Our database incorporates a diverse array of traits, both qualitative and quantitative. These traits will be showed in detail on the 'Lookup' and 'Predict' pages. At least 11 kinds are provided now, we will enrich our database and models constaintly.
SoyDNGP provides two versatile methods for users to access trait information.
The first is the 'Trait Lookup' option, and the second option we offer is the 'Trait Prediction' tool. Here, users can choose which to use freely.
In our commitment to promoting open access to scientific resources, SoyDNGP is freely accessible to all users. We invite all researchers and professionals to leverage our resource in their exploration of the diverse and rich traits of soybean.
Here, users can input the taxon name - either the PI number or the traditional name - to check if the respective record is already included in our database. Our database incorporates a diverse array of traits, both qualitative and quantitative.
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Here, users can upload a VCF file, which our robust models will then use to predict trait values. This tool uses the state-of-art neural network models that we have meticulously trained and fine-tuned, ensuring accurate and reliable predictions.
try nowSoyDNGP, an advanced webserver designed to utilize the power of convolutional neural network-based models for the prediction of agronomic traits in soybean. Built to serve the burgeoning field of agriculture, our server supports the analysis of a comprehensive range of traits.
Vegetable Soybean
Soybean
