Potential energy landscapes identify the information-theoretic nature of the epigenome.
about
Statistical and integrative system-level analysis of DNA methylation data.Epigenetic and Transcriptional Variability Shape Phenotypic Plasticity.An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data.Aging in a Relativistic Biological Space-Time.Guidelines for whole genome bisulphite sequencing of intact and FFPET DNA on the Illumina HiSeq X Ten.Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci
P2860
Potential energy landscapes identify the information-theoretic nature of the epigenome.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Potential energy landscapes identify the information-theoretic nature of the epigenome.
@en
type
label
Potential energy landscapes identify the information-theoretic nature of the epigenome.
@en
prefLabel
Potential energy landscapes identify the information-theoretic nature of the epigenome.
@en
P2860
P356
P1433
P1476
Potential energy landscapes identify the information-theoretic nature of the epigenome.
@en
P2093
Garrett Jenkinson
John Goutsias
P2860
P2888
P304
P356
10.1038/NG.3811
P407
P577
2017-03-27T00:00:00Z
P6179
1084129151