Computational Analysis Tools
DNAshapeR is a software package implemented in the statistical programming language R that 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.
Chiu et al. DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding.
Bioinformatics 32, 1211-1213 (2016)
Link to DNAshapeR software package link
GBshape provides DNA shape annotations of entire genomes. The database currently contains annotations for minor groove width, roll, propeller twist, helix twist and hydroxyl radical cleavage for 98 different organisms. Additional genomes can easily be added in the provided framework. GBshape contains two major tools, a genome browser and a table browser. The genome browser provides a graphical representation of DNA shape annotations along standard genome browser annotations.
Chiu et al. GBshape: a genome browser database for DNA shape annotations.
Nucleic Acids Res. 43, D103-109 (2015)
Link to GBshape database
Our new TFBSshape database disentangles the complex relationships between DNA sequence, its 3D structure, and protein-DNA binding specificity. The TFBSshape database augments nucleotide sequence motifs with heat maps and quantitative predictions of DNA shape features for 739 TF datasets from 23 different species.
Yang et al. TFBSshape: a motif database for DNA shape features of transcription factor binding sites.
Nucleic Acids Res. 42, D148-155 (2014)
Link to TFBSshape database
We developed a new method for predicting DNA shape in a high-throughput manner on a genome-wide scale. This approach predicts structural features (several helical parameters and minor groove width) for the entire yeast genome in less than one minute on a regular laptop. The prediction can be visualized as genome browser tracks and compared to other properties of the genome such as sequence conservation.
Zhou et al. DNAshape: a method for the high-throughput prediction of DNA structural features on a genomic scale.
Nucleic Acids Res. 41, W56-62 (2013)
Link to DNAshape web server