Mots-Clés
genomics
machine learning
evolution
genetic variations
long read
Description
The Computational Genomics Research Lab (https://CGRLab.github.io/research/ ) is looking for two postdocs to join exciting projects at the intersection of genomics and data science.
Research project 1. Only 2% of the human genome sequence codes for proteins, while most of it consists of noncoding sequences, with important roles in gene expression, cellular function, and development. In this project, we will conduct a comparative study of noncoding genomic regions. The candidate will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data.
Research project 2. This interdisciplinary project focuses on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype phasing in humans and other species. In this project, we aim to develop machine learning models to advance the characterization of genetic variations.
Research project 3. De novo genes are genes that arise from previously non-coding DNA rather than being inherited from an existing gene during the course of evolution. They are important because they can introduce new functions and contribute to the evolution and adaptation of organisms. We will develop methods to study how de novo genes evolve in eukaryotes.
Apply here: https://CGRLab.github.io/join/