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	<entry>
		<id>https://biowerkzeug.org/index.php?title=Hippo_license&amp;diff=113</id>
		<title>Hippo license</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Hippo_license&amp;diff=113"/>
		<updated>2008-10-17T21:41:03Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: hippo-license.txt (from r26)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;License agreement for HIPPO Beta Biowerkzeug Limited www.biowerkzeug.com&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
BIOWERKZEUG LIMITED IS WILLING TO LICENSE THE HIPPO SOFTWARE AND&lt;br /&gt;
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PLEASE  READ THESE TERMS CAREFULLY  BEFORE INSTALLING  OR USING  THE&lt;br /&gt;
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TO ALL OF  THE TERMS OF THIS AGREEMENT, BIOWERKZEUG LIMITED IS UNWILLING TO&lt;br /&gt;
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		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Hippo&amp;diff=112</id>
		<title>Hippo</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Hippo&amp;diff=112"/>
		<updated>2008-10-17T21:38:28Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: /* Download */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Image:Gbim.jpg‎|frame|right|A peptide folds and inserts into a membrane; the membrane is represented by an implicit Generalized Born model.]]&lt;br /&gt;
&#039;&#039;&#039;Hippo&#039;&#039;&#039; is a software package for simulation and analysis of bio-molecules at an atomic level. It has been specifically developed for very efficient protein folding studies in aqueous and membrane environments. The code is very fast due to optimized and hand-coded assembly routines which make use of fast multi-media instructions on modern x86 cpus. Hippo is (partially) parallelized (using industry-standard [http://www.openmp.org/ openMP]).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Download ==&lt;br /&gt;
Binaries are publicly available from the [http://www.biowerkzeug.com/ Biowerkzeg.com download page] for &#039;&#039;&#039;Linux&#039;&#039;&#039; and &#039;&#039;&#039;Windows&#039;&#039;&#039;.&lt;br /&gt;
&amp;lt;!-- , and &#039;&#039;&#039;Mac OS X (Intel platform only)&#039;&#039;&#039;. --&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Installation ==&lt;br /&gt;
Unzip the downloaded file. It will unpack into its own &amp;lt;tt&amp;gt;hippo&amp;lt;/tt&amp;gt; directory where you will find&lt;br /&gt;
* compiled executables (see below)&lt;br /&gt;
** &amp;lt;tt&amp;gt;hippo&amp;lt;/tt&amp;gt;: the MD and MC program&lt;br /&gt;
** &amp;lt;tt&amp;gt;analyse&amp;lt;/tt&amp;gt;: the analysis program&lt;br /&gt;
* the manual ([http://www.biowerkzeug.de/downloads/hippo/hippo_manual.pdf pdf])&lt;br /&gt;
* the [[Hippo license|license]] (to which you consent by downloading)&lt;br /&gt;
* the OPLS-AA forcefield file (in Hippo format)&lt;br /&gt;
* the readme.txt file&lt;br /&gt;
* the &amp;lt;tt&amp;gt;testjobs&amp;lt;/tt&amp;gt; directory with example systems&lt;br /&gt;
&lt;br /&gt;
The package includes binaries that run under Linux and Windows on any Intel or AMD processor that has the SSE or SSSE3 multi media instructions. Depending on your system and needs, choose the following executable from the package:&lt;br /&gt;
&lt;br /&gt;
{|&lt;br /&gt;
|+Hippo executables&lt;br /&gt;
!cpu           !!Linux        !!Windows&lt;br /&gt;
|-&lt;br /&gt;
|SSSE3 (Core Duo,...)      ||&amp;lt;tt&amp;gt;hippo&amp;lt;/tt&amp;gt;        ||&amp;lt;tt&amp;gt;hippo.exe&amp;lt;/tt&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|SSE (PIII,P4,Athlon,...)  ||&amp;lt;tt&amp;gt;hippo_p3&amp;lt;/tt&amp;gt;     ||&amp;lt;tt&amp;gt;hippo_p3.exe&amp;lt;/tt&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
If in doubt, simply try them out in order; if it will not run you will receive an error message such as &lt;br /&gt;
 Fatal Error: This program was not built to run on the processor in your system.&lt;br /&gt;
 The allowed processors are: Intel(R) Core(TM) Duo processors and compatible Intel processors &lt;br /&gt;
 with supplemental Streaming SIMD Extensions 3 (SSSE3) instruction support.&lt;br /&gt;
In this case try the &amp;lt;tt&amp;gt;hippo_p3&amp;lt;/tt&amp;gt; or &amp;lt;tt&amp;gt;hippo_p3.exe&amp;lt;/tt&amp;gt; executable. If this still doesn&#039;t work, [http://forums.biowerkzeug.org/viewforum.php?f=6 post a request in the Hippo Installation forum].&lt;br /&gt;
&lt;br /&gt;
Executables with the &amp;lt;tt&amp;gt;_mpi&amp;lt;/tt&amp;gt; extension have been compiled with OpenMP and can run on multiple CPUs. However, not all code segments are yet parallelized.&lt;br /&gt;
&lt;br /&gt;
== Test cases ==&lt;br /&gt;
The &amp;lt;tt&amp;gt;testjobs&amp;lt;/tt&amp;gt; directory contains a number of testcases.&lt;br /&gt;
&lt;br /&gt;
Run the &amp;lt;tt&amp;gt;calc_testjobs_linux.bat&amp;lt;/tt&amp;gt; or &amp;lt;tt&amp;gt;calc_testjobs_win32.bat&amp;lt;/tt&amp;gt; script in order to perform &#039;&#039;all&#039;&#039; tests. On modern processors this should take between 2 and 4 Minutes.&lt;br /&gt;
&lt;br /&gt;
Use the tests in order to get started in running your own systems.&lt;br /&gt;
&lt;br /&gt;
== Features ==&lt;br /&gt;
=== Simulation methods ===&lt;br /&gt;
* [[Molecular dynamics]] (MD) in NVT, NPT, NVE ensembles &lt;br /&gt;
* Metropolis [[Monte Carlo]] (MC) in NVT and NPT ensembles &amp;lt;cite&amp;gt;JACS2004,JPhysChemB2006&amp;lt;/cite&amp;gt;&lt;br /&gt;
* [[Replica exchange]] with MD and MC&lt;br /&gt;
&lt;br /&gt;
=== Force fields ===&lt;br /&gt;
* OPLS-AA &amp;lt;cite&amp;gt;Jorgensen1996,Kaminski2001&amp;lt;/cite&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Solvation models ===&lt;br /&gt;
* explicit solvent (water: TIP4P &amp;lt;cite&amp;gt;Jorgensen1985&amp;lt;/cite&amp;gt;, SPC &amp;lt;cite&amp;gt;Berendsen1981&amp;lt;/cite&amp;gt;)&lt;br /&gt;
* Generalized Born implicit solvent (GB/SA) &lt;br /&gt;
* Generalized Born implicit membrane (GB/IM)  &amp;lt;cite&amp;gt;Proteins2007,BJ2007,Proteins2005&amp;lt;/cite&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Enhanced productivity ===&lt;br /&gt;
A number of features make it easy to use Hippo so that one can spend more time on working on problems and less time on setting up structures or dealing with system crashes:&lt;br /&gt;
* seamless restarts&lt;br /&gt;
* intelligent pdb structure loader: reads most pdbs, can complete missing atoms, and builds the topology&lt;br /&gt;
* graphical frontend under development (Windows only)&lt;br /&gt;
&lt;br /&gt;
=== Analysis ===&lt;br /&gt;
[[Image:Peptidescan.jpg|frame|right|Adiabatic Generalized Born energy surface for different positions and orientations of a helical peptide in a membrane (output from the &#039;&#039;translation+rotation energy scan&#039;&#039; analysis tool).]]&lt;br /&gt;
A growing number of analysis tools are built into Hippo, for instance&lt;br /&gt;
; adiabatic translation+rotation energy scan: determines the Generalized Born energy of a peptide in a membrane &amp;lt;cite&amp;gt;MMB2008,BJ2006&amp;lt;/cite&amp;gt;; this allows to decide if a (typically helical) peptide inserts into the membrane and at which depth and angle or if it prefers a surface-bound or even a fully solvated state  &lt;br /&gt;
; RMSD: calculates the [[RMSD|root mean square deviation]] of trajectory frames to a reference structure&lt;br /&gt;
; helicity: degree of helicity of segments along trajectory&lt;br /&gt;
; Z - tilt - kink graph: Calculates center of mass, tilt angle, and kink angle of a peptide in a membrane as a  function of simulation time. The membrane is in the xy plane, with z = 0 the membrane center. Kink angle is with respect to the membrane normal. &amp;lt;cite&amp;gt;Cordes2002&amp;lt;/cite&amp;gt;&lt;br /&gt;
; cluster: Performs a cluster analysis using the pairwise method by Daura et al.&amp;lt;cite&amp;gt;Daura1999&amp;lt;/cite&amp;gt;&lt;br /&gt;
; fit to phase: recenters trajectory on the centre of mass of a phase (such as a lipid membrane) &lt;br /&gt;
; fit solute to previous frames: Generate a PDB movie by RMSD fitting the solute of each frame to the previous frame.  &lt;br /&gt;
&lt;br /&gt;
The Hippo output format is a binary [[File formats#xyz-movie|xyz-movie]] (see the [http://openbabel.org/wiki/XYZ definition of the xyz format]); thus many other [[analysis]] tools can also be used.&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&amp;lt;biblio&amp;gt;&lt;br /&gt;
#MMB2008 pmid=18428040&lt;br /&gt;
#Proteins2007 pmid=17600830&lt;br /&gt;
#BJ2007 pmid=17218457&lt;br /&gt;
#BJ2006 pmid=16339877&lt;br /&gt;
#JPhysChemB2006 pmid=16913813&lt;br /&gt;
#Proteins2005 pmid=15723347&lt;br /&gt;
#JACS2004 pmid=14871118&lt;br /&gt;
#Kaminski2001 George A. Kaminski, Richard A. Friesner, Julian Tirado-Rives, and William L. Jorgensen. &#039;&#039;Evaluation and reparametrization of the OPLS-AA force field for proteins via comparison with accurate quantum chemical calculations on peptides&#039;&#039;. J. Phys. Chem. B, 105(28):6474–6487, 2001. [http://dx.doi.org/10.1021/jp003919d 10.1021/jp003919d].&lt;br /&gt;
#Jorgensen1996 W. L. Jorgensen, D. S. Maxwell, and J. Tirado-Rives. &#039;&#039;Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids&#039;&#039;. J. Am. Chem. Soc., 118(45):11225–11236, 1996. [http://dx.doi.org/10.1021/ja9621760 10.1021/ja9621760].&lt;br /&gt;
#Jorgensen1985 W. L. Jorgensen and J. D. Madura. &#039;&#039;Temperature and size dependence for Monte-Carlo simulations of TIP4P water&#039;&#039;. Mol. Phys., 56(6):1381–1392, December 1985.&lt;br /&gt;
#Berendsen1981 H. J. C. Berendsen, J. P. M. Postma, W. F. van Gunsteren, and J. Hermans. &#039;&#039;Interaction models for water in relation to protein hydration&#039;&#039;. In B. Pullman, editor, Intermolecular Forces, page 331. D. Reidel Publishing Company, Dordrecht, Holland, 1981.&lt;br /&gt;
#Cordes2002 pmid=12417206&lt;br /&gt;
#Daura1999 X Daura, K Gademann, B Jaun, D Seebach, WF van Gunsteren, and AE Mark. &#039;&#039;Peptide folding: When simulation meets experiment&#039;&#039;. Angewandte Chemie-International Edition, 38 (1-2):236–240, 1999. [http://dx.doi.org/10.1002/(SICI)1521-3773(19990115)38:1/2%3C236::AID-ANIE236%3E3.0.CO;2-M &amp;lt;nowiki&amp;gt;10.1002/(SICI)1521-3773(19990115)38:1/2&amp;lt;236::AID-ANIE236&amp;gt;3.0.CO;2-M&amp;lt;/nowiki&amp;gt;].&lt;br /&gt;
&amp;lt;/biblio&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:Hippo]]&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Gromacs&amp;diff=81</id>
		<title>Gromacs</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Gromacs&amp;diff=81"/>
		<updated>2008-06-30T21:00:31Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: /* References */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;[http://www.gromacs.org/ Gromacs]&#039;&#039;&#039; &amp;lt;cite&amp;gt;Berendsen1995, Lindahl2001, vanderSpoel2005, Hess2008&amp;lt;/cite&amp;gt; is a MD package developed in Groningen, Netherlands, which is published under the [http://www.gnu.org/copyleft/gpl.html GNU Public license]. It&#039;s [http://www.gromacs.org/features/index.php claim to fame] is&lt;br /&gt;
* raw speed (due to hand coded assembly inner loops and a few optimisations)&lt;br /&gt;
* extensive collection of analysis tools&lt;br /&gt;
* coded in C&lt;br /&gt;
&lt;br /&gt;
Most force fields can be used, though it only comes natively with Gromos96 (ffG43, ffG53), OPLS-AA, Encad, and the &#039;&#039;deprecated&#039;&#039; Gromacs FF (&amp;quot;ffgmx&amp;quot; &amp;amp;ndash; don&#039;t use it!). The Charmm FF has also been ported.&lt;br /&gt;
&lt;br /&gt;
Gromacs is fairly easy to install and for Macs it is [http://pdb.finkproject.org/pdb/search.php?summary=gromacs contained] in the [http://fink.sourceforge.net/ Fink] distribution.&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
Gromacs comes with quite extensive [http://www.gromacs.org/content/view/13/27/ documentation] (accessible through their home page). Especially helpful are&lt;br /&gt;
* [http://www.gromacs.org/component/option,com_wrapper/Itemid,192/ Online Reference] manual&lt;br /&gt;
* [http://wiki.gromacs.org/ Gromacs Wiki]&lt;br /&gt;
* [http://www.gromacs.org/content/view/161/203/ Mailinglist archives]&lt;br /&gt;
&lt;br /&gt;
== Tutorials ==&lt;br /&gt;
* [http://www.gromacs.org/content/view/137/182/ Gromacs tutorials]&lt;br /&gt;
* [http://www.alchemistry.org/wiki/index.php/Gromacs_Tutorials Free energy calculations] with Gromacs (from [http://www.alchemistry.org alchemistry.org])&lt;br /&gt;
* See also the &amp;lt;tt&amp;gt;share/tutor&amp;lt;/tt&amp;gt; directory of the Gromacs distribution&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&amp;lt;biblio&amp;gt;&lt;br /&gt;
#Berendsen1995 H. J. C. Berendsen, D. van der Spoel, and R. van Drunen. &amp;lt;i&amp;gt;GROMACS: A message-passing parallel molecular dynamics implementation.&amp;lt;/i&amp;gt; Comp. Phys. Comm., 91:43–56, 1995.&lt;br /&gt;
#Lindahl2001 Erik Lindahl, Berk Hess, and David van der Spoel. &amp;lt;i&amp;gt;Gromacs 3.0: A package for molecular simulation and trajectory analysis.&amp;lt;/i&amp;gt; J. Mol. Mod., 7(8):306–317, 2001. doi:[http://dx.doi.org/10.1007/s008940100045 10.1007/s008940100045].&lt;br /&gt;
#vanderSpoel2005 pmid=16211538&lt;br /&gt;
#Kutzner2007 pmid=17405124&lt;br /&gt;
#Hess2008 B. Hess, C. Kutzner, D. van der Spoel, and E. Lindahl. &amp;lt;i&amp;gt;GROMACS 4: Algorithms for highly efficient, load-balanced, and scalable molecular simulation.&amp;lt;/i&amp;gt; J. Chem. Theo. Comp., 4(3):435–447, Feb 2008. doi:[http://dx.doi.org/10.1021/ct700301q 10.1021/ct700301q].&lt;br /&gt;
&amp;lt;/biblio&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:Gromacs]]&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Gromacs&amp;diff=80</id>
		<title>Gromacs</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Gromacs&amp;diff=80"/>
		<updated>2008-06-30T20:58:53Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: basic Gromacs stuff + refs (uff)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;[http://www.gromacs.org/ Gromacs]&#039;&#039;&#039; &amp;lt;cite&amp;gt;Berendsen1995, Lindahl2001, vanderSpoel2005, Hess2008&amp;lt;/cite&amp;gt; is a MD package developed in Groningen, Netherlands, which is published under the [http://www.gnu.org/copyleft/gpl.html GNU Public license]. It&#039;s [http://www.gromacs.org/features/index.php claim to fame] is&lt;br /&gt;
* raw speed (due to hand coded assembly inner loops and a few optimisations)&lt;br /&gt;
* extensive collection of analysis tools&lt;br /&gt;
* coded in C&lt;br /&gt;
&lt;br /&gt;
Most force fields can be used, though it only comes natively with Gromos96 (ffG43, ffG53), OPLS-AA, Encad, and the &#039;&#039;deprecated&#039;&#039; Gromacs FF (&amp;quot;ffgmx&amp;quot; &amp;amp;ndash; don&#039;t use it!). The Charmm FF has also been ported.&lt;br /&gt;
&lt;br /&gt;
Gromacs is fairly easy to install and for Macs it is [http://pdb.finkproject.org/pdb/search.php?summary=gromacs contained] in the [http://fink.sourceforge.net/ Fink] distribution.&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
Gromacs comes with quite extensive [http://www.gromacs.org/content/view/13/27/ documentation] (accessible through their home page). Especially helpful are&lt;br /&gt;
* [http://www.gromacs.org/component/option,com_wrapper/Itemid,192/ Online Reference] manual&lt;br /&gt;
* [http://wiki.gromacs.org/ Gromacs Wiki]&lt;br /&gt;
* [http://www.gromacs.org/content/view/161/203/ Mailinglist archives]&lt;br /&gt;
&lt;br /&gt;
== Tutorials ==&lt;br /&gt;
* [http://www.gromacs.org/content/view/137/182/ Gromacs tutorials]&lt;br /&gt;
* [http://www.alchemistry.org/wiki/index.php/Gromacs_Tutorials Free energy calculations] with Gromacs (from [http://www.alchemistry.org alchemistry.org])&lt;br /&gt;
* See also the &amp;lt;tt&amp;gt;share/tutor&amp;lt;/tt&amp;gt; directory of the Gromacs distribution&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&amp;lt;biblio&amp;gt;&lt;br /&gt;
#Berendsen1995 H. J. C. Berendsen, D. van der Spoel, and R. van Drunen. &amp;lt;i&amp;gt;GROMACS: A message-passing parallel molecular dynamics implementation.&amp;lt;/i&amp;gt; Comp. Phys. Comm., 91:43–56, 1995&lt;br /&gt;
#Lindahl2001 Erik Lindahl, Berk Hess, and David van der Spoel. &amp;lt;i&amp;gt;Gromacs 3.0: A package for molecular simulation and trajectory analysis.&amp;lt;/i&amp;gt; J. Mol. Mod., 7(8):306–317, 2001. doi:[http://dx.doi.org/10.1007/s008940100045 10.1007/s008940100045].&lt;br /&gt;
#vanderSpoel2005 pmid=16211538&lt;br /&gt;
#Kutzner2007 pmid=17405124&lt;br /&gt;
#Hess2008 B. Hess, C. Kutzner, D. van der Spoel, and E. Lindahl. &amp;lt;i&amp;gt;GROMACS 4: Algorithms for highly efficient, load-balanced, and scalable molecular simulation.&amp;lt;/i&amp;gt; J. Chem. Theo. Comp., 4(3):435–447, Feb 2008. doi:[http://dx.doi.org/10.1021/ct700301q 10.1021/ct700301q].&lt;br /&gt;
&amp;lt;/biblio&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:Gromacs]]&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Amber&amp;diff=79</id>
		<title>Amber</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Amber&amp;diff=79"/>
		<updated>2008-06-30T20:06:51Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: basic Amber stuff (mostly from Amber homepage)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;[http://amber.scripps.edu/ Amber]&#039;&#039;&#039; (Assisted Model Building with Energy Refinement) refers to two things: a set of [http://amber.scripps.edu/#ff molecular mechanical force fields] for the simulation of biomolecules &amp;lt;cite&amp;gt;Ponder2003,Cheatham2001&amp;lt;/cite&amp;gt; (which are in the public domain, and are used in a variety of simulation programs); and a [http://amber.scripps.edu/#code package of molecular simulation programs] &amp;lt;cite&amp;gt;Case2005&amp;lt;/cite&amp;gt; which includes source code and demos. The current version of the code is Amber version 10, which is distributed by UCSF subject to a [http://amber.scripps.edu/#obtain licensing agreement].&lt;br /&gt;
&lt;br /&gt;
Amber is now distributed in two parts: [http://amber.scripps.edu/#AmberTools AmberTools] and [http://amber.scripps.edu/#Amber10 Amber10]. You can use AmberTools without Amber10, but not vice versa.&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
== Tutorials ==&lt;br /&gt;
* [http://amber.scripps.edu/tutorials/ Beginners&#039; and Advanced Tutorials]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&amp;lt;biblio&amp;gt;&lt;br /&gt;
#Case2005 pmid=16200636&lt;br /&gt;
#Ponder2003 pmid=14631816&lt;br /&gt;
#Cheatham2001 pmid=11754338&lt;br /&gt;
&amp;lt;/biblio&amp;gt;&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=User:Orbeckst&amp;diff=78</id>
		<title>User:Orbeckst</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=User:Orbeckst&amp;diff=78"/>
		<updated>2008-06-30T19:47:04Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: Redirecting to User:Oliver&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;#REDIRECT [[User:Oliver]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Category:Python&amp;diff=77</id>
		<title>Category:Python</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Category:Python&amp;diff=77"/>
		<updated>2008-06-30T19:45:38Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: New page: python is a versatile scripting language, and hence it is a preferred tool for many tasks, especially analysis of MD simulations.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[python]] is a versatile scripting language, and hence it is a preferred tool for many tasks, especially [[analysis]] of MD simulations.&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Category:Statistics&amp;diff=76</id>
		<title>Category:Statistics</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Category:Statistics&amp;diff=76"/>
		<updated>2008-06-30T19:44:46Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: New page: Articles about statistical analysis.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Articles about statistical analysis.&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=R&amp;diff=75</id>
		<title>R</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=R&amp;diff=75"/>
		<updated>2008-06-30T19:43:15Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[http://www.r-project.org/ R] (also known as the &#039;&#039;&#039;R project&#039;&#039;&#039;) is a free software environment and language for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. &#039;&#039;R&#039;&#039; is a free implementation of the statistical programming language &#039;&#039;S&#039;&#039; and &#039;&#039;S-Plus&#039;&#039; developed at Bell labs on the 80-90s. It is object oriented and provides several tools for statistical analysis, however it can be used for data manipulation, calculation and graphical display as well. &lt;br /&gt;
&lt;br /&gt;
Notably, it can be used from [[python]] using &#039;&#039;&#039;[[rpy]]&#039;&#039;&#039; which makes all R functions available to python.&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Essential reading&lt;br /&gt;
&lt;br /&gt;
* [http://cran.r-project.org/doc/manuals/R-intro.html An introduction to R]&lt;br /&gt;
* [http://cran.r-project.org/doc/manuals/R-admin.html Installation and administration]&lt;br /&gt;
&lt;br /&gt;
Additional reading &lt;br /&gt;
&lt;br /&gt;
* [http://cran.r-project.org/manuals.html Manuals]&lt;br /&gt;
* [http://cran.r-project.org/faqs.html FAQ] &lt;br /&gt;
* [http://wiki.r-project.org/ Wiki]&lt;br /&gt;
* [http://www.r-project.org/doc/bib/R-books.html Books]&lt;br /&gt;
&lt;br /&gt;
== Installation ==&lt;br /&gt;
&lt;br /&gt;
First obtain R from one of the [http://cran.r-project.org/mirrors.html CRAN mirrors]. Or alternatively use one of the following links:&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/windows/base/release.htm Base for wintendo]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/linux/ Linux]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/macosx/ OS-X]&lt;br /&gt;
&lt;br /&gt;
Windows and Mac users most likely want the precompiled binaries listed above, not the source code. The sources have to be compiled before you can use them. If you do not know what this means, you probably do not want to do it!&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/src/base/R-latest.tar.gz Source code]&lt;br /&gt;
&lt;br /&gt;
Then follow the instructions in:&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Windows Windows]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Mac-OS-X OS-X]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Unix-alikes Proper *NIX]&lt;br /&gt;
&lt;br /&gt;
== Using R ==&lt;br /&gt;
&lt;br /&gt;
Probably the coolest &#039;&#039;feature&#039;&#039; in R is its object oriented design: almost everything is an object in &#039;&#039;R&#039;&#039;. Hierarchy, operator/function overcharge and OOP in general is highly and elegantly used, thus if you are familiar with OO languages you&#039;ll have a lot of fun.  &lt;br /&gt;
&lt;br /&gt;
=== Package management ===&lt;br /&gt;
&lt;br /&gt;
R is upgradeable via third-party packages. This packages can be updated/delete &#039;&#039;a la&#039;&#039; perl. That is, packages can be downloaded and installed from within R. First set the option CRAN to your nearest CRAN mirror using chooseCRANmirror(). Then download and install packages pkg1 and pkg2 by&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; install.packages(c(&amp;quot;pkg1&amp;quot;, &amp;quot;pkg2&amp;quot;))&lt;br /&gt;
&lt;br /&gt;
The essential dependencies of the specified packages will also be fetched. Unless the library is specified (argument lib) the first library in the library search path is used: if this is not writable, R will ask the user (in an interactive session) if the default user library should be created, and if allowed to will install the packages there.&lt;br /&gt;
&lt;br /&gt;
If you want to fetch a package and all those it depends on that are not already installed, use e.g.&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; install.packages(&amp;quot;Rcmdr&amp;quot;, dependencies = TRUE)&lt;br /&gt;
&lt;br /&gt;
In case you want to compile packages yourself use&lt;br /&gt;
 &lt;br /&gt;
    &amp;gt; install.packages(c(&amp;quot;pkg1&amp;quot;,...), type=&amp;quot;source&amp;quot;)    &lt;br /&gt;
&lt;br /&gt;
Removing packages is easy as well, from a running R process they can be removed by&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; remove.packages(c(&amp;quot;pkg1&amp;quot;, &amp;quot;pkg2&amp;quot;),&lt;br /&gt;
                       lib = file.path(&amp;quot;path&amp;quot;, &amp;quot;to&amp;quot;, &amp;quot;library&amp;quot;))&lt;br /&gt;
&lt;br /&gt;
The command &amp;lt;tt&amp;gt;update.packages()&amp;lt;/tt&amp;gt; is the simplest way to ensure that all the packages on your system are up to date.&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Add-on-packages More information on package installation]&lt;br /&gt;
&lt;br /&gt;
=== Data structures ===&lt;br /&gt;
&lt;br /&gt;
There are several different structures in R namely:&lt;br /&gt;
&lt;br /&gt;
 &#039;&#039;&#039;Numbers&#039;&#039;&#039; : 1,2,3,5,8 ... &lt;br /&gt;
 &#039;&#039;&#039;Vectors&#039;&#039;&#039; : myvec &amp;lt;- c(1,2,3)&lt;br /&gt;
 &#039;&#039;&#039;Matrices&#039;&#039;&#039; : x &amp;lt;- array(1:20, dim=c(4,5)) &#039;&#039;&#039;or&#039;&#039;&#039;  x &amp;lt;- matrix(c(1:20),4,5)&lt;br /&gt;
 &#039;&#039;&#039;Lists&#039;&#039;&#039; : Lst &amp;lt;- list(name=&amp;quot;Fred&amp;quot;, wife=&amp;quot;Mary&amp;quot;, no.children=3,&lt;br /&gt;
                   child.ages=c(4,7,9))&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Tables&#039;&#039;&#039; and &#039;&#039;&#039;Matrices&#039;&#039;&#039; are different structures and cannot be indistinctively used. Individual elements of an array, matrix or list can be accessed in a C-like way:&lt;br /&gt;
Thus for the examples above the individual elements can be accessed as:&lt;br /&gt;
&lt;br /&gt;
 myvec&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt; and is the number 2&lt;br /&gt;
 x&amp;lt;nowiki&amp;gt;[3,2]&amp;lt;/nowiki&amp;gt; and is the number 7&lt;br /&gt;
 Lst$name is the same as Lst&amp;lt;nowiki&amp;gt;[[1]]&amp;lt;/nowiki&amp;gt; and is the string &amp;quot;Fred&amp;quot;,&lt;br /&gt;
 Lst$wife is the same as Lst&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt; and is the string &amp;quot;Mary&amp;quot;,&lt;br /&gt;
 Lst$child.ages&amp;lt;nowiki&amp;gt;[1]&amp;lt;/nowiki&amp;gt; is the same as Lst&amp;lt;nowiki&amp;gt;[[4]][1]&amp;lt;/nowiki&amp;gt; and is the number 4. &lt;br /&gt;
&lt;br /&gt;
== Reading a file ==&lt;br /&gt;
&lt;br /&gt;
Say you have a file &#039;&#039;ufsr.plot&#039;&#039;, which is a two column file then you might want to read it as&lt;br /&gt;
&lt;br /&gt;
 filename=&amp;quot;ufsr.plot&amp;quot;&lt;br /&gt;
 mytable &amp;lt;- read.table(filename,header=FALSE)&lt;br /&gt;
 myvec1 &amp;lt;- mytable&amp;lt;nowiki&amp;gt;[[1]]&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
 myvec2 &amp;lt;- mytable&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
or alternatively &lt;br /&gt;
&lt;br /&gt;
 a=matrix(scan(filename,what=0),200,200,byrow=TRUE)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Emacs Speaks Statistics ==&lt;br /&gt;
&lt;br /&gt;
For emacs junkies. This package provides highlighting and other cool interfaces to R (and other statistical analysis packages) &lt;br /&gt;
&lt;br /&gt;
* [http://ess.r-project.org/ ESS]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Analysis]]&lt;br /&gt;
[[Category:Statistics]]&lt;br /&gt;
[[Category:Python]]&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Rpy&amp;diff=74</id>
		<title>Rpy</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Rpy&amp;diff=74"/>
		<updated>2008-06-30T19:42:43Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[http://rpy.sourceforge.net/ rpy] is a [[python]] interface to the statistics package [[R]].&lt;br /&gt;
&lt;br /&gt;
* [http://rpy.sourceforge.net/documentation.html Documentation]&lt;br /&gt;
* [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/lin_reg/  Using Python (and R) to calculate Linear Regressions]&lt;br /&gt;
&lt;br /&gt;
An example to plot a [http://www.sciencemag.org/cgi/content/full/319/5871/1772 heat map], based on a very nice [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/heatmap/#Python example of how to use R from python to draw a heat map from micro array data].&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;python&amp;gt;from rpy import r&lt;br /&gt;
import numpy&lt;br /&gt;
data = numpy.random.randn(100,30)  # fake data&lt;br /&gt;
&lt;br /&gt;
r.X11()  # use windowing system X11&lt;br /&gt;
r.heatmap(a)&lt;br /&gt;
&amp;lt;/python&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Image:Hm_gauss2.png|thumb|Example heat map from a Gaussian (mean=0, sd=1) 100x30 matrix of fake data.]]&lt;br /&gt;
&lt;br /&gt;
Using an appropriate output device (pdf, png, ...) one can directly produce publication-quality images:&lt;br /&gt;
&amp;lt;python&amp;gt;r.library(&#039;gplots&#039;)  # loads a library for heatmap.2&lt;br /&gt;
r.pdf(&#039;hm_gauss2.pdf&#039;)  # output to file&lt;br /&gt;
r.heatmap_2(a,col=r.topo_colors(100),trace=&amp;quot;none&amp;quot;) # plot heatmap&lt;br /&gt;
r.dev_off()  # close file output&lt;br /&gt;
&amp;lt;/python&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Category:Analysis]]&lt;br /&gt;
[[Category:Statistics]]&lt;br /&gt;
[[Category:Python]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Rpy&amp;diff=73</id>
		<title>Rpy</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Rpy&amp;diff=73"/>
		<updated>2008-06-30T19:41:32Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: from Woolf Wiki&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[http://rpy.sourceforge.net/ rpy] is a [[python]] interface to the statistics package [[R]].&lt;br /&gt;
&lt;br /&gt;
* [http://rpy.sourceforge.net/documentation.html Documentation]&lt;br /&gt;
* [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/lin_reg/  Using Python (and R) to calculate Linear Regressions]&lt;br /&gt;
&lt;br /&gt;
An example to plot a [http://www.sciencemag.org/cgi/content/full/319/5871/1772 heat map], based on a very nice [http://www2.warwick.ac.uk/fac/sci/moac/currentstudents/peter_cock/python/heatmap/#Python example of how to use R from python to draw a heat map from micro array data].&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;python&amp;gt;from rpy import r&lt;br /&gt;
import numpy&lt;br /&gt;
data = numpy.random.randn(100,30)  # fake data&lt;br /&gt;
&lt;br /&gt;
r.X11()  # use windowing system X11&lt;br /&gt;
r.heatmap(a)&lt;br /&gt;
&amp;lt;/python&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Image:Hm_gauss2.png|thumb|Example heat map from a Gaussian (mean=0, sd=1) 100x30 matrix of fake data.]]&lt;br /&gt;
&lt;br /&gt;
Using an appropriate output device (pdf, png, ...) one can directly produce publication-quality images:&lt;br /&gt;
&amp;lt;python&amp;gt;r.library(&#039;gplots&#039;)  # loads a library for heatmap.2&lt;br /&gt;
r.pdf(&#039;hm_gauss2.pdf&#039;)  # output to file&lt;br /&gt;
r.heatmap_2(a,col=r.topo_colors(100),trace=&amp;quot;none&amp;quot;) # plot heatmap&lt;br /&gt;
r.dev_off()  # close file output&lt;br /&gt;
&amp;lt;/python&amp;gt;&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=R&amp;diff=72</id>
		<title>R</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=R&amp;diff=72"/>
		<updated>2008-06-30T19:40:31Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: from Woolf Wiki (main author Juan R Perilla)&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[http://www.r-project.org/ R] (also known as the &#039;&#039;&#039;R project&#039;&#039;&#039;) is a free software environment and language for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. &#039;&#039;R&#039;&#039; is a free implementation of the statistical programming language &#039;&#039;S&#039;&#039; and &#039;&#039;S-Plus&#039;&#039; developed at Bell labs on the 80-90s. It is object oriented and provides several tools for statistical analysis, however it can be used for data manipulation, calculation and graphical display as well. &lt;br /&gt;
&lt;br /&gt;
Notably, it can be used from [[python]] using &#039;&#039;&#039;[[rpy]]&#039;&#039;&#039; which makes all R functions available to python.&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Essential reading&lt;br /&gt;
&lt;br /&gt;
* [http://cran.r-project.org/doc/manuals/R-intro.html An introduction to R]&lt;br /&gt;
* [http://cran.r-project.org/doc/manuals/R-admin.html Installation and administration]&lt;br /&gt;
&lt;br /&gt;
Additional reading &lt;br /&gt;
&lt;br /&gt;
* [http://cran.r-project.org/manuals.html Manuals]&lt;br /&gt;
* [http://cran.r-project.org/faqs.html FAQ] &lt;br /&gt;
* [http://wiki.r-project.org/ Wiki]&lt;br /&gt;
* [http://www.r-project.org/doc/bib/R-books.html Books]&lt;br /&gt;
&lt;br /&gt;
== Installation ==&lt;br /&gt;
&lt;br /&gt;
First obtain R from one of the [http://cran.r-project.org/mirrors.html CRAN mirrors]. Or alternatively use one of the following links:&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/windows/base/release.htm Base for wintendo]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/linux/ Linux]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/bin/macosx/ OS-X]&lt;br /&gt;
&lt;br /&gt;
Windows and Mac users most likely want the precompiled binaries listed above, not the source code. The sources have to be compiled before you can use them. If you do not know what this means, you probably do not want to do it!&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/src/base/R-latest.tar.gz Source code]&lt;br /&gt;
&lt;br /&gt;
Then follow the instructions in:&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Windows Windows]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Mac-OS-X OS-X]&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Installing-R-under-Unix-alikes Proper *NIX]&lt;br /&gt;
&lt;br /&gt;
== Using R ==&lt;br /&gt;
&lt;br /&gt;
Probably the coolest &#039;&#039;feature&#039;&#039; in R is its object oriented design: almost everything is an object in &#039;&#039;R&#039;&#039;. Hierarchy, operator/function overcharge and OOP in general is highly and elegantly used, thus if you are familiar with OO languages you&#039;ll have a lot of fun.  &lt;br /&gt;
&lt;br /&gt;
=== Package management ===&lt;br /&gt;
&lt;br /&gt;
R is upgradeable via third-party packages. This packages can be updated/delete &#039;&#039;a la&#039;&#039; perl. That is, packages can be downloaded and installed from within R. First set the option CRAN to your nearest CRAN mirror using chooseCRANmirror(). Then download and install packages pkg1 and pkg2 by&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; install.packages(c(&amp;quot;pkg1&amp;quot;, &amp;quot;pkg2&amp;quot;))&lt;br /&gt;
&lt;br /&gt;
The essential dependencies of the specified packages will also be fetched. Unless the library is specified (argument lib) the first library in the library search path is used: if this is not writable, R will ask the user (in an interactive session) if the default user library should be created, and if allowed to will install the packages there.&lt;br /&gt;
&lt;br /&gt;
If you want to fetch a package and all those it depends on that are not already installed, use e.g.&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; install.packages(&amp;quot;Rcmdr&amp;quot;, dependencies = TRUE)&lt;br /&gt;
&lt;br /&gt;
In case you want to compile packages yourself use&lt;br /&gt;
 &lt;br /&gt;
    &amp;gt; install.packages(c(&amp;quot;pkg1&amp;quot;,...), type=&amp;quot;source&amp;quot;)    &lt;br /&gt;
&lt;br /&gt;
Removing packages is easy as well, from a running R process they can be removed by&lt;br /&gt;
&lt;br /&gt;
     &amp;gt; remove.packages(c(&amp;quot;pkg1&amp;quot;, &amp;quot;pkg2&amp;quot;),&lt;br /&gt;
                       lib = file.path(&amp;quot;path&amp;quot;, &amp;quot;to&amp;quot;, &amp;quot;library&amp;quot;))&lt;br /&gt;
&lt;br /&gt;
The command &amp;lt;tt&amp;gt;update.packages()&amp;lt;/tt&amp;gt; is the simplest way to ensure that all the packages on your system are up to date.&lt;br /&gt;
&lt;br /&gt;
* [http://lib.stat.cmu.edu/R/CRAN/doc/manuals/R-admin.html#Add-on-packages More information on package installation]&lt;br /&gt;
&lt;br /&gt;
=== Data structures ===&lt;br /&gt;
&lt;br /&gt;
There are several different structures in R namely:&lt;br /&gt;
&lt;br /&gt;
 &#039;&#039;&#039;Numbers&#039;&#039;&#039; : 1,2,3,5,8 ... &lt;br /&gt;
 &#039;&#039;&#039;Vectors&#039;&#039;&#039; : myvec &amp;lt;- c(1,2,3)&lt;br /&gt;
 &#039;&#039;&#039;Matrices&#039;&#039;&#039; : x &amp;lt;- array(1:20, dim=c(4,5)) &#039;&#039;&#039;or&#039;&#039;&#039;  x &amp;lt;- matrix(c(1:20),4,5)&lt;br /&gt;
 &#039;&#039;&#039;Lists&#039;&#039;&#039; : Lst &amp;lt;- list(name=&amp;quot;Fred&amp;quot;, wife=&amp;quot;Mary&amp;quot;, no.children=3,&lt;br /&gt;
                   child.ages=c(4,7,9))&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Tables&#039;&#039;&#039; and &#039;&#039;&#039;Matrices&#039;&#039;&#039; are different structures and cannot be indistinctively used. Individual elements of an array, matrix or list can be accessed in a C-like way:&lt;br /&gt;
Thus for the examples above the individual elements can be accessed as:&lt;br /&gt;
&lt;br /&gt;
 myvec&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt; and is the number 2&lt;br /&gt;
 x&amp;lt;nowiki&amp;gt;[3,2]&amp;lt;/nowiki&amp;gt; and is the number 7&lt;br /&gt;
 Lst$name is the same as Lst&amp;lt;nowiki&amp;gt;[[1]]&amp;lt;/nowiki&amp;gt; and is the string &amp;quot;Fred&amp;quot;,&lt;br /&gt;
 Lst$wife is the same as Lst&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt; and is the string &amp;quot;Mary&amp;quot;,&lt;br /&gt;
 Lst$child.ages&amp;lt;nowiki&amp;gt;[1]&amp;lt;/nowiki&amp;gt; is the same as Lst&amp;lt;nowiki&amp;gt;[[4]][1]&amp;lt;/nowiki&amp;gt; and is the number 4. &lt;br /&gt;
&lt;br /&gt;
== Reading a file ==&lt;br /&gt;
&lt;br /&gt;
Say you have a file &#039;&#039;ufsr.plot&#039;&#039;, which is a two column file then you might want to read it as&lt;br /&gt;
&lt;br /&gt;
 filename=&amp;quot;ufsr.plot&amp;quot;&lt;br /&gt;
 mytable &amp;lt;- read.table(filename,header=FALSE)&lt;br /&gt;
 myvec1 &amp;lt;- mytable&amp;lt;nowiki&amp;gt;[[1]]&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
 myvec2 &amp;lt;- mytable&amp;lt;nowiki&amp;gt;[[2]]&amp;lt;/nowiki&amp;gt;&lt;br /&gt;
&lt;br /&gt;
or alternatively &lt;br /&gt;
&lt;br /&gt;
 a=matrix(scan(filename,what=0),200,200,byrow=TRUE)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Emacs Speaks Statistics ==&lt;br /&gt;
&lt;br /&gt;
For emacs junkies. This package provides highlighting and other cool interfaces to R (and other statistical analysis packages) &lt;br /&gt;
&lt;br /&gt;
* [http://ess.r-project.org/ ESS]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Analysis]]&lt;br /&gt;
[[Category:Statistics]]&lt;br /&gt;
[[Category:Python]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Visualization_software&amp;diff=71</id>
		<title>Visualization software</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Visualization_software&amp;diff=71"/>
		<updated>2008-06-30T19:35:19Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: /* Molecules in 3D */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page collects software that we find useful to display data from running molecular simulations. A special section is dedicated to [[#Rendering|Render]] software that create photorealistic or artistic images from scenes exported from other visualization software.&lt;br /&gt;
&lt;br /&gt;
== Molecules in 3D ==&lt;br /&gt;
* [[VMD]]; also has extensive analysis and model building capabilities&lt;br /&gt;
* [[pyMol]]&lt;br /&gt;
* [[chimera]]&lt;br /&gt;
* [[yasara]]&lt;br /&gt;
* [[QuteMol]]&lt;br /&gt;
* [[pyQuteMol]]&lt;br /&gt;
&lt;br /&gt;
== 1D and 2D data ==&lt;br /&gt;
* [[xfarbe]], a simple 2D plotter&lt;br /&gt;
* [[xmgrace]], for 1D plots and some graph analysis&lt;br /&gt;
* gnuplot&lt;br /&gt;
* [[matplotlib]], a python based scientific plotting library&lt;br /&gt;
* [[R]]&lt;br /&gt;
&lt;br /&gt;
== 3D data ==&lt;br /&gt;
To display 3D data such as densities, you can use a typically insanely powerful 3D visualization package; see for instance this list of [http://prism.dkrz.de/Workpackages/WP4a/Low-End/Packages/WP4a_Low-End_graphic_packages.html graphics packages].&lt;br /&gt;
* [http://www.opendx.org/ OpenDX]: list of [http://www.opendx.org/support.html documentation] and [http://opendx.sdsc.edu/docs/html/pages/usrgu068.htm#HDREDF native DX file format]&lt;br /&gt;
* viewers based on [http://www.vtk.org/ VTK] such as [http://mayavi.sourceforge.net/ MayaVi]&lt;br /&gt;
* [[VMD]] and [[Chimera]]&lt;br /&gt;
&lt;br /&gt;
== Rendering ==&lt;br /&gt;
* [[Raster3D]] (the renderer can be called from [[VMD]]) and VMD&#039;s [[VMD#Tachyon|Tachyon]].&lt;br /&gt;
* [[Gelato]]&lt;br /&gt;
* [[Pixie]], a Renderman-compatible shader&lt;br /&gt;
&lt;br /&gt;
[[Category:Visualization]]&lt;br /&gt;
[[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Biowerkzeug_Wiki:Site_support&amp;diff=70</id>
		<title>Biowerkzeug Wiki:Site support</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Biowerkzeug_Wiki:Site_support&amp;diff=70"/>
		<updated>2008-06-30T19:33:54Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: main commercial site is .com&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;If you are a company and you want to purchase a license for [[Hippo]] then please proceed to [http://www.biowerkzeug.com/ biowerkzeug.com].&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;biowerkzeug community&#039;&#039; is free and considers your contribution to it the most valuable payment.&lt;br /&gt;
&lt;br /&gt;
Thank you for visiting.&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
	<entry>
		<id>https://biowerkzeug.org/index.php?title=Molecular_dynamics&amp;diff=69</id>
		<title>Molecular dynamics</title>
		<link rel="alternate" type="text/html" href="https://biowerkzeug.org/index.php?title=Molecular_dynamics&amp;diff=69"/>
		<updated>2008-06-30T19:31:55Z</updated>

		<summary type="html">&lt;p&gt;Orbeckst: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Simulating the motion of molecules by iteratively solving [[Newton&#039;s equations of motion]].&lt;br /&gt;
&lt;br /&gt;
= Integrators =&lt;br /&gt;
* [[Verlet]]&lt;br /&gt;
* [[Velocity Verlet]]&lt;/div&gt;</summary>
		<author><name>Orbeckst</name></author>
	</entry>
</feed>