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H2rs: Deducing evolutionary and functionally important residue positions by means of an entropy and similarity based analysis of multiple sequence alignments

Janda JO, Popal A, Bauer J, Busch M, Klocke M, Spitzer W, Keller J, Merkl R (2014)

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Publication Type: Journal article

Publication year: 2014

Journal

Publisher: Oxford University Press (OUP): Policy B - Oxford Open Option B

Book Volume: 15

Pages Range: 1--29

Journal Issue: 118

URI: http://www.biomedcentral.com/1471-2105/15/118

DOI: 10.1186/1471-2105-15-118

Open Access Link: http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-118

How to cite

APA:

Janda, J.-O., Popal, A., Bauer, J., Busch, M., Klocke, M., Spitzer, W.,... Merkl, R. (2014). H2rs: Deducing evolutionary and functionally important residue positions by means of an entropy and similarity based analysis of multiple sequence alignments. Bioinformatics, 15(118), 1--29. https://dx.doi.org/10.1186/1471-2105-15-118

MLA:

Janda, Jan-Oliver, et al. "H2rs: Deducing evolutionary and functionally important residue positions by means of an entropy and similarity based analysis of multiple sequence alignments." Bioinformatics 15.118 (2014): 1--29.

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