RFR-PEL

RFR-PEL (Random Forest Regression for Epigenetic Length prediction) is data and experimental code for analyses of epigenetic markers domain lengths. Data sets are available in ''data'' folder as CSV files. Analyses were done in Python, they are presented as Jupyter notebooks.

Github site

Research HighlightMarch 12, 2019
A closer look at structural variants in the genome
A recent Cell paper uses long-read DNA sequencing and other advanced genomics tools and methods to shed light on genomic structural variants.
Research HighlightMarch 08, 2019
Breaking up is hard to do
New research shows that proteins work together to enable DNA double-strand breaks during meiosis.
- Reproductive Biology
- Genetics and Genomics
Research HighlightFebruary 28, 2019
Two proteins essential for layered sterocilia elongation in the inner-ear
A research team led by Basile Tarchini has found two new proteins that are essential to the correct elongation of stereocilia, tiny hair-like cellular protrusions in the inner ear.
Search MagazineFebruary 11, 2019
The engines of genetic diversity
JAX Assistant Professor Beth Dumont, Ph.D., is working to better understand the processes that give rise to genetic diversity, and how specific variations can contribute to disease susceptibility.

Research HighlightMarch 08, 2019
Long-range connectivity and gene regulation networks
A complicated three-dimensional network involving proteins and specific DNA sequences helps regulate the expression of genes. New work led by JAX’s Chia-Lin Wei shows how one protein, SOX2, plays a significant role in neural stem cells, affecting many aspects of development and function.
Press ReleaseMarch 05, 2019
3D genomics one nucleus at a time
Supported by a recent four-year, $2.3M grant from the National Institute of General Medical Sciences, Wei is looking to develop a method for chromatin interaction analysis in single nuclei, with single-molecule resolution.
- Genetic Tools
- Genetics and Genomics
Press ReleaseFebruary 18, 2019
A crystal ball for looking at the complexity of the 3D genome
A team led by Jackson Laboratory Professor Yijun Ruan, Ph.D., has developed a new method, called ChIA-Drop, that allows researchers to investigate 3D genomic structures with unprecedented precision and clarity.
Research HighlightJanuary 16, 2019
The rapid evolution of cancer cells under attack
Using PDX mouse models, JAX Associate Professor Jeff Chuang has tracked the evolution of triple negative breast cancer cells following administration of common forms of chemotherapy.

RFR-PEL

Faculty & Staff

Duygu Ucar, Ph.D.

A closer look at structural variants in the genome

Breaking up is hard to do

Two proteins essential for layered sterocilia elongation in the inner-ear

The engines of genetic diversity

Long-range connectivity and gene regulation networks

3D genomics one nucleus at a time

A crystal ball for looking at the complexity of the 3D genome

The rapid evolution of cancer cells under attack