Source code for conkit.applications.psicov

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"""
Command line object for PSICOV contact prediction application
"""

__author__ = "Felix Simkovic"
__date__ = "04 Aug 2016"
__version__ = "0.13.3"

from Bio.Application import _Argument
from Bio.Application import _Option
from Bio.Application import _Switch
from Bio.Application import AbstractCommandline


[docs]class PsicovCommandline(AbstractCommandline): """ Command line object for PSICOV [#]_ contact prediction application http://bioinfadmin.cs.ucl.ac.uk/downloads/PSICOV/ The PSICOV program is a Accurate Contact Prediction from large protein alignments. .. [#] Jones, D.T., Buchan, D.W., Cozzetto, D. & Pontil, M. (2012). PSICOV: Precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments. Bioinformatics. 28, 184-190. Examples -------- To predict a contact map using a Multiple Sequence Alignment in JONES format, use: >>> from conkit.applications import PsicovCommandline >>> psicov_cline = PsicovCommandline(alnfile="test.aln") >>> print(ccmpred_cline) psicov test.aln You would typically run the command line with :func:`psicov_cline` or via the :mod:`~subprocess` module. """ def __init__(self, cmd="psicov", **kwargs): self.parameters = [ _Switch(["-a", "lasso"], "use approximate Lasso algorithm"), _Switch(["-n", "noshrink"], "don't pre-shrink the sample covariance matrix"), _Switch(["-f", "filter"], "filer low-scoring contacts"), _Switch(["-p", "ppv_output"], "output PPV estimates rather than raw scores"), _Switch(["-l", "noapc"], "don't apply APC to Lasso output"), _Option(["-r", "rho"], "set initial rho paramter", equate=False), _Option( ["-d", "sparsity"], "set target precision matrix sparsity [default: 0; not specified]", equate=False ), _Option(["-t", "convergence_threshold"], "set Lasso convergence threshold [default: 1e-4]", equate=False), _Option( ["-i", "blosum_weighting"], "select BLOSUM-like weighting with given identity threshold " "[default selects threshold automatically]", equate=False, ), _Option(["-c", "pseudocount"], "set pseudocount value [default: 1]", equate=False), _Option(["-j", "sequence_separation"], "set minimum sequence sparation [default: 5]", equate=False), _Option(["-g", "gap_fraction"], "set maximum fraction of gaps [default: 0.9]", equate=False), _Option(["-z", "nr_threads"], "set maximum number of threads", equate=False), _Option(["-b", "rho_parameter_file"], "read rho parameter file", filename=True, equate=False), _Argument(["alnfile"], "Input alignment file [JONES format]", filename=True, is_required=True), ] AbstractCommandline.__init__(self, cmd, **kwargs)