Design and analysis of ChIP-seq experiments for DNA-binding proteins.
about
Chromatin landscape dictates HSF binding to target DNA elementsGenome-wide chromatin remodeling identified at GC-rich long nucleosome-free regionsEvaluation of algorithm performance in ChIP-seq peak detectionA comparison of peak callers used for DNase-Seq dataPractical guidelines for the comprehensive analysis of ChIP-seq dataATRX directs binding of PRC2 to Xist RNA and Polycomb targetsWidespread plasticity in CTCF occupancy linked to DNA methylationNext-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinoma in situSingle molecule and single cell epigenomics.Constructing 3D interaction maps from 1D epigenomes.Chromatin topology is coupled to Polycomb group protein subnuclear organization.The Transcriptional Activator Krüppel-like Factor-6 Is Required for CNS MyelinationIntegrating Epigenomics into the Understanding of Biomedical InsightProtein-DNA binding in high-resolutionMediator kinase inhibition further activates super-enhancer-associated genes in AMLChIP-seq guidelines and practices of the ENCODE and modENCODE consortiaENCODE data in the UCSC Genome Browser: year 5 updateExpansion of GA Dinucleotide Repeats Increases the Density of CLAMP Binding Sites on the X-Chromosome to Promote Drosophila Dosage CompensationDistinct global shifts in genomic binding profiles of limb malformation-associated HOXD13 mutationsEfficient Genome-Wide Sequencing and Low-Coverage Pedigree Analysis from Noninvasively Collected SamplesEvidence for a common evolutionary rate in metazoan transcriptional networksGenome-Scale Mapping of Escherichia coli σ54 Reveals Widespread, Conserved Intragenic BindingCore and region-enriched networks of behaviorally regulated genes and the singing genomeInterplay between chromatin state, regulator binding, and regulatory motifs in six human cell typesNext-generation genomics: an integrative approachHigh resolution detection and analysis of CpG dinucleotides methylation using MBD-Seq technologyPAtCh-Cap: input strategy for improving analysis of ChIP-exo data sets and beyondQuantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxiaWidespread transcription at neuronal activity-regulated enhancersGREAT improves functional interpretation of cis-regulatory regionsAnnotation of functional variation in personal genomes using RegulomeDBChIP-seq: advantages and challenges of a maturing technologyMyt1l safeguards neuronal identity by actively repressing many non-neuronal fates.SMARCB1-mediated SWI/SNF complex function is essential for enhancer regulationARID1A loss impairs enhancer-mediated gene regulation and drives colon cancer in mice.The SWI/SNF chromatin remodelling complex is required for maintenance of lineage specific enhancersMUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing framework.Features that define the best ChIP-seq peak calling algorithmsActive promoters give rise to false positive 'Phantom Peaks' in ChIP-seq experiments.The RNA-binding protein Rumpelstiltskin antagonizes gypsy chromatin insulator function in a tissue-specific manner.
P2860
Q21092435-BFB1B5EA-37C5-43EF-925E-3565E72D3B81Q21133925-5DE795DB-A359-41F4-9D85-AB7F415FAC26Q21136324-52F430D8-00E4-4D8C-8C05-758F1A3859A9Q21559472-9115F17A-8812-4DF8-91BB-A50422B454C3Q21563477-724EC3A9-40DD-482F-904E-27970B0F51E8Q24307468-A7987E89-AFBD-4262-90A6-FEAD32E28DF8Q24608987-7B599F84-0C6E-460A-91FA-798531A8E66FQ26864448-60D2D4A6-98F6-4E19-AA54-D589F622571CQ27026725-D9E9418B-11C7-4323-9022-1A070337DC05Q27329652-D9D29516-6B04-4BA8-8322-4093F9EDB3EFQ27335771-3B12C906-536C-4192-8928-9D336E0B37FDQ27342581-BD32EA72-B0F1-499E-A5A5-82E45B4480E4Q28077579-2720E52E-1B64-43BE-A08E-3C75D2020D3EQ28084330-0DFFE2EA-E706-43A2-A88D-6DF294A79FDFQ28267938-C101A408-F321-426D-B44E-34545F987B61Q28274448-6245D998-CF34-4BF0-87BB-8713F2EEAE4AQ28280234-CED27B6A-70EF-4291-833D-C4458257C47AQ28552633-1CBCED1A-025D-4405-BEFD-13064D3C8FCFQ28593233-7384BAED-0B7F-4897-B090-71C1E0809F18Q28601597-DD3A41AE-955E-4D57-875D-2C8070728E33Q28603870-98FC9D28-203C-4EF3-8EE5-B30B296A0DC6Q28606997-16316439-4C05-4F77-8216-354697DF26DDQ28652392-9555284F-D632-4EB4-88E3-789517AFF0BAQ28680737-FF16CBF0-C0AC-4A1B-ABB6-56F32A6B85CFQ28730711-F256C7AF-A599-4624-A04D-491833181102Q28742587-FC5C3913-148C-4ACA-B7C7-C91BC87CD1DCQ28817926-16F96701-6342-45A4-ACB8-D7DEA5F7E5C4Q28950947-B4AEEEC8-EA0C-410B-A928-0AA0465E5039Q29614330-51C398D9-28F1-4A9B-BBA5-836E821C93E1Q29614846-6D479F16-FDBF-439C-A75F-C19EAA62C550Q29614867-1BB675EA-A6A9-447C-82F7-FCE2D50071A9Q29615336-5609858E-F524-4C93-9B35-6553D706E34EQ29871111-92A5B85A-D64B-4E2F-B418-0C3DCC0A6007Q30354457-206874F4-8E3F-4BB6-B239-1D59ED667991Q30354461-51C27F0B-F0E0-47E7-9102-CF275613908CQ30360829-C782C6A6-84C1-4E8F-8C99-A03C9A89E840Q30367601-47488BBE-3582-48DC-9EA7-B9DB61856883Q30387991-DF05CA1A-6D6F-4525-9293-AD313EA35AF5Q30404787-E72A08A5-B75A-4D6B-9292-3473063D10AEQ30410709-7BABA98C-098F-46A7-8764-E7B78A30E977
P2860
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@en
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@nl
type
label
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@en
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@nl
prefLabel
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@en
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@nl
P2093
P2860
P356
P1433
P1476
Design and analysis of ChIP-seq experiments for DNA-binding proteins.
@en
P2093
Michael Y Tolstorukov
Peter J Park
Peter V Kharchenko
P2860
P2888
P304
P356
10.1038/NBT.1508
P577
2008-11-16T00:00:00Z