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      Individual and Collective Graph Mining: Principles, Algorithms, and Applications

      1 , 2
      Synthesis Lectures on Data Mining and Knowledge Discovery
      Morgan & Claypool Publishers LLC

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          Search and clustering orders of magnitude faster than BLAST.

          Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
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            Factor graphs and the sum-product algorithm

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              A new status index derived from sociometric analysis

              Leo Katz (1953)
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                Author and article information

                Journal
                Synthesis Lectures on Data Mining and Knowledge Discovery
                Synthesis Lectures on Data Mining and Knowledge Discovery
                Morgan & Claypool Publishers LLC
                2151-0067
                2151-0075
                October 26 2017
                October 26 2017
                : 9
                : 2
                : 1-206
                Affiliations
                [1 ] University of Michigan, Ann Arbor
                [2 ] Carnegie Mellon University
                Article
                10.2200/S00796ED1V01Y201708DMK014
                deb87387-3497-4735-b9b8-41cb3e3f9bd6
                © 2017
                History

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