• DeepTE: a computational method for de novo classification of transposons with convolutional neural network

    2 monthes ago - By Oxford Journals

    AbstractMotivationTransposable elements classification is an essential step to decode their roles in genome evolution. With a large number of genomes from non-model species becoming available, accurate and efficient TE classification has emerged as a new challenge in genomic sequence analysis.ResultsWe developed a novel tool, DeepTE, which classifies unknown TEs using convolutional neural networks. DeepTE transferred sequences into input vectors based on k-mer counts. A tree structured classification process was used where eight models were trained to classify TEs into super families and...
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