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

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Details zur Publikation

Autorinnen und Autoren: Janda JO, Popal A, Bauer J, Busch M, Klocke M, Spitzer W, Keller J, Merkl R
Zeitschrift: Bioinformatics
Verlag: Oxford University Press (OUP): Policy B - Oxford Open Option B
Jahr der Veröffentlichung: 2014
Band: 15
Heftnummer: 118
Seitenbereich: 1--29
ISSN: 1367-4803


Zitierweisen

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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