Bioinformatics | CHOP Research Institute
 

Bioinformatics

Published on
Nov 13, 2025
The results of this study help identify the causes and consequences of molecular changes in RNA that arise from genetic differences among individuals.

The Ko laboratory develops innovative physiologic monitoring technologies and therapeutic approaches to improve detection and treatment of critical organ dysfunction in pediatric critical care patients with particular emphasis in cardiopulmonary failure, resuscitation, and brain injury.

Published on
Aug 19, 2024
In two new studies, the Gandal Lab has identified thousands of new gene transcripts.
Published on
Jan 29, 2024
With funding from the National Cancer Institute’s Childhood Cancer Data Initiative, CHOP researchers are identifying new immunotherapy targets.

The Mitochondria and Cancer Connections (MC2) Research program leverages knowledge from existing centers to establish a novel, cutting-edge research initiative and enable the development of mechanistic understanding and novel therapeutic opportunities at the intersection of mitochondrial disease and pediatric cancer.

Dr. Ko's research focus is the development of non-invasive diffuse optical tools to identify critical periods of neurological vulnerability and to facilitate individualized care pathways to mitigate subsequent neurological injury in critically-ill children.

E-mail:
kotiff [at] chop.edu
Published on
Aug 3, 2023
Our August Featured Research Trainee is Megha Lal, PhD, who investigates the mechanism of less common forms of food allergies such as eosinophilic esophagitis.

Research in the Wang Laboratory focuses on the development of bioinformatics methods to improve the understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.

Dr. Master works to understand the biochemical pathways related to inborn errors of metabolism, particularly as they relate to mitochondrial function. He also focuses on bioinformatics and machine learning solutions to problems in mass spectrometry and laboratory medicine.

E-mail:
masters [at] chop.edu

The Department of Biomedical and Health Informatics (DBHi) explores how data, technology, and knowledge converge to improve scientific research and patient care.