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SWALO (scaffolding with assembly likelihood optimization) is a method for scaffolding based on likelihood of genome assemblies computed using generative models for sequencing. Download Git repository of SWALO is at https://github.com/atifrahman/SWALO.2765 days ago
SWALO: Scaffolding with assembly likelihood optimization
SWALO (scaffolding with assembly likelihood optimization) is a method for scaffolding based on likelihood of genome assemblies computed using generative models for sequencing. Please email your questions, comments, suggestions, and bug reports to atif.bd@gmail.com.2198 days ago
- this is a fourth blog post in the Machine learning in Perl series, focusing on the AI::MXNet, a Perl interface to Apache MXNet, a modern and powerful machine learnin...
1591 days ago
DeepHiC: A Generative Adversarial Network for Enhancing Hi-C Data Resolution
DeepHiC is a GAN-based model for enhancing Hi-C data resolution. We developed this server for helping researchers to enhance their own low-resolution data by a few steps...1576 days ago
