Welcome to SaGP

Plants Salt-alkaline Resistance Genes Prediction

Soil saline-alkalization stress reduces crop yield and leads to plant mortality globally. Identifying novel saline-alkali tolerance genes is key to breeding stress-resistant variants to combat the negative effects of stress and secure food, and to conserving species. SaGP provides the first known machine learning model to identify plant saline-alkali tolerance genes. It outperformed traditional computational tools, BLAST and PHMMER and correctly identified the latest published genes. SaGP can be used for the large-scale identification of saline-alkali tolerance genes, thus promoting crop breeding and plant conservation.

Project overview

ANALYSIS

  1. Paste your sequences (FASTA format).
  2. Click "Start Prediction!".
  3. View the results.

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SUBMISSION

Data information

Contact information

DOWNLOAD

Name Description Download
Positive Dataset Plant saline-alkali tolerance gene data
Negative Dataset Plant non-saline-alkali tolerance gene data