Develop new quantitative modeling methods and advanced computational approaches to advance understanding of biological systems and improve human health.

It is widely anticipated that quantitative modeling, advanced computing and data science will transform the biomedical research enterprise and practice of medicine in the coming decades as fundamentally as biochemistry and molecular biology transformed it during the past century. With leading researchers from seven institutions, the Quantitative & Computational Biosciences Graduate Program brings together the resources of the Texas Medical Center -- the world's largest complex of biomedical research institutions and hospitals, Rice University and neighboring institutions -- to discover new biomedical knowledge and improve human health. 

Golding Group 1 (372x158)


Our full-time faculty includes basic and clinical scientists from seven institutions -- Baylor College of Medicine, Methodist Research Institute, Rice University, University of Houston, University of Texas Health Science Center, University of Texas Medical Branch at Galveston and University of Texas MD Anderson Cancer Center.

Diverse Backgrounds, Diverse Research Interests, Diverse Career Goals (372x158)

Where Will Your Ph.D. Take You?

From day one, we encourage you to think deeply about your career choices. Wherever your ambition leads, you will receive the support you need to follow a path well worn by our alumni who have built successful careers across diverse endeavors. 

QCB News

credit: Image courtesy of Cell Reports, 2018/Zhang, et al.
What altered gene regulatory regions can do for cancer

Cancer may develop because of mutations that happen within a protein-coding gene and, as a result, knock out or modify that protein’s function. Cancer also may happen because of structural rearrangements, which are pieces of DNA that jump from one part of the genome to another causing rearrangement of many genes. Structural rearrangements can occur within protein-coding genes and alter the protein’s function. BCM researchers are investigating how common structural rearrangements that result in cancer are.

Research reveals gene regulation can be digital or stochastic

The epigenome is to a large extent encoded as a set of cell-type specific chemical modifications of DNA called DNA methylations. In a study published in the journal Science, a team of researchers discovered that DNA methylation involved in gene regulation is largely digital and stochastic, with maternal and paternal copies of genes in each cell being on or off a certain fraction of time. Dr. Vitor Onuchic worked on this study while a graduate student in the QCB Program.

credit: National Human Genome Research Institute/Darryl Leja
Genetic diversity in Africa greater than in any other region in the world

Looking at a subset of HIV-positive children from Botswana, an international team of researchers, co-led by scientists from Baylor College of Medicine, characterized the genetic variation of the population and gained insight into genetic variations that may be important to disease progression.

Sorting out what drives Huntington’s disease

Neurological diseases are typically associated with a multitude of molecular changes. But out of thousands of changes in gene expression, which ones actually drive the disease? Baylor researchers are looking into ways to better understand how neurological diseases happen. In this work, they used the fruit fly as a model to develop a high-throughput, multi-pronged approach that integrates laboratory experiments, data from published literature, and network analysis of large datasets to uncover the functional significance of various molecular changes.

Gene editing just got easier

An international team of researchers has made CRISPR technology more accessible and standardized by simplifying its complex implementation. The simpler, faster CRISPR, presented in the journal Nature Communications, offers a broad platform for off-the-shelf genome engineering that may lower the barrier of entry for this powerful technology.

credit: National Cancer Institute
The lengths a cancer cell would go to survive

Oncogenes and tumor suppressor genes have long been implicated in tumor development. Traditionally, much attention has been focused on studying mutations in these genes that can lead to cancer development, but this approach has not been sufficient to explain all cancers. Baylor researchers focused on mechanisms that could disrupt the normal regulation of the expression of these genes and the proteins that carry out the genes’ functions.

credit: Chiu lab.
Faster analysis of cryo-electron tomography images

Researchers use cryo-electron tomography to visualize macromolecules frozen in action and details of structures inside of cells. Looking to increase the efficiency of the time-consuming process of annotation, Baylor researchers developed an automated method that requires less human participation.

From the Labs

Subscribe now: From the Labs keeps you up-to-date on the latest Baylor news.