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Project Descriptions
Spring 2025

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Showing 5 projects out of 5 found. On page 1 out of 1.
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Classifying archaic ancestry in human genomes using machine learning models

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

Status: Check back for status     Weekly Hours: 12 or more hours     Location: On Campus

Our lab studies human evolutionary genetics using genomic data from present-day and ancient DNA samples. We aim to understand how different populations relate to each other and what are some of the genes related to human adaptation and diseases. To this end, we develop computational and statistical methods 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: Check back for status     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

Simulating the 3D conformations of intrinsically disordered transcriptional activation domains

Max Staller - Assistant Researcher, Center for Computational Biology

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

It is now clear that roughly a third of the amino acids in human proteins are intrinsically disordered and do not fold into a single 3D structure. Some of these regions transiently fold when bound to partners, but many simply wiggle between many confirmations. These disordered regions cannot be visualized...

 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

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