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Project Descriptions
Spring 2026

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Showing 6 projects out of 6 found. On page 1 out of 1.
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Investigate human demographic history and adaptation using ancient and modern DNA

Priya Moorjani - Professor, Center for Computational Biology, Molecular and Cell Biology

Status: Current Term Now Closed     Weekly Hours: 12 or more hours     Location: On Campus

Improvements in sequencing techniques and availability of ancient DNA has revolutionized the study of human evolutionary genetics and disease mapping. As human populations migrated across the globe, they underwent demographic shifts and adapted to their diverse environments via natural selection, gaining numerous genetic adaptations to diet, high altitude, disease, and...

 Biological & Health Sciences   Digital Humanities and Data Science   Engineering, Design & Technologies   Mathematical and Physical Sciences

Investigate demographic changes in human evolutionary history through genetic analysis

Priya Moorjani - Professor, Center for Computational Biology, Molecular and Cell Biology

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Unraveling the first migrations of humans out of Africa has invoked great interest among researchers from a wide range of disciplines. With the advent of genome-wide DNA sequencing techniques and an increase in the availability of ancient samples, genetics offers important tools for testing different hypothesis related to human...

 Biological & Health Sciences   Digital Humanities and Data Science   Engineering, Design & Technologies   Mathematical and Physical Sciences

Adventures with the Coulter Principle

Max Staller - Assistant Researcher, Center for Computational Biology

Status: Current Term Now Closed     Weekly Hours: 6-8 hrs     Location: On Campus

Coulter Counters are very accurate machines for measuring cell number and volume...

 Biological & Health Sciences

Probing the evolution of transcription factor activation domains

Max Staller - Assistant Researcher, Center for Computational Biology

Status: Full- no new appr needed     Weekly Hours: 9-11 hrs     Location: On Campus

Transcription factors contain DNA binding domains and separate activation domains that bind coactivator complexes. DNA binding domains are conserved, structured and can be predicted from amino acid sequence. Activation domains are intrinsically disordered (they do not fold into a single 3D structure), poorly conserved and cannot be predicted from amino...

 Biological & Health Sciences

Computational approaches to studying patient mutations in transcriptional activation domains

Max Staller - Assistant Researcher, Center for Computational Biology

Status: Full- no new appr needed     Weekly Hours: 12 or more hours     Location: On Campus

Our group has developed simple and highly predictive models for transcriptional activation domains. The goal of the project is to identify human activation domains enriched for patient mutations...

 Biological & Health Sciences

Computational studies of transcriptional activation domains

Max Staller - Assistant Researcher, Center for Computational Biology

Status: Current Term Now Closed     Weekly Hours: 9-11 hrs     Location: On Campus

Transcription factors contain DNA binding domains and separate activation domains that bind coactivator complexes. DNA binding domains are conserved, structured and can be predicted from amino acid sequence. Activation domains are intrinsically disordered (they do not fold into a single 3D structure), poorly conserved and cannot be predicted from amino...

 Biological & Health Sciences

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