Train and explore deep convolutional neural networks to embed single cell ATAC-seq profiles.
Train and explore deep convolutional neural networks to sequentially predict DNA sequence continuous annotations.
Train and explore deep convolutional neural networks to predict DNA sequence peak annotations.
Predict genes in metagenomic sequences augmented by classification and clustering.
Detect and correct sequencing errors in whole-genome shotgun reads.
Cluster metagenomic sequences using interpolated Markov models.