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Alexis Battle Research Group

Johns Hopkins University
Research lead
Alexis Battle
Department
biomedical engineering and computer science
Recruiting
Availability unconfirmed
Updated
October 2, 2026

Research focus

genomicsmachine learningcomputational biology

About the research

How does genetic variation in noncoding DNA alter molecular phenotypes across human tissues?

Read the full research overview

The group analyzes large-scale genomic sequencing data to study how genetic differences contribute to gene regulation and disease outcomes. The lab develops computational biology tools, statistical methods, and machine learning strategies to predict the effects of variation in noncoding DNA sequences. Researchers at the Battle Lab build integrative genomic networks and apply them to problems such as autism and rare Mendelian disease variant prediction. The lab also evaluates and predicts the impact of personal genomics and rare genetic variants to improve diagnosis of rare diseases.

Selected publications

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People & alumni

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