Packaged: Mon Feb 16 21:12:05 2009; Lester

Packaged: Thu Feb 19 14:24:40 2009; Lester

Packaged: Thu Mar  5 11:33:42 2009; Lester

Description: Imports benthic count data, reformats this data, and
computes environmental inferences from this data.

Title: Predict environmental conditions from biological observations

Packaged: 2014-02-12 02:46:53 UTC; lesterlyuan

Title: Predict Environmental Conditions from Biological Observations
Packaged: 2020-09-02 12:28:36 UTC; lesterlyuan

Package: bio3d
Title: Biological Structure Analysis
Version: 2.1-1
Author: Barry Grant, Xin-Qiu Yao, Lars Skjaerven, Julien Ide
VignetteBuilder: knitr
Imports: parallel, grid
Suggests: XML, RCurl, lattice, ncdf, igraph, bigmemory, knitr, testthat
Depends: R (>= 3.0.0)
LazyData: yes
Description: Utilities to process, organize and explore protein structure,
sequence and dynamics data.  Features include the ability to read and
write structure, sequence and dynamic trajectory data, perform sequence
and structure database searches, data summaries, atom selection,
alignment, superposition, rigid core identification, clustering,
torsion analysis, distance matrix analysis, structure and sequence
conservation analysis, normal mode analysis, principal component
analysis of heterogeneous structure data, and correlation network
analysis from normal mode and molecular dynamics data.  In addition,
various utility functions are provided to enable the statistical and
graphical power of the R environment to work with biological sequence
and structural data.  Please refer to the URLs below for more information.
Maintainer: Barry Grant <bjgrant@umich.edu>
License: GPL (>= 2)
URL: http://thegrantlab.org/bio3d/, http://bitbucket.org/Grantlab/bio3d
Packaged: 2014-10-15 20:07:48 UTC; xinqyao
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-15 23:56:55

Description: Utilities to process, organize and explore protein structure, sequence and dynamics data.  Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data.  In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data.  Please refer to the URLs below for more information.