De-MISTED: Image-based classification of erroneous multiple sequence alignments using convolutional neural networks

The widespread use of high throughput genome sequencing technologies has resulted in a significant increase in the number of available sequences, creating new challenges for genome annotation and prediction of protein-coding genes in terms of error detection and quality control. Multiple Sequence Al...

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