pymol_script_significant_residue_proc: Writes a text files with pymol scripts to list significant...

View source: R/pymol_script_significant_residue_proc.R

pymol_script_significant_residue_procR Documentation

Writes a text files with pymol scripts to list significant residues.

Description

Function write a script that can be used in pymol to color structure. Number of colors and corresponding to them ranges can be defined by user. Residues are colored by average procent_deuteration from the significant peptides per residues.

Usage

pymol_script_significant_residue_proc(
  input_up,
  input_proc,
  path = "",
  ranges = c(-Inf, seq(-30, 30, by = 10), Inf),
  pv_cutoff = 0.01,
  replicates = 3
)

Arguments

input_up

Dataframe with organized deuteration uptake. Input generated using output_tp() function.

input_proc

Dataframe with organized procent deuteration data. Input generated using output_tp_proc() function.

path

location where the Pymol scripts will be saved

ranges

ranges for coloring scheme. Default set to c(-Inf, seq(-30, 30, by=10), Inf)

pv_cutoff

p-value cutoff here set up to 0.01

replicates

number of replicates in sample. Default set to 3.

Value

pymol script with residues colored based on average of procent deuteration per residue.

Examples


file_nm<-system.file("extdata", "All_results_table.csv", package = "HDXBoxeR")
a_up<- output_tp(file_nm)
a_proc<- output_tp(file_nm, percent=TRUE)
pymol_script_significant_residue_proc(input_proc=a_proc,
input_up=a_up, path=tempdir(), replicates=3, pv_cutoff=0.01,
ranges=c(-Inf,-40, -30,-20,-10, 0,10, 20,30,40, Inf))


mkajano/HDXBoxeR documentation built on April 23, 2024, 12:28 a.m.