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DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding

Summary: DNAshapeR predicts DNA shape features in an ultra-fast, high-throughput manner from genomic sequencing data. The package takes either nucleotide sequence or genomic coordinates as input and generates various graphical representations for visualization and further analysis. DNAshapeR further...

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Detalles Bibliográficos
Autores principales: Chiu, Tsu-Pei, Comoglio, Federico, Zhou, Tianyin, Yang, Lin, Paro, Renato, Rohs, Remo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824130/
https://www.ncbi.nlm.nih.gov/pubmed/26668005
http://dx.doi.org/10.1093/bioinformatics/btv735
Descripción
Sumario:Summary: DNAshapeR predicts DNA shape features in an ultra-fast, high-throughput manner from genomic sequencing data. The package takes either nucleotide sequence or genomic coordinates as input and generates various graphical representations for visualization and further analysis. DNAshapeR further encodes DNA sequence and shape features as user-defined combinations of k-mer and DNA shape features. The resulting feature matrices can be readily used as input of various machine learning software packages for further modeling studies. Availability and implementation: The DNAshapeR software package was implemented in the statistical programming language R and is freely available through the Bioconductor project at https://www.bioconductor.org/packages/devel/bioc/html/DNAshapeR.html and at the GitHub developer site, http://tsupeichiu.github.io/DNAshapeR/. Contact: rohs@usc.edu Supplementary information: Supplementary data are available at Bioinformatics online.