Consensus sequence Zen.

by: TD Schneider

Appl Bioinformatics, Vol. 1, No. 3. (2002), pp. 111-119.

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Abstract

Consensus sequences are widely used in molecular biology but they have many flaws. As a result, binding sites of proteins and other molecules are missed during studies of genetic sequences and important biological effects cannot be seen. Information theory provides a mathematically robust way to avoid consensus sequences. Instead of using consensus sequences, sequence conservation can be quantitatively presented in bits of information by using sequence logo graphics to represent the average of a set of sites, and sequence walker graphics to represent individual sites.

@article{citeulike:143644, abstract = {Consensus sequences are widely used in molecular biology but they have many flaws. As a result, binding sites of proteins and other molecules are missed during studies of genetic sequences and important biological effects cannot be seen. Information theory provides a mathematically robust way to avoid consensus sequences. Instead of using consensus sequences, sequence conservation can be quantitatively presented in bits of information by using sequence logo graphics to represent the average of a set of sites, and sequence walker graphics to represent individual sites.}, address = {Laboratory of Experimental and Computational Biology, National Cancer Institute at Frederick, National Institutes of Health, Frederick, MD 21702-1201, USA. toms@ncifcrf.gov}, author = {Schneider, T. D. }, citeulike-article-id = {143644}, issn = {1175-5636}, journal = {Appl Bioinformatics}, keywords = {binding-site-prediction, bioinformatics, consensus, information-theory}, number = {3}, pages = {111--119}, posted-at = {2008-01-24 16:07:23}, priority = {0}, title = {Consensus sequence Zen.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/15130839}, volume = {1}, year = {2002} }

RIS record

TY - JOUR ID - citeulike:143644 L3 - citeulike-article-id:143644 TI - Consensus sequence Zen. JF - Appl Bioinformatics VL - 1 IS - 3 SP - 111 EP - 119 AD - Laboratory of Experimental and Computational Biology, National Cancer Institute at Frederick, National Institutes of Health, Frederick, MD 21702-1201, USA. toms@ncifcrf.gov SN - 1175-5636 N2 - Consensus sequences are widely used in molecular biology but they have many flaws. As a result, binding sites of proteins and other molecules are missed during studies of genetic sequences and important biological effects cannot be seen. Information theory provides a mathematically robust way to avoid consensus sequences. Instead of using consensus sequences, sequence conservation can be quantitatively presented in bits of information by using sequence logo graphics to represent the average of a set of sites, and sequence walker graphics to represent individual sites. KW - binding-site-prediction KW - bioinformatics KW - consensus KW - information-theory AU - Schneider, TD PY - 2002/// UR - http://view.ncbi.nlm.nih.gov/pubmed/15130839 ER -

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