Binning is a process used in Metagenomics to group the DNA sequences or reads using different methods to base them off of, and then assigning them a likely taxonomic level.
Binning was created because the first studies that sampled the DNA of different organisms used marker genes, which was only a small portion of the DNA. Binning methods use the compositional features, the similaritys, or both to find the different taxonomic level. (3)
Several algorithms have been developed for binning. The algorithms can either employ previous information or use the new samples to make new groups. Algorithms that employ previous information act as supervised classifiers, while algorithms that make new groups act as unsupervised classifiers. These classifiers can use previously known sequences to their advantage by aligning them on databases, then use specific known DNA characterisitics to assign a taxonomic unit. Examples of a few popular binning algorithms are TETRA, phylopythia, SOrt- ITEMS, DiScRIBinATE, and ProVIDE. There are many other binning algorithms, these are simply the ones that are the most prominent. (1)
- "Binning (Metagenomics)." Wikipedia. Wikimedia Foundation, 05 Dec. 2013. Web. 29 Aug. 2013. <http://en.wikipedia.org/wiki/Binning_(Metagenomics)>.
- "Contig." Wikipedia. Wikimedia Foundation, 25 July 2013. Web. <http://en.wikipedia.org/wiki/Contig>.
- "Metagenomics - a Guide from Sampling to Data Analysis." Microbial Informatics and Experimentation. BioMed Central, 9 Feb. 2012. Web. <http://www.microbialinformaticsj.com/content/2/1/3>.