KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...

Abstract: A deep learning-based model was trained to identify and suppress the scatter contributions in Cone Beam Computed Tomography (CBCT) images. The model was trained with CBCT projections ...