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Compression-based distance (CBD): a simple, rapid, and accurate method for microbiota composition comparison. BMC Bioinformatics 2013, 14:136
Compression-based distance (CBD) is a simple, rapid, and accurate method to quantitatively analyze similarities between microbiota samples. CBD takes advantage of the repetitive nature of hypervariable tag datasets and the well-established field of compression algorithms to assess similarities between microbial communities according to the degree that their concatenated datasets can be compressed. The following figure shows how CBD assesses similarity between two microbiota.
CBD is open source and available at http://tornado.igb.uiuc.edu/CBD/CBD.html
Compression-based distance (CBD) is a simple, rapid, and accurate method to quantitatively analyze similarities between microbiota samples. CBD takes advantage of the repetitive nature of hypervariable tag datasets and the well-established field of compression algorithms to assess similarities between microbial communities according to the degree that their concatenated datasets can be compressed. The following figure shows how CBD assesses similarity between two microbiota.
CBD is open source and available at http://tornado.igb.uiuc.edu/CBD/CBD.html