phylogenetics

Building a phylogenetic tree from an unaligned FASTA file involves running an end-to-end pipeline that executes multiple sequence alignment, tree inference with bootstrap support, and visualization to produce a rooted tree.

You should use FastTree for phylogenetic analysis when working with large datasets that require faster processing, whereas IQ-TREE 2 is used for maximum-likelihood tree inference with rigorous bootstrap support on standard nucleotide and amino-acid datasets.

Yes, a Python environment with ete3 is required to visualize evolutionary trees, as it provides the visualization framework for interpreting the inferred phylogenetic relationships from sequence data.

Yes, you can use this phylogenetic pipeline for viral phylodynamics and microbial genomics, as it supports scalable analysis workflows for reconstructing evolutionary relationships across nucleotide and amino-acid datasets.

The best way to perform multiple sequence alignment for phylogeny reconstruction is using MAFFT, which provides accurate alignment of nucleotide and amino-acid sequences as the foundational step before tree inference.

Yes, maximum-likelihood tree inference with IQ-TREE 2 includes model testing and bootstrap support to ensure robust reconstruction of evolutionary relationships from biological sequence data.