Contact: Dr. Maria Anisimova
The availability of large molecular data demands accurate and fast bioinformatics methods to analyze these data. Molecular sequences of common origin are used to infer phylogenetic trees, which help to test various biological hypotheses or to support subsequent analyses. Phylogeny inference relies on sequence alignments, which are usually inferred during a heuristic search navigated by a guide-tree. This circularity calls for methods for joint inference of phylogeny and alignment. This project will develop a fast and practical solution.
The goal is to develop a fast and accurate joint alignment and tree inference algorithm in the frequentist framework, which will be implemented in a user-friendly software package and applicable to large genomic and metagenomic datasets with of sequences.
Read more about the project