Detecting species-site dependencies in large multiple sequence alignments

Multiple sequence alignments (MSAs) are one of the most important sources of information in sequence analysis. Many methods have been proposed to detect, extract and visualize their most significant properties. To the same extent that site-specific methods like sequence logos successfully visualize...

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Detalles Bibliográficos
Autores principales: Schwarz, Roland, Seibel, Philipp N., Rahmann, Sven, Schoen, Christoph, Huenerberg, Mirja, Müller-Reible, Clemens, Dandekar, Thomas, Karchin, Rachel, Schultz, Jörg, Müller, Tobias
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2764451/
https://www.ncbi.nlm.nih.gov/pubmed/19661281
http://dx.doi.org/10.1093/nar/gkp634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2764451/
https://www.ncbi.nlm.nih.gov/pubmed/19661281
http://dx.doi.org/10.1093/nar/gkp634

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