The major function of StructureFold is to predict RNA secondary structures from high throughput RNA structure profiling data. It takes in high throughput sequencing data and outputs predicted RNA structures |
hg clone https://toolshed.g2.bx.psu.edu/repos/tyty/structurefold
Name | Version | Type | |
---|---|---|---|
biopython | 1.61 | package | |
bowtie | 0.12.7 | package | |
imaging | 1.1.7 | package | |
matplotlib | 1.2.1 | package | |
numpy | 1.7.1 | package | |
rnastructure | 5.7 | package | |
samtools | 0.1.18 | package | |
vienna_rna | 2.1 | package |
Name | Description | Version | Minimum Galaxy Version |
---|---|---|---|
calculates structural reactivity on each nucleotide based on RT stop counts from the Get RT Stop Counts module | 1.0 | any | |
iteratively maps the raw reads of RNA structural data to the reference transcriptome | 1.0 | any | |
predict RNA structures with or without experimental constraints from the Reactivity Calculation module | 1.0 | any | |
derives the reverse transcriptase (RT) stop count on each nucleotide from a mapped file provided by the Iterative Mapping module | 1.0 | any |