Razor Signal Peptide Detection
A sequence based method for detecting signal peptides.
Overview
A sequence based method for detecting signal peptides using Random Forest models.
Run Razor Signal Peptide Detection on Neurosnap
The Razor Signal Peptide Detection online webserver allows anybody with a Neurosnap account to run and access Razor Signal Peptide Detection, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Signal Peptide detection.
- Detects Fungal and Toxin peptides.
- Displays mature sequences and the cleaved sequences.
- Leverages properitary S, C, and Y scores as well as a 30 residue sliding window for detection.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access Razor Signal Peptide Detection using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using Razor Signal Peptide Detection in publications or research outputs.
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Bhandari, Bikash et al. "Razor: annotation of signal peptides from toxins", www.biorxiv.org, 07 March 2021, https://www.biorxiv.org/content/10.1101/2020.11.30.405613v2. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |