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

Search MagazineJune 18, 2019
Connected through Science
When Isabelle Chen, a senior at The Ethel Walker School in Simsbury, Conn., met Ann Bresnahan ‘69 during a science alumnae panel discussion at Bresnahan’s 50-year high school reunion, the two knew that they shared a passion for science.
Featured ArticleMay 29, 2019
Making a community impact beyond the bench
A JAX postdoctoral associate was recently awarded a fellowship in Science Policy from the Society for Industrial and Applied Mathematics that will allow him to advocate for support of science research with federal officials and congressional staff.
Research HighlightMay 20, 2019
Revealing cellular traits, one cell at a time
Scientists have developed an expanded toolkit that enables investigations of cellular traits at the single cell level at an unprecedented level of detail.
Press ReleaseApril 16, 2019
A thorough characterization of structural variants in human genomes
A recent study used multiple advanced technologies to dive deeper into the human genome than ever before to comprehensively characterize the structural variants present in three families, and what their functional consequences might be.

Tech CornerJune 17, 2019
The genome of Eve (the mouse)
C57BL/6—aka Black 6—is the most widely used mouse strain in research. Its reference genome was published in 2003 and has been carefully curated over the years since.
Search MagazineMay 22, 2019
JAX scientists speak out on the crisis of opioid addiction
JAX scientists are intensifying their efforts to shed light on the genetic and neurobiological causes of addiction, along with the impact of environmental influences.
Research HighlightMay 02, 2019
How can we take full advantage of EHR Data?
There has been an explosion of digital medical data in recent years, taking many forms. Much of the most valuable data—clinical patient data—is currently stored in electronic health record (EHR) systems, providing a theoretical gold mine for large-scale integration and analyses of patient traits, diseases, treatments, progression over time, outcomes and more.
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.

RFR-PEL

Faculty & Staff

Duygu Ucar, Ph.D.

Connected through Science

Making a community impact beyond the bench

Revealing cellular traits, one cell at a time

A thorough characterization of structural variants in human genomes

The genome of Eve (the mouse)

JAX scientists speak out on the crisis of opioid addiction

How can we take full advantage of EHR Data?

A closer look at structural variants in the genome