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Bios2cor (version 1.2)

From Biological Sequences and Simulations to Correlation Analysis

Description

Utilities for computation and analysis of correlation/co-variation in multiple sequence alignments and in side chain motions during molecular dynamics simulations. Features include the computation of correlation/co-variation scores using a variety of scoring functions between either sequence positions in alignments or side chain dihedral angles in molecular dynamics simulations and to analyze the correlation/co-variation matrix through a variety of tools including network representation and principal components analysis. In addition, several utility functions are based on the R graphical environment to provide friendly tools for help in data interpretation. Examples of sequence co-variation analysis and utility tools are provided in: Pele J, Moreau M, Abdi H, Rodien P, Castel H, Chabbert M. (2014) . This work was supported by the French National Research Agency (Grant number: ANR-11-BSV2-026).

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Version

Install

install.packages('Bios2cor')

Monthly Downloads

727

Version

1.2

License

GPL (>= 2)

Maintainer

Marie Chabbert

Last Published

September 7th, 2017

Functions in Bios2cor (1.2)

corr_contact

Calculates the number of contacts for each element of the top pairs
create_boxplot

Creates boxplot file
create_network

Creates network structure of top elements
create_pcafile

Creates a file of coordinates in PCA space
create_screeplot

Creates PCA screeplot
cyto_entropy

Creation of a entropy file in Cytoscape format
create_corrfile

Creates a correlation file
create_entropyfile

Stores entropy values
dynamic_struct

Creates the data structure for the analysis of side chain dihedral angles
elsc

ELSC(Explicit Likelihood of Subset Covariation) function
import.msf

Reads a multiple sequence alignment file in MSF format
mcbasc

McBASC(McLachlan Based Substitution Correlation) function
xyz2torsion

Convert Cartesian Coordinates to Torsion Angles
bios2cor-package

Correlation Analysis in Biological Sequences and Simulations
centered_pca

Principal component analysis of a correlation/covariation matrix
entropy

Entropy score
entropy_graph

Entropy graph
pca_2d

PCA projection on two dimensions
cyto_zscore

Creation of a Z-score file in Cytoscape format
delta_weighting

Creation of a Delta weighting filter for each element
mip

MIp(Mutual Information product) function
random.msa

Random Alignment
sigmoid_weighting

Sigmoid weighting for each position
write_pdb

PDB and PML file creation for 3D representation of PCA analysis
ang_evo_graph

Angle evolution graphs
angle_conversion

Conversion of dihedral angles to rotamers
gauss_weighting

Creation of a gaussian weighting filter for each element
import.fasta

Reads a file in FASTA format
omes

OMES(Observed minus Expected Squared) function
rotamer_circular

Circular correlation
rotamer_entropy

Entropy score
shuffle_all

Amino acids shuffle
shuffle_positions

Amino acids shuffle
rotamer_mip

MIP(Mutual Information Product) function applied to rotamers in molecular dynamics simulations
rotamer_omes

OMES(Observed minus Expected Squared) function applied to rotamers in molecular dynamics simulations