A COMBINED TRANSCRIPTOMICS AND PROTEOMICS APPROACH REVEALS THE DIFFERENCES IN THE PREDATORY AND DEFENSIVE VENOMS OF THE MOLLUSCIVOROUS CONE SNAIL CYLINDER AMMIRALIS (CAENOGASTROPODA: CONIDAE)

A Combined Transcriptomics and Proteomics Approach Reveals the Differences in the Predatory and Defensive Venoms of the Molluscivorous Cone Snail Cylinder ammiralis (Caenogastropoda: Conidae)

Venoms are complex mixtures of proteins that have evolved repeatedly in the Homeopathics animal kingdom.Cone snail venoms represent one of the best studied venom systems.In nature, this venom can be dynamically adjusted depending on its final purpose, whether to deter predators or hunt prey.Here, the transcriptome of the venom gland and the proteom

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An Improved 3D-2D Convolutional Neural Network Based on Feature Optimization for Hyperspectral Image Classification

As a new technology in the field of remote sensing, hyperspectral remote sensing has been widely used in land classification, mineral exploration, environmental monitoring, and other areas.In recent Blankets years, deep learning has achieved outstanding results in hyperspectral image classification tasks.However, problems such as low classification

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