PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
about
A user's guide to the encyclopedia of DNA elements (ENCODE)Evaluation of algorithm performance in ChIP-seq peak detectionClassification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factorsMAnorm: a robust model for quantitative comparison of ChIP-Seq data setsPractical guidelines for the comprehensive analysis of ChIP-seq dataIdentification and characterization of Hoxa9 binding sites in hematopoietic cellsInsights from genomic profiling of transcription factorsGenomic views of STAT function in CD4+ T helper cell differentiationA scaling normalization method for differential expression analysis of RNA-seq dataBlood pressure loci identified with a gene-centric arrayThe transcriptional foundation of pluripotencyUncovering transcription factor modules using one- and three-dimensional analysesNext-generation sequencing: a powerful tool for the discovery of molecular markers in breast ductal carcinoma in situDeactivation of the GATA Transcription Factor ELT-2 Is a Major Driver of Normal Aging in C. elegansThe BTB-zinc finger transcription factor abrupt acts as an epithelial oncogene in Drosophila melanogaster through maintaining a progenitor-like cell stateGenome-wide identification of binding sites defines distinct functions for Caenorhabditis elegans PHA-4/FOXA in development and environmental responseWnt-signalling pathways and microRNAs network in carcinogenesis: experimental and bioinformatics approachesIntegrating Epigenomics into the Understanding of Biomedical InsightChIP-seq guidelines and practices of the ENCODE and modENCODE consortiaENCODE data in the UCSC Genome Browser: year 5 updateCNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencingTcf7 is an important regulator of the switch of self-renewal and differentiation in a multipotential hematopoietic cell lineGenome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small moleculesAnalysis of genomic variation in non-coding elements using population-scale sequencing data from the 1000 Genomes ProjectHigh resolution detection and analysis of CpG dinucleotides methylation using MBD-Seq technologyPeakRegressor identifies composite sequence motifs responsible for STAT1 binding sites and their potential rSNPsPEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing dataQuantitative 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 regionsChIP-seq: advantages and challenges of a maturing technologyMUSIC: 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 algorithmsEpigenetic methodologies for behavioral scientists.Maternal separation with early weaning: a rodent model providing novel insights into neglect associated developmental deficitsA signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.Nuclear factor I revealed as family of promoter binding transcription activators.Predictive models of gene regulation from high-throughput epigenomics data.A co-localization model of paired ChIP-seq data using a large ENCODE data set enables comparison of multiple samples.ChIPBase: a database for decoding the transcriptional regulation of long non-coding RNA and microRNA genes from ChIP-Seq data.
P2860
Q21092716-40F7EEAE-FF11-4044-9749-D4D10B0AC9BDQ21136324-B4A773D6-EDC2-4FDF-8444-466C0795D61CQ21183997-FC2C1251-6EF5-4B18-9F8F-1F570F476F33Q21184004-FF7FD430-6100-44CD-AC44-953CCC504E88Q21563477-F2EC2290-AF15-4603-8356-B581A133F04BQ24610737-A4E85348-1C8E-4329-81DF-94B4E75660D8Q24611607-5C4CD9D3-478A-4392-9A37-44838B5F9F0CQ24628039-AD9974E9-1855-4BA5-9774-B920FD6EE7C7Q24628783-A118D7DA-960B-46F8-AE49-6C4ECE3E0424Q24630508-8A226648-0DB8-4A82-A676-ABA0E86A06CFQ24649039-9C65BD69-AC7E-4889-8C16-795C844E685CQ26862955-25A2546A-825C-4F17-B92F-29F0105F309AQ26864448-3FBFF634-4486-431F-A04A-8DAB2487B179Q27308993-867832CE-2575-43BA-8B71-805062BF8BCDQ27321236-8104645B-FA30-4352-96FC-0592A3157A8EQ27348311-58511917-EE2F-4F2C-B6FA-97E09C06A6D4Q28077396-3F71E6A2-CA3B-4616-9721-23717F4434BDQ28077579-9CAE2851-CF02-4D18-84CB-9A6ADFBC2B12Q28274448-0DE2F3F0-0CB8-4E21-9907-9340A98D5BA4Q28280234-9F8954A6-5C5C-4387-96BC-8D65184F6EC4Q28305453-2ADF4AE1-20DE-47DA-A616-6FACD7973E38Q28481434-09EE0D7D-DB0F-4A95-ACAA-D0C4AC9D8571Q28536750-A932CCAE-CA98-4BDD-A260-B34E880C6300Q28740767-E5D9F9CD-0A3C-463B-B31F-EB64B51EF3DEQ28742587-51FBF7B6-B305-440A-9136-96C446C3859CQ28749545-816E6364-A269-400F-9AE2-38B9C7264A69Q28752684-ACC90851-60C8-4347-9E0B-F0AB660C175DQ28950947-A0AE728C-E1AB-4627-89B6-71403155A51FQ29614330-1ABB3B59-39FB-49CF-B30F-AD1A1524EB8AQ29614846-9D8EA12B-B8D2-4C41-BB7C-30786110E138Q29615336-61087B0C-0708-45B0-982A-89638EC94840Q30367601-E6993F2D-50B2-43C7-9753-279D8F0622E2Q30387991-C55C7A57-675F-4639-B6B2-8F6416D73613Q30428074-0D6241EE-50C7-4B8E-B478-CAA07FBD823BQ30453556-655B8B96-83FE-46A1-84B5-52552FECFB34Q30466536-5FADB657-60E9-4456-8BD3-AB5B531E9CFBQ30499852-D0694707-ABE0-477C-A0B3-B19BE4CECF1FQ30559360-2C36F476-ED65-4813-A053-060521F02391Q30576103-D79E1AFA-B247-4EB9-B4D4-A195CA690D9AQ30577864-78DF0487-3CBE-4BDC-A32F-91047BC7B86C
P2860
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@ast
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@en
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@nl
type
label
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@ast
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@en
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@nl
prefLabel
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@ast
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@en
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@nl
P2093
P2860
P3181
P356
P1433
P1476
PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
@en
P2093
Ghia Euskirchen
Michael Snyder
Nicholas Carriero
Raymond K Auerbach
Robert Bjornson
Theodore Gibson
Zhengdong D Zhang
P2860
P2888
P3181
P356
10.1038/NBT.1518
P407
P577
2009-01-01T00:00:00Z