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Bios2cor (version 2.2.1)

From Biological Sequences and Simulations to Correlation Analysis

Description

Utilities for computation and analysis of correlation/covariation in multiple sequence alignments and in side chain motions during molecular dynamics simulations. Features include the computation of correlation/covariation scores using a variety of scoring functions between either sequence positions in alignments or side chain dihedral angles in molecular dynamics simulations and utilities to analyze the correlation/covariation 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 covariation analysis are provided in: (1) Pele J, Moreau M, Abdi H, Rodien P, Castel H, Chabbert M (2014) and (2) Taddese B, Deniaud M, Garnier A, Tiss A, Guissouma H, Abdi H, Henrion D, Chabbert M (2018) . An example of side chain correlated motion analysis is provided in: Taddese B, Garnier A, Abdi H, Henrion D, Chabbert M (2020) . This work was supported by the French National Research Agency (Grant number: ANR-11-BSV2-026) and by GENCI (Grant number: 100567).

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Version

Install

install.packages('Bios2cor')

Monthly Downloads

727

Version

2.2.1

License

GPL (>= 2)

Maintainer

Marie Chabbert

Last Published

July 8th, 2022

Functions in Bios2cor (2.2.1)

bios2cor-package

Correlation/covariation Analysis in Biological Sequences and Simulations
angles.plot

plots the time evolution of the dihedral angles in top pairs
mi

Mutual Information (MI) function
mip

Mutual Information product (MIP) function
dynamic_mi

Mutual Information (MI) function applied to rotamers in molecular dynamics simulations
omes

OMES (Observed minus Expected Squared) function
network.plot

Creates network structure of top elements
import.msf

Reads a multiple sequence alignment file in MSF format
pca_2d

PCA projection on two dimensions
mcbasc

McBASC (McLachlan Based Substitution Correlation) function
pca_screeplot

Creates PCA screeplot
scores.boxplot

Creates boxplots of correlation/covariation scores
random.msa

Random Alignment
entropy

Entropy score
write.entropy

Writes and displays entropy values
dynamic_omes

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

Calculates the number of contacts for each element of the top pairs
import.fasta

Reads a file in FASTA format
write.pca

Creates a file of coordinates in PCA space
elsc

Explicit Likelihood of Subset Covariation (ELSC) function
dynamic_structure

Creates the data structure for the analysis of side chain dihedral angles
scores_entropy.plot

Scores versus entropy graph
write.pca.pdb

PDB and PML file creation for 3D representation of PCA analysis
write.scores

Creates a correlation/covariation ouput file
xyz2torsion

Convert Cartesian Coordinates to Torsion Angles
delta_filter

Creation of an entropy/dynamic score delta filter for each element
dynamic_circular

Circular correlation
dynamic_entropy

Variability score
angle2rotamer

Converts dihedral angles to rotamers
dynamic_mip

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

Performs principal component analysis of a correlation/covariation matrix