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| − | <h4 style="margin:0px 0px 0.1em 0px;padding:0px">EP Math and Data</h4> | + | <h4 style="margin:0px 0px 0.1em 0px;padding:0px"> |
| + | Lecture Series | EP Math and Data<br> | ||
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| − | + | July 11th - 14h00 <br> | |
| + | Conference Room (5.104) | ||
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| + | 14h00   Reconstructing phylogenetic trees in blood cancer   Dr. Thomas Stiehl<br> | ||
| + | ca. 14h45   Discussion on EPs further proceedings | ||
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| − | + | <b>Reconstructing phylogenetic trees in blood cancer</b> | |
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<i>Abstract: Leukemias (blood cancers) are characterized by a complex clinical course and a large inter-individual heterogeneity. Recent gene sequencing studies show that the leukemic cell bulk consists of multiple clones, each carrying a unique set of mutations. The genetic and phenotypic interdependence of the different clones is highly complex and so far not well understood. We develop a combinatorial tool to reconstruct all possible phylogenetic trees that are in line with given sequencing data. This is an important first step to understand the mechanisms underlying disease progression and treatment failure. We would like to discuss if topological methods can be applied to further improve the reconstruction of phylogenetic trees and which additional insights they could provide. As an example application we consider paired diagnosis-relapse samples from patients with acute myeloid leukemia. </i> | <i>Abstract: Leukemias (blood cancers) are characterized by a complex clinical course and a large inter-individual heterogeneity. Recent gene sequencing studies show that the leukemic cell bulk consists of multiple clones, each carrying a unique set of mutations. The genetic and phenotypic interdependence of the different clones is highly complex and so far not well understood. We develop a combinatorial tool to reconstruct all possible phylogenetic trees that are in line with given sequencing data. This is an important first step to understand the mechanisms underlying disease progression and treatment failure. We would like to discuss if topological methods can be applied to further improve the reconstruction of phylogenetic trees and which additional insights they could provide. As an example application we consider paired diagnosis-relapse samples from patients with acute myeloid leukemia. </i> | ||
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Revision as of 15:03, 1 July 2019
Lecture Series | EP Math and Data
July 11th - 14h00
Conference Room (5.104)
14h00 Reconstructing phylogenetic trees in blood cancer Dr. Thomas Stiehl
ca. 14h45 Discussion on EPs further proceedings
Reconstructing phylogenetic trees in blood cancer Abstract: Leukemias (blood cancers) are characterized by a complex clinical course and a large inter-individual heterogeneity. Recent gene sequencing studies show that the leukemic cell bulk consists of multiple clones, each carrying a unique set of mutations. The genetic and phenotypic interdependence of the different clones is highly complex and so far not well understood. We develop a combinatorial tool to reconstruct all possible phylogenetic trees that are in line with given sequencing data. This is an important first step to understand the mechanisms underlying disease progression and treatment failure. We would like to discuss if topological methods can be applied to further improve the reconstruction of phylogenetic trees and which additional insights they could provide. As an example application we consider paired diagnosis-relapse samples from patients with acute myeloid leukemia.
Summer School
Persistent Homology and Barcodes
August 5-9
Schloß Rauischholzhausen
JLU Gießen
Organizers: Peter Albers (Heidelberg), Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)