High-Throughput Robust Analysis for Capillary Electrophoresis
Example scripts and data are included in the HiTRACE repository. For a new analysis, start with these example scripts and replace relevant values with yours:
[NEW] For further practice, we provide 12 more examples. They are previous 1D and 2D datasets annotated by our experts. Download Script & Data, and follow these instructions.
Workspace files are provided for comparison only, when you want to double check if your results are the same (especially for Step #4). They are not needed for trying out and starting fresh.
The complete HiTRACE analysis pipeline is composed of the following steps.
Checklist before kick off.
Read in data and provide a quick look.
Perform additional finer alignments.
Input experiment details and basic RNA construct information.
Annotate the position of each nucleotide position on the gel matching bands.
Integrate band intensities into nucleotide peak readings.
Perform unsaturation, attenuation correction, background subtraction, and normalization for 1D data.
Evaluate data and estimate errors across replicates.
Print well-annotated figures of your analysis for archiving.
Write analyzed result to file in RDAT format, for use of Z-score and prediction.
Transfrom 2D chemical mapping data into Z-score for use as 2D pseudo-free energy bonus for RNAstructure.
Run structural prediction using RNAstructure based on chemical mapping reactivity data, with bootstrapping for helix-wise confidence score.
Draw secondary structure using VARNA with nucleotides color-coded by reactivity, and mark difference between secondary structure models.
Make publication-ready diagram of secondary structures with nucleotides color-coded by reactivity.
Make publication-ready 3D models with nucleotides color-coded by reactivity.
Share your chemical mapping results to RNA Mapping Database.
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