correct results and, at the same time, to further improve the confidence about the predicted TEs. Taking this into account, this work presents an auxiliary tool, CombTEs, that combines predictions produced by other programs and pipelines used to identify TEs in a genome sequence. The basic idea is that, after running only once the tools of interest, the same sets of initial predictions are used in several combining processes, each one considering different values for the parameters used by CombTEs (for example, filters and distance between predictions), in a very fast way, making the annotation step easier and more reliable.-
Descrição: dc.descriptionDepartment of Statistics Applied Maths and Computer Science UNESP – São Paulo State University, SP-
Descrição: dc.descriptionDepartment of Statistics Applied Maths and Computer Science UNESP – São Paulo State University, SP-
Formato: dc.format496-504-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of Bioinformatics Research and Applications-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectbioinformatics tools-
Palavras-chave: dc.subjectcombining predictions-
Palavras-chave: dc.subjectLTR retrotransposons-
Palavras-chave: dc.subjectpHMMs-
Palavras-chave: dc.subjectprediction combination-
Palavras-chave: dc.subjectprofile hidden Markov models-
Palavras-chave: dc.subjectsimilarity method-
Palavras-chave: dc.subjecttransposable element classification-
Palavras-chave: dc.subjecttransposable element searches-
Palavras-chave: dc.subjecttransposable elements-
Título: dc.titleCombTEs: combining predictions from the search for transposable elements-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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