SMS: Smart Model Selection in PhyML




SMS (Smart Model Selection) automatically selects the best-fitting evolutionary model for an alignment of DNA or protein sequences. It compares substitution models using the AIC or BIC statistical criteria to support phylogenetic tree reconstruction with PhyML.


SMS: Smart Model Selection in PhyML online execution

Input data
Drag and drop a file or click to browse.
No file selected
Alignment in PHYLIP format.
Character type contained in the alignment.
Model selection
Statistical criterion to rank candidate models.

CompPhy

CompPhy

CompPhy: a web-based collaborative platform for comparing phylogenies CompPhy is a web platform dedicated to the collaborative handling of phylogenetic trees. Users can freely manage collections of trees and communicate on a common project. By collaborative, we mean that several users connected to the same project can manipulation at the same time trees from shared…

Data visualisation Phylogenomics Phylogeny Phylogenetic analysis Phylogenetic sub/super tree construction Phylogenetic tree editing Gene tree newick Nexus format
FastME

FastME

FastME is a software package for the fast and accurate inference of phylogenetic trees from distance matrices. It implements algorithms based on the Balanced Minimum Evolution (BME) principle, a distance-based criterion closely related to the Neighbor Joining (NJ) method. The goal of the BME framework is to identify the phylogenetic tree that minimizes the total…

RSCU_RS: Measuring the bias in codon usage from ribosomal activity

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…

Bioinformatics Comparative genomics Computational biology Codon usage analysis Codon usage bias Expression data RNA sequence BAM
⚠️ High demand - longer job waiting times Our computing cluster is currently under heavy load, so submitted jobs may take longer than usual to start. We expect waiting times to return to normal soon. Thank you for your patience and understanding!