Difference between revisions of "Chuang Lab"

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{{banner|direction=right|title=Welcome |section= |section-link=Chuang_Lab|image=clab_banner2.jpg|width=20%|quote=Our lab uses computational and mathematical approaches to investigate the mechanisms that govern mammalian genomes and cell populations. The lab specializes in problems in cancer genomics, molecular evolution, and gene regulation.}}
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{{banner|direction=right|title=Welcome |section= |section-link=Chuang_Lab|image=clab_banner2.jpg|width=20%|quote=Our lab uses computational and mathematical approaches to investigate the mechanisms that govern cancer cells and their spatial ecosystems. The lab specializes in problems in cancer image analysis, genomics, and evolution.}}
 
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{{banner|direction=right|title=Research Topics|section=|image=PDXpicture.png |width=15%|quote=The lab uses computational and mathematical approaches to understand how genomes function and evolve. We develop and apply techniques from a variety of disciplines, including molecular evolution, artificial intelligence, and biophysical modeling. We are currently focused in two areas:  
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{{banner|direction=right|title=Research Topics|section=|image=PDXpicture.png |width=15%|quote=The lab uses computational and mathematical approaches to understand cancer cells and their spatial ecosystems. We develop and apply techniques from a variety of disciplines, including deep neural networks, genomic and evolutionary analysis, and biophysical modeling. We are currently focused in: 1) Multiplex and histopathological cancer image analysis using deep learning, and 2) Cancer evolution in response to therapy.}}
1) Cancer evolution in response to therapy, and
 
2) RNA-Level Gene Regulation.}}
 
 
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{{banner|direction=left|title = Publications | section= [http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006078 SARNAclust: Semi-automatic detection of RNA protein binding motifs from immunoprecipitation data]|image= Journal.pcbi.100607814.g002.jpg|width=45%|quote=}}
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{{banner|direction=left|title = Publications | section= [https://link.springer.com/article/10.1038/s41467-023-44162-6 Cellos: deconvolution of 3D organoid dynamics at cellular resolution]|image= CellosFig3.jpg|width=45%|quote=}}
 
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{{banner|direction=right|title=People|section=People|image=353px-Group beach 2017.jpg|width=45%|quote=Meet the members of the Chuang lab}}
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{{banner|direction=right|title=People|section= |image=East_rock_lookout_2024.jpg|width=15%|quote=Meet the members of the Chuang lab}}
 
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|title = News
 
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|section = [https://www.jax.org/news-and-insights/2017/october/jax-seven-bridges-cancer-data-platform Chuang Lab Awarded U24 for Data Coordination Center for NCI PDXNet]
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|section = [http://chuanglab.org/News PDXNet U24 grant]
 
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|quote=Together with Seven Bridges Genomics, we have been awarded a National Cancer Institute grant to coordinate data sharing and analysis for the PDXNet. We are working with esteemed collaborators at institutes including MD Anderson, the Huntsman Institute at the University of Utah, Baylor College of Medicine, the Wistar Institute, and Washington University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts.}}
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|quote= The lab has been awarded a National Cancer Institute grant to continue our coordination of data sharing and analysis to general cancer clinical trials for the PDXNet. We are working with institutes including MD Anderson, Dana Farber, Huntsman Cancer Institute, Baylor College of Medicine, the Wistar Institute, Washington University, UC Davis, and Virginia Commonwealth University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts.}}
 
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<h2><span class="mw-headline" id="Openings"><span class="fa fa"></span></span> Openings</h2>
 
<h2><span class="mw-headline" id="Openings"><span class="fa fa"></span></span> Openings</h2>
<p>As of June 2018, we have two postdoctoral openings in cancer computational biology.
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<p>Student/postdoctoral/research scientist openings in cancer computational biology.
 
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<btn>Openings</btn>
 
<btn>Openings</btn>

Latest revision as of 12:12, 30 August 2024

Welcome

Our lab uses computational and mathematical approaches to investigate the mechanisms that govern cancer cells and their spatial ecosystems. The lab specializes in problems in cancer image analysis, genomics, and evolution.

Research Topics

The lab uses computational and mathematical approaches to understand cancer cells and their spatial ecosystems. We develop and apply techniques from a variety of disciplines, including deep neural networks, genomic and evolutionary analysis, and biophysical modeling. We are currently focused in: 1) Multiplex and histopathological cancer image analysis using deep learning, and 2) Cancer evolution in response to therapy.

People

Meet the members of the Chuang lab

PDXNet U24 grant

News

The lab has been awarded a National Cancer Institute grant to continue our coordination of data sharing and analysis to general cancer clinical trials for the PDXNet. We are working with institutes including MD Anderson, Dana Farber, Huntsman Cancer Institute, Baylor College of Medicine, the Wistar Institute, Washington University, UC Davis, and Virginia Commonwealth University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts.

Research

Topics that the Chuang Lab investigates

News

Get updated with the current and past news of the Chuang Lab

Openings

Student/postdoctoral/research scientist openings in cancer computational biology.