Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data

Viachaslau Tsyvina; Alex Zelikovsky; Sagi Snir; Pavel Skums

Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data

Viachaslau Tsyvina, Alex Zelikovsky, Sagi Snir, Pavel Skums

Department of Evolutionary and Environmental Biology

Research output: Contribution to conference › Paper › peer-review

Abstract

Original language	English
State	Published - 2020
Event	RECOMB-Computational Cancer Biology (CCB) 2020 - Duration: 8 May 2020 → …

Conference

Conference	RECOMB-Computational Cancer Biology (CCB) 2020
Period	8/05/20 → …

Bibliographical note

Funding Information:
PS and AZ were supported by National Institutes of Health, [grant number 1R01EB025022]. VT was supported by Georgia State University Molecular Basis of Disease fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2020 Tsyvina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ASJC Scopus subject areas

Ecology, Evolution, Behavior and Systematics
Ecology
Modeling and Simulation
Molecular Biology
Genetics
Cellular and Molecular Neuroscience
Computational Theory and Mathematics

Cite this

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title = "Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data",

author = "Viachaslau Tsyvina and Alex Zelikovsky and Sagi Snir and Pavel Skums",

note = "Funding Information: PS and AZ were supported by National Institutes of Health, [grant number 1R01EB025022]. VT was supported by Georgia State University Molecular Basis of Disease fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2020 Tsyvina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.; RECOMB-Computational Cancer Biology (CCB) 2020 ; Conference date: 08-05-2020",

year = "2020",

language = "English",

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TY - CONF

T1 - Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data

AU - Tsyvina, Viachaslau

AU - Zelikovsky, Alex

AU - Snir, Sagi

AU - Skums, Pavel

N1 - Funding Information: PS and AZ were supported by National Institutes of Health, [grant number 1R01EB025022]. VT was supported by Georgia State University Molecular Basis of Disease fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2020 Tsyvina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2020

Y1 - 2020

UR - https://easychair.org/cfp/RECOMB-CCB2020

M3 - Paper

T2 - RECOMB-Computational Cancer Biology (CCB) 2020

Y2 - 8 May 2020

ER -

Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

Other files and links

Cite this