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Algorithms for Inferring Evolution and Migration of Tumors Raphael, Ben
Description
Cancer is an evolutionary process driven by somatic mutations that accumulate in a population of cells that form a primary tumor. In later stages of cancer progression, cells migrate from a primary tumor and seed metastases at distant anatomical sites. I will describe algorithms to reconstruct this evolutionary process from DNA sequencing data of tumors. These algorithms address challenges that distinguish the tumor phylogeny problem from classical phylogenetic tree reconstruction, including challenges due to mixed samples and complex migration patterns. Joint work with Mohammed El-Kebir and Gryte Satas
Item Metadata
Title |
Algorithms for Inferring Evolution and Migration of Tumors
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2017-03-28T11:18
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Description |
Cancer is an evolutionary process driven by somatic mutations that accumulate in a population
of cells that form a primary tumor. In later stages of cancer progression, cells migrate from a
primary tumor and seed metastases at distant anatomical sites. I will describe algorithms to
reconstruct this evolutionary process from DNA sequencing data of tumors. These algorithms
address challenges that distinguish the tumor phylogeny problem from classical phylogenetic
tree reconstruction, including challenges due to mixed samples and complex migration
patterns.
Joint work with Mohammed El-Kebir and Gryte Satas
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Extent |
27.0
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Princeton University
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Series | |
Date Available |
2019-03-12
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0376770
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International