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Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer
March 2012 (vol. 45 no. 3)
pp. 39-46
ASCII Text
x 
 
Fabio Vandin, Eli Upfal, Benjamin J. Raphael, "Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer," Computer, vol. 45, no. 3, pp. 39-46, March, 2012.
 
 
BibTex
x
 
@article{ 10.1109/MC.2012.71,
author = {Fabio Vandin and Eli Upfal and Benjamin J. Raphael},
title = {Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer},
journal ={Computer},
volume = {45},
number = {3},
issn = {0018-9162},
year = {2012},
pages = {39-46},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2012.71},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer
IS - 3
SN - 0018-9162
SP39
EP46
EPD - 39-46
A1 - Fabio Vandin,
A1 - Eli Upfal,
A1 - Benjamin J. Raphael,
PY - 2012
KW - computational biology
KW - bioinformatics
KW - genome sequencing
KW - cancer genomics
KW - networks
KW - diffusion processes
KW - Markov chain Monte Carlo
VL - 45
JA - Computer
ER -
 
Fabio Vandin, Brown University
Eli Upfal, Brown University
Benjamin J. Raphael, Brown University
Two proposed algorithms predict which combinations of mutations in cancer genomes are priorities for experimental study. One relies on interaction network data to identify recurrently mutated sets of genes, while the other searches for groups of mutations that exhibit specific combinatorial properties.

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Index Terms:
computational biology, bioinformatics, genome sequencing, cancer genomics, networks, diffusion processes, Markov chain Monte Carlo
Citation:
Fabio Vandin, Eli Upfal, Benjamin J. Raphael, "Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer," Computer, vol. 45, no. 3, pp. 39-46, March 2012, doi:10.1109/MC.2012.71
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