PrAS

predict protein amidation sites

Brought to you by: jlspzw

Add a Review

Downloads: 0 This Week

Last Update: 2016-12-04

Download

Get an email when there's a new version of PrAS

This predictor is developed to predict amidation sites based on
support vector machine (SVM) classifier. It is supplied in source code form along with the
required data files and run under the linux. The input is a protein sequence file (fasta format)
by Tong Wang and Wei Zheng (tongwang.scu@gmail.com and jlspzw139@sina.com)
Notice:You should download all zip file in this project!

Project Activity

See All Activity >

Follow PrAS

PrAS Web Site

Other Useful Business Software

Fully Managed MySQL, PostgreSQL, and SQL Server

Automatic backups, patching, replication, and failover. Focus on your app, not your database.

Cloud SQL handles your database ops end to end, so you can focus on your app.

Try Free

Rate This Project

User Reviews

Be the first to post a review of PrAS!

Additional Project Details

Registered

2016-04-29

Report inappropriate content

Forever Free Full-Stack Observability | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Recommended Projects

Stake-predictor
The Stake Crash Predictor is a tool designed to predict the next multi
Dice Bot
predict outcomes on the well-known gambling site Dice-Bot.
The Simple SVM toolbox
The simpleSVM project contains Machine Learning codes for algorithms based on the SimpleSVM. It provides methods for Support Vector Machines and related methods, such as One-Clas SVM, nu-SVM...
HDR Visual Difference Predictor
High Dynamic Range Visual Difference Predictor (HDR VDP) is a perceptual metric that can predict whether differences between two images are visible to the human observer or not.
RDP Classifier
The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments for bacterial and archaeal 16S rRNA sequences, fungal LSU and fungal ITS sequences, with confidence estimates for each assignment. More information and tutorials on how to install, use and retrain RDP Clasifier can be found on at https://github.com/rdpstaff/classifier and John Quensen's blog (https://john-quensen.com/). Citation: 1. Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007 Aug;73(16):5261-7. 2. Wang Q, Cole JR. Updated RDP taxonomy and RDP Classifier for more accurate taxonomic classification. Microbiol Resour Announc. 2024 Apr 11;13(4):e0106323.