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SBGridTV

Supported Applications

plmc

  • Description

    infers undirected graphical models to describe coevolution and covariation in families of biological sequences. With a multiple sequence alignment as an input, plmc can quantify inferred coupling strengths between all pairs of positions (couplingsfile output) or infer a generative model of the sequences for predicting the effects of mutations or designing new sequences (paramfile output).

  • Primary Citation*

    T. A. Hopf, J. B. Ingraham, F. J. Poelwijk, C. P. I. Schärfe, M. Springer, C. Sander, and D. S. Marks. 2017. Mutation effects predicted from sequence co-variation. Nature Biotechnology. 35: 128-135.


    • *Full citation information available through

  • Default Versions

    Linux 64:  20171002
    OS X INTEL:  20171002

  • Developers

    Debora Marks, John Ingraham.
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