Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.#R##N##R##N#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/.#R##N##R##N#Contact: ude.csu@shor#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online.
['Tsu-Pei Chiu', 'Federico Comoglio', 'Tianyin Zhou', 'Lin Yang', 'Renato Paro', 'Remo Rohs']
I am writing a research paper on a idea DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding
[{"from": "human", "value": "I am writing a research paper on a idea DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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.#R##N##R##N#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/.#R##N##R##N#Contact: ude.csu@shor#R##N##R##N#Supplementary information: Supplementary data are available at Bioinformatics online."}]