DAVI: Deep learning-based tool for alignment and single nucleotide variant identification
DAVI consists of models for both global and local alignment and for variant calling. We have evaluated the performance of DAVI against existing state-of-the-art tool sets and found t...1149 days ago
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GraphMap - A highly sensitive and accurate mapper for long, error-prone reads
...o handle Oxford Nanopore MinION 1d and 2d reads with very high sensitivity and accuracy, and also presents a significant improvement over the state-of-the-art for PacBio read ma...3227 days ago
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CISA: Contig Integrator for Sequence Assembly
...to yield an assembly of high accuracy. In this study, we employ various state-of-the-art assemblers to gene...contiguity and accuracy, compared with the assemblies generated by the state-of-the-art assemblers and the...2701 days ago
ChromHMM: Chromatin state discovery and characterization
...ware for learning and characterizing chromatin states. ChromHMM can integrate mult...or more cell types. By automatically computing state enrichments for large-scale f...itates the biological characterization of each state. ChromHMM also produces files...2576 days ago
dipSPAdes: Assembler for Highly Polymorphic Diploid Genomes.
...ojects. To address this limitation, we developed the first de Bruijn graph assembler, dipSPAdes, for HP genomes that significantly improves on the state-of-the-art assemblers for HP...2330 days ago