Semi-automated cancer genome analysis using high-performance computing.
about
Challenges in the Setup of Large-scale Next-Generation Sequencing Analysis Workflows.Actionable perturbations of damage responses by TCL1/ATM and epigenetic lesions form the basis of T-PLL.Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB).
P2860
Semi-automated cancer genome analysis using high-performance computing.
description
2017 nî lūn-bûn
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2017年の論文
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2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
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name
Semi-automated cancer genome analysis using high-performance computing.
@en
type
label
Semi-automated cancer genome analysis using high-performance computing.
@en
prefLabel
Semi-automated cancer genome analysis using high-performance computing.
@en
P2093
P2860
P50
P356
P1433
P1476
Semi-automated cancer genome analysis using high-performance computing.
@en
P2093
Carmen D Herling
Giuliano Crispatzu
Marco Herling
Mohammad R Toliat
Pranav Kulkarni
P2860
P356
10.1002/HUMU.23275
P577
2017-06-09T00:00:00Z