Analysis of computational footprinting methods for DNase sequencing experiments.
about
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionThe haploinsufficient tumor suppressor, CUX1, acts as an analog transcriptional regulator that controls target genes through distal enhancers that loop to target promoters.LASSIM-A network inference toolbox for genome-wide mechanistic modeling.DeFCoM: analysis and modeling of transcription factor binding sites using a motif-centric genomic footprinter.Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility.RegulatorTrail: a web service for the identification of key transcriptional regulators.Computational Prediction of the Global Functional Genomic Landscape: Applications, Methods, and Challenges.Most brain disease-associated and eQTL haplotypes are not located within transcription factor DNase-seq footprints in brain.Dynamic chromatin technologies: from individual molecules to epigenomic regulation in cells.Dynamic enhancer function in the chromatin context.Bivariate Genomic Footprinting Detects Changes in Transcription Factor ActivityBinding of nuclear factor κB to noncanonical consensus sites reveals its multimodal role during the early inflammatory response.Topological organization and dynamic regulation of human tRNA genes during macrophage differentiation.Transcription factor assisted loading and enhancer dynamics dictate the hepatic fasting response.Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions.From Genes to Networks: Characterizing Gene-Regulatory Interactions in Plants.Characteristics of functional enrichment and gene expression level of human putative transcriptional target genes.Opportunities and obstacles for deep learning in biology and medicine.Inference of cell type specific regulatory networks on mammalian lineages.Genome-scale identification of transcription factors that mediate an inflammatory network during breast cellular transformation.ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference
P2860
Q31145466-CB989CEA-F686-4A61-8A89-323D84703488Q33878641-803276A2-BA0C-4CD1-A66D-E429973D9E93Q33884554-81084125-BAB5-425C-99A0-75222AD1A3AEQ36228906-325C93B6-0C54-4C12-AFA8-B8CC571AC9EBQ38657134-F63665D3-6E78-454F-B5A5-2C1F2EBEEA7EQ38804041-B33DB701-AE3C-494D-91DD-39E35177546AQ39026696-9F90987E-4D00-402F-9C45-84FF1FA0ADD7Q39231609-8FF4B09B-1F3B-4ECB-AF7D-36DE8A28DE7AQ39321147-92F4B238-26DF-4F4F-BA0F-F30ED5C0FAA4Q39330107-314DB0C9-DE52-47F4-9C8D-4825C96C456FQ41148570-CE6BE199-3DFC-4195-8EFA-5E15D4B853C7Q41634610-D4EEC5AD-394B-42EA-B4C8-8F0B8555D60EQ41696196-AAA9FA04-D121-4130-B625-A40392F52519Q41892580-B0E4B2BE-9ED1-4BDC-B70B-669AF27710B3Q45072637-2F21905C-4D36-44C2-B381-1D93A1C02953Q47798147-98B62B69-C163-4B69-87AA-1C503B4C9B48Q49164718-CF5841B3-84C6-4D4A-89E7-150CB8EDEFC6Q52331906-02CB5E61-201A-4AC3-B919-A60E74B70148Q55054337-DEA19AE6-07DE-4CFA-B878-839764994402Q55362433-3497D340-DE2C-4884-85F1-B219E98EB45EQ57173897-4CB187B8-F085-46C1-96C2-0582CF271E38
P2860
Analysis of computational footprinting methods for DNase sequencing experiments.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh-hant
name
Analysis of computational footprinting methods for DNase sequencing experiments.
@en
Analysis of computational footprinting methods for DNase sequencing experiments.
@nl
type
label
Analysis of computational footprinting methods for DNase sequencing experiments.
@en
Analysis of computational footprinting methods for DNase sequencing experiments.
@nl
prefLabel
Analysis of computational footprinting methods for DNase sequencing experiments.
@en
Analysis of computational footprinting methods for DNase sequencing experiments.
@nl
P2093
P2860
P356
P1433
P1476
Analysis of computational footprinting methods for DNase sequencing experiments.
@en
P2093
Ivan G Costa
Manuel Allhoff
Martin Zenke
P2860
P2888
P304
P356
10.1038/NMETH.3772
P577
2016-02-22T00:00:00Z