Jdk 8uversion Macosx Amd64 Dmg
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You will find here tutorials describing use cases of RAPPAS as well as comments on the different analysis options it provides. All tutorials are valid for a UNIX or MAC operating system.
RAPPAS can be installed and run on Windows but you will need to adapt the commands accordingly.
A. Detailed Installation
B. Tutorials
C. A non-exhaustive list of other software related to phylogenetic placements
Prerequisites
- RAPPAS compilation requires a clean JDK 1.8 javac compiler installation. Java >=1.8 is a compulsory requirement as some operations are based on Lambda expressions.
- Apache Ant is used to facilitate the compilation.
Debian distributions (Debian, Ubuntu, Mint ..)
1. If not already done, please install the Java JDK libraries
Using OpenJDK 1.8:
Using the proprietary Oracle JDK 1.8:
2. Install Apache Ant
If everything went fine in steps 1 and 2, the command java -version
should return lines similar to:
3. Download and build RAPPAS
4. Test RAPPAS executable
If everything went fine, you should be able to launch RAPPAS.A simple test can be to display its help page:java -jar dist/RAPPAS.jar -h
Note: java -jar XXX.jar
calls the java interpreter on a jar archive. Any RAPPAS command-line option must appear after these elements.
MAC OS
1. If not already done, please install the Java JDK libraries
Download the JDK from the Oracle JDK 8 webpage.
2. Unpack the jdk
Cached
By running the file jdk-8uxxx-macosx-x64.dmg
. Geetha govindam subtitles download srt. Your JDK is installed. Note that you may have to explicitely export the JDK with the command:export JAVA_HOME=/Library/Internet Plug-Ins/JavaAppletPlugin.plugin/Contents/Home
To avoid to reproduced this step, just add this line in your bash profile.
If everything went fine, the command java -v
should return lines similar to:
3. Build the Ant package*Ant is bundle with the latest version of MAC OS. But if you need to install it:
4. Download and build RAPPAS
5. Test RAPPAS executable
If everything went fine, you should be able to launch RAPPAS.A simple test can be to display its help page:java -jar dist/RAPPAS.jar -h
Note: java -jar XXX.jar
calls the java interpreter on a jar archive. Any RAPPAS command-line option must appear after these elements.
Tutorial n°1: Accurate placement of Hepathitis C Virus
Tutorial n°2: Diversity estimation based on 16S rRNAs barcodes
This tutorial is an analogue to the tutorial provided on this page.It represents a typical case of bacterial community analysis.
- The reference tree contains 652 bacterial taxa and is built from the alignment of their 16S rRNA genes (a classical barcode in bacterial metagenomics). It was retrieved from (link).
- The sample is a collection of millions of real-world amplicons of 150bp (typically generated during a metabarcoding experiment). These were retrieved from the Earth Mi-crobiome Project (Thompson et al., 2017) via the European Nucleotide Archive (Silvester et al., 2018) using custom scripts from github.com/biocore/emp.
The main steps of the approach are:
- Build a RAPPAS database from the reference tree.
- Place 1 million amplicons on this reference.
- Produce a diversity measure from the placements.
- Optionnally, visualise the placements in iTOL.
1. Download and build RAPPAS
2. Build the RAPPAS Database
Comments on commend-line parameters:
- The '-Xmx' option: sets the maximum amount of memory that can be accessed by the process. For instance, -Xmx1024m allocated a maximum of 1Gb, -Xmx16G wouls allow a maximum of 16Gb ..
- The 'w' option: sets the working directory, in this directory are created temporary and log files related to the database construction. At the end, the database file itself is also created in this directory.
- Impact of the '-k' parameter: higher values of k involve higher memory requirement (adapt the Xmx option accordingly). The impact of the size of k is reference dataset dependant, but for classical taxonomic markers (16S rRNAS, cox1, rbcl..) we observed very limited differences between different values of k (see RAPPAS manuscript). k=8 is default and should be fine for many applications.
- The '-b' option: sets the path to the binary of PhyML or PAML which is called during the step of ancestral sequence reconstruction. In our tests, PhyML was much faster than PAML but requires more memory. We recommend to use PhyML in most cases and try PAML only when very large reference trees and long reference alignments are considered.
3. Place a sample of 1,000,000 amplicons
Comments on command-line parameters:
Determining The Installed Version Of TheJRE
- The '-d' options: sets the path to the RAPPAS database file, created during the previous operation.
This produces a 'sample.fasta.jplace' file in the '/log' directory of the working directory (option -w).The 'jplace' format has a published file specification (manuscript).The result file can be consequently loaded in many external software allowing the exploitation of the placement results.
4. Basic diversity analysis
In this example, the exploitation of phylogenetic placement results is based on the GUPPY package. It allows to produce different diversity indexes (OTU alpha diversity, Unifrac-like measures..).To know more about the statistics behind these measure, please read the documentation of Masten and Gallagher.
This package is only one of the possible package dedicated to the analysis of phylogenetic placement results.Visit the bottom of this page to find a more extensive list of packages in different languages (R, C++, ..). /download-solucionario-de-mecanica-de-fluidos-streeter-9-edicion-pdf.html.
Note that the commands below are valid in Linux, build equivalent commands if you are in MAC OS.The package is written in Python.
Placement post-analysis
Package | Website | Language | jplace manipulation | Distance measures | Plots and figures |
---|---|---|---|---|---|
GUPPY | link | Python | X | X | |
Genesis | link | C++ | X | X | X |
BoSSA | link | R | X | X | |
gappa | link | C++ | X | X | X |
Placement visualisation
Package | Website | Language | Interactive tree interface | Figure generation |
---|---|---|---|---|
iTol | link | website | X | X |
ggtree | link | R | X | |
BoSSA | link | R | X |
Alternatives to RAPPAS
Jdk 8uversion Mac Os X Amd64 Dmg High Sierra
Package | Website | Language | Alignment-free | Scalable to NGS |
---|---|---|---|---|
RAPPAS | link | Java | X | X |
EPA (RAxML) | link | C | ||
PPlacer | link | C | ||
EPA-ng | link | C++ | X |