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software [2016/08/19 21:00]
Jaroslaw Zola
software [2019/01/11 09:43]
Jaroslaw Zola
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 Visit [[https://​gitlab.com/​groups/​SCoRe-Group|our GitLab repository]] to see latest software development activities! Visit [[https://​gitlab.com/​groups/​SCoRe-Group|our GitLab repository]] to see latest software development activities!
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 +  * [[https://​gitlab.com/​SCoRe-Group/​SABNAtk|SABNAtk]] Toolkit for fast counting over categorical data. This toolkit can be used to power any application that involves counting of data configurations,​ e.g., to estimate likelihoods,​ evaluate model scoring functions, etc. Currently, SABNAtk is the workhorse supporting SABNA.
   * [[https://​gitlab.com/​SCoRe-Group/​SABNA-Release|SABNA]] Scalable Accelerated Bayesian Network Analytics. This very actively developed software toolkit provides a set of sequential and parallel tools for structure learning of Bayesian networks. It is designed to provide exact solutions on large-scale data in acceptable time limits.   * [[https://​gitlab.com/​SCoRe-Group/​SABNA-Release|SABNA]] Scalable Accelerated Bayesian Network Analytics. This very actively developed software toolkit provides a set of sequential and parallel tools for structure learning of Bayesian networks. It is designed to provide exact solutions on large-scale data in acceptable time limits.
   * [[http://​www.jzola.org/​elastic|ELaSTIC]] is a software suite for a rapid identification and clustering of similar sequences from large-scale biological sequence collections. At its core is an efficient MinHash-based strategy to detect similar sequence pairs without aligning all sequences against each other. It is designed to work with data sets consisting of millions of DNA/RNA or amino acid strings, using various alignment criteria. ​   * [[http://​www.jzola.org/​elastic|ELaSTIC]] is a software suite for a rapid identification and clustering of similar sequences from large-scale biological sequence collections. At its core is an efficient MinHash-based strategy to detect similar sequence pairs without aligning all sequences against each other. It is designed to work with data sets consisting of millions of DNA/RNA or amino acid strings, using various alignment criteria. ​
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