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Title: Los Alamos on Radio Café: Ludmil Alexandrov

Abstract

In a creative breakthrough in cancer research, Ludmil Alexandrov, the J. Robert Oppenheimer Distinguished Postdoctoral Fellow at Los Alamos National Laboratory, combines Big Data, supercomputing and machine-learning to identify the telltale mutations of cancer. Knowing these mutational signatures can help researchers develop new methods of prevention.

Authors:
;
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1369043
Resource Type:
Multimedia
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 97 MATHEMATICS AND COMPUTING; LANL; CANCER; MUTATIONAL SIGNATURES; CANCER PREVENTION; PROCESS MAPPING

Citation Formats

Domandi, Mary-Charlotte, and Alexandrov, Ludmil. Los Alamos on Radio Café: Ludmil Alexandrov. United States: N. p., 2017. Web.
Domandi, Mary-Charlotte, & Alexandrov, Ludmil. Los Alamos on Radio Café: Ludmil Alexandrov. United States.
Domandi, Mary-Charlotte, and Alexandrov, Ludmil. Tue . "Los Alamos on Radio Café: Ludmil Alexandrov". United States. doi:. https://www.osti.gov/servlets/purl/1369043.
@article{osti_1369043,
title = {Los Alamos on Radio Café: Ludmil Alexandrov},
author = {Domandi, Mary-Charlotte and Alexandrov, Ludmil},
abstractNote = {In a creative breakthrough in cancer research, Ludmil Alexandrov, the J. Robert Oppenheimer Distinguished Postdoctoral Fellow at Los Alamos National Laboratory, combines Big Data, supercomputing and machine-learning to identify the telltale mutations of cancer. Knowing these mutational signatures can help researchers develop new methods of prevention.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 09 00:00:00 EDT 2017},
month = {Tue May 09 00:00:00 EDT 2017}
}
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