English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data

MPS-Authors
/persons/resource/persons44337

Döring,  Matthias
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44197

Büch,  Joachim
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44444

Friedrich,  Georg
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45193

Pironti,  Alejandro
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons118128

Kalaghatgi,  Prabhav
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

/persons/resource/persons98170

Pfeifer,  Nico
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

gky349.pdf
(Publisher version), 974KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Döring, M., Büch, J., Friedrich, G., Pironti, A., Kalaghatgi, P., Knops, E., et al. (2018). Geno2pheno[ngs-freq]: a Genotypic Interpretation System for Identifying Viral Drug Resistance using Next-Generation Sequencing Data. Nucleic Acids Research, 46(Web Server issue): gky349, pp. W271-W277. doi:10.1093/nar/gky349.


Cite as: https://hdl.handle.net/21.11116/0000-0001-3F53-C
Abstract
There is no abstract available