Package: idpr 1.15.0

William M. McFadden

idpr: Profiling and Analyzing Intrinsically Disordered Proteins in R

‘idpr’ aims to integrate tools for the computational analysis of intrinsically disordered proteins (IDPs) within R. This package is used to identify known characteristics of IDPs for a sequence of interest with easily reported and dynamic results. Additionally, this package includes tools for IDP-based sequence analysis to be used in conjunction with other R packages. Described in McFadden WM & Yanowitz JL (2022). "idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R." PloS one, 17(4), e0266929. <https://doi.org/10.1371/journal.pone.0266929>.

Authors:William M. McFadden [cre, aut], Judith L. Yanowitz [aut, fnd], Michael Buszczak [ctb, fnd]

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idpr.pdf |idpr.html✨
idpr/json (API)

Peer review:

Bug tracker:https://github.com/wmm27/idpr/issues

On BioConductor:idpr-1.15.0(bioc 3.20)idpr-1.14.0(bioc 3.19)

bioconductor-package

19 exports 0.71 score 50 dependencies

Last updated 2 months agofrom:39cef0b915

Exports:chargeCalculationGlobalchargeCalculationLocalchargeHydropathyPlotfoldIndexRhendersonHasselbalchidprofileiuprediupredAnchoriupredRedoxmeanScaledHydropathynetChargescaledHydropathyGlobalscaledHydropathyLocalsequenceChecksequenceMapsequenceMapCoordinatessequencePlotstructuralTendencystructuralTendencyPlot

Dependencies:askpassBiocGenericsBiostringsclicolorspacecrayoncurldplyrfansifarvergenericsGenomeInfoDbGenomeInfoDbDataggplot2gluegtablehttrIRangesisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemunsellnlmeopensslpillarpkgconfigplyrR6RColorBrewerRcpprlangS4VectorsscalessystibbletidyselectUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc