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

Journal article


Publication Details

Author(s): Janda JO, Popal A, Bauer J, Busch M, Klocke M, Spitzer W, Keller J, Merkl R
Journal: Bioinformatics
Publisher: Oxford University Press (OUP): Policy B - Oxford Open Option B
Publication year: 2014
Volume: 15
Journal issue: 118
Pages range: 1--29
ISSN: 1367-4803


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.

BibTeX: 

Last updated on 2018-11-08 at 02:01