PhyML
Overview: new algorithms, methods and utilities
PhyML is a software package that uses modern statistical approaches to build phylogenetic trees from the analysis of alignments of nucleotide or amino acid sequences. The main tool in this package builds phylogenies under the maximum likelihood criterion. It implements a large number of substitution models coupled to efficient options to search the space of phylogenetic tree topologies.
The version that you can try inline on this page is PhyML 3.3. You can get and install it by downloading the code from https://github.com/stephaneguindon/phyml/.
Installation
Get the latest version !
You would find all PhyML releases here : https://github.com/stephaneguindon/phyml/releases
After unpacking the archive, go into the phyml/ folder and type the following command:
sh ./autogen.sh;
If you are using a Mac computer or running a Unix-like operating system, you will need to install the packages autoconf automake and pkg-config. On a Mac, the following command should set you up (provided Homebrew is installed on your Mac…): brew install pkg-config autoconf automake;
Next, to install any program that is part of the PhyML package, type the following commands:
./configure --enable-phyml;
make;
To compile a Windows executable, install MinGW and run:
./configure --enable-win --enable-phyml;
make;
To install the MPI version of PhyML, type the following commands:
autoreconf -i;
./configure --enable-phyml-mpi;
make;
PhyML online execution
Other tools
TFscope
Characterizing the binding preferences of transcription factors (TFs) in different cell types and conditions is key to understand how they orchestrate gene expression. TFscope is a machine learning approach that identifies sequence features explaining the binding differences observed between two ChIP-seq experiments targeting either the same TF in two conditions or two TFs with similar…
RSCU_RS: Measuring the bias in…
Overview Overview: In the protein coding sequences of a species, the 61 possible codons of the genetic code are not equally distributed. This observation is referred to as the Codon Usage Bias (CUB) of a species. Several measures have been proposed to quantify the CUB using the frequencies of codons in all RNA coding sequences…
DExTER
Overview DExTER (Domain Exploration To Explain gene Regulation) is a bioinformatics tool designed to automatically identify genomic regions whose nucleotide composition correlates with gene expression levels. Unlike traditional approaches focusing on short transcription factor binding sites (6-12 bp), DExTER detects Long Regulatory Elements (LREs) that can span tens to hundreds of nucleotides. This makes it…