Substrings of length k contained in a biological sequence
For broader coverage of this topic, see
n-gram.
In bioinformatics, k-mers are substrings of length contained within a biological sequence. Primarily used within the context of computational genomics and sequence analysis, in which k-mers are composed of nucleotides (i.e. A, T, G, and C), k-mers are capitalized upon to assemble DNA sequences,[1] improve heterologous gene expression,[2][3] identify species in metagenomic samples,[4] and create attenuated vaccines.[5] Usually, the term k-mer refers to all of a sequence's subsequences of length , such that the sequence AGAT would have four monomers (A, G, A, and T), three 2-mers (AG, GA, AT), two 3-mers (AGA and GAT) and one 4-mer (AGAT). More generally, a sequence of length will have k-mers and total possible k-mers, where is number of possible monomers (e.g. four in the case of DNA).
- ^ Compeau, Phillip E C; Pevzner, Pavel A; Tesler, Glenn (November 2011). "How to apply de Bruijn graphs to genome assembly". Nature Biotechnology. 29 (11): 987–991. doi:10.1038/nbt.2023. ISSN 1087-0156. PMC 5531759. PMID 22068540.
- ^ Welch, Mark; Govindarajan, Sridhar; Ness, Jon E.; Villalobos, Alan; Gurney, Austin; Minshull, Jeremy; Gustafsson, Claes (2009-09-14). Kudla, Grzegorz (ed.). "Design Parameters to Control Synthetic Gene Expression in Escherichia coli". PLOS ONE. 4 (9): e7002. Bibcode:2009PLoSO...4.7002W. doi:10.1371/journal.pone.0007002. ISSN 1932-6203. PMC 2736378. PMID 19759823.
- ^ Gustafsson, Claes; Govindarajan, Sridhar; Minshull, Jeremy (July 2004). "Codon bias and heterologous protein expression". Trends in Biotechnology. 22 (7): 346–353. doi:10.1016/j.tibtech.2004.04.006. PMID 15245907.
- ^ Perry, Scott C.; Beiko, Robert G. (2010-01-01). "Distinguishing Microbial Genome Fragments Based on Their Composition: Evolutionary and Comparative Genomic Perspectives". Genome Biology and Evolution. 2: 117–131. doi:10.1093/gbe/evq004. ISSN 1759-6653. PMC 2839357. PMID 20333228.
- ^ Eschke, Kathrin; Trimpert, Jakob; Osterrieder, Nikolaus; Kunec, Dusan (2018-01-29). Mocarski, Edward (ed.). "Attenuation of a very virulent Marek's disease herpesvirus (MDV) by codon pair bias deoptimization". PLOS Pathogens. 14 (1): e1006857. doi:10.1371/journal.ppat.1006857. ISSN 1553-7374. PMC 5805365. PMID 29377958.