Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification.
about
Next generation sequencing technology and genomewide data analysis: Perspectives for retinal researchSingle molecule and single cell epigenomics.Genome-wide epigenomic profiling for biomarker discoveryProtein-DNA binding in high-resolutionMetatranscriptomic insights on gene expression and regulatory controls in Candidatus Accumulibacter phosphatisEpigenomic landscapes of retinal rods and conesConservation of transcription factor binding specificities across 600 million years of bilateria evolutionBinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionCombining ATAC-seq with nuclei sorting for discovery of cis-regulatory regions in plant genomes.Age-associated chromatin relaxation is enhanced in Huntington's disease mice.Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end readsThe haploinsufficient tumor suppressor, CUX1, acts as an analog transcriptional regulator that controls target genes through distal enhancers that loop to target promoters.Chromatin accessibility: a window into the genome.Explicit DNase sequence bias modeling enables high-resolution transcription factor footprint detection.DNase footprint signatures are dictated by factor dynamics and DNA sequenceMap of open and closed chromatin domains in Drosophila genome.Mechanisms of x chromosome dosage compensation.Evolving insights on how cytosine methylation affects protein-DNA binding.Survey of protein-DNA interactions in Aspergillus oryzae on a genomic scaleWellington-bootstrap: differential DNase-seq footprinting identifies cell-type determining transcription factors.Genome-wide footprinting: ready for prime time?Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.Steroid Receptors Reprogram FoxA1 Occupancy through Dynamic Chromatin Transitions.Novel method to ascertain chromatin accessibility at specific genomic loci from frozen brain homogenates and laser capture microdissected defined cellsA synergistic DNA logic predicts genome-wide chromatin accessibility.Mapping 3D genome architecture through in situ DNase Hi-CDeFCoM: analysis and modeling of transcription factor binding sites using a motif-centric genomic footprinter.Imputation for transcription factor binding predictions based on deep learningTranscriptional regulatory logic of the diurnal cycle in the mouse liver.Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic TechnologiesAn autoregulatory enhancer controls mammary-specific STAT5 functions.miR-93 regulates Msk2-mediated chromatin remodelling in diabetic nephropathyFunctional characterization of open chromatin in bidirectional promoters of rice.Modeling cis-regulation with a compendium of genome-wide histone H3K27ac profiles.Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape.The role of chromatin dynamics in immune cell development.Identifying and mitigating bias in next-generation sequencing methods for chromatin biology.High-resolution digital profiling of the epigenome.Decoding neural transcriptomes and epigenomes via high-throughput sequencing.
P2860
Q26746206-9F38730E-721A-4A45-BC24-0815302A919AQ27026725-55200EDF-BFDF-49E0-A465-420C88FEA5F0Q28080102-C92EA116-9898-48F1-96AF-F4FCBC24E8E8Q28084330-0EE60E98-F0EA-4698-8AD5-49DD090699C2Q28389969-4F957E4E-6483-403A-B48A-224669352772Q28550899-BF5E89D4-DBA2-49EA-987B-604A48D4E300Q28652295-AA996215-2E69-4B1A-A300-792A304DECC4Q30948013-BCBADFDD-37BC-450E-88E9-84A88033719FQ31145466-472E494A-F501-4E09-9306-8FB7CAF0F568Q33558368-1BD2C499-4732-47FE-9803-640F8EF383F2Q33563614-B000658A-2CCB-470A-A057-0D05E16B1DA6Q33818534-38628DF2-D2CC-40FE-9CCB-A546C8335A36Q33878641-D088B63F-531B-4CB3-890E-179880288B2DQ34452000-AF9E290A-D639-420B-ADA0-60661A69BC18Q34510016-C148C1D6-686C-4C55-AA66-0E5BEB16297FQ34746845-EE9403F6-FEBF-4E7D-AF10-F2AE8077BE12Q34895668-06FF5CCF-882F-4F10-9919-A63EFFD4C362Q35002469-9239308C-7A8D-4D7E-B1D8-6B10B911C3A6Q35003119-C376D168-584A-497D-9BC7-D063A2125A84Q35786148-9936812C-A471-4972-ABF0-C84BC5CA69E1Q35853353-273F68B5-540C-4219-B1F1-39404D708A8FQ35935489-CCC249AB-96D2-4076-B44A-A142DB28D64EQ35967692-63014263-EC6D-4F19-A2A1-56249211916DQ35985045-AF9C76CC-D1DB-445E-91A0-E24FA2068918Q36011905-DD2DB59A-A1D0-49C1-B5C5-85936CA3E74AQ36085119-C9B8A54F-3BF9-4A38-A005-E47BBDB7110BQ36148298-187578D9-A8F3-4422-B403-7443BACA3FE7Q36228906-475F700A-6D3A-43EF-AB1A-04251A91AFF6Q36289441-5A9E08B4-ADA5-49DB-9E9C-BC00F1106F19Q36348389-C0F5FCF8-F0E9-495B-9559-1EB324E469FEQ36446270-B969F6F9-31B4-4C29-9EB3-AB9FD7CE8982Q36588988-4EA21508-70F5-4F1C-8227-5A6E88176F48Q37061198-9A688009-582A-4EC5-9626-D50AAC3EA348Q37202490-63F83C5C-5496-4FA5-BC8A-CF4331F5DBBEQ37313704-B361D635-D591-4DB3-BE42-0639171693FCQ37633701-0CAC8E36-3173-4C52-B5E4-E03BE3FD8A6BQ38239862-5225C21B-AB97-456C-BD21-42256F68FA05Q38249872-9E3125E8-3CE5-4806-ACF3-9C6686A9D44CQ38258264-942F09B4-1C42-4BBF-BE96-BFE05E0C44DCQ38263227-097E7569-1854-426C-97F9-D140E070BEEB
P2860
Refined DNase-seq protocol and data analysis reveals intrinsic bias in transcription factor footprint identification.
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Refined DNase-seq protocol and ...... ctor footprint identification.
@ast
Refined DNase-seq protocol and ...... ctor footprint identification.
@en
type
label
Refined DNase-seq protocol and ...... ctor footprint identification.
@ast
Refined DNase-seq protocol and ...... ctor footprint identification.
@en
prefLabel
Refined DNase-seq protocol and ...... ctor footprint identification.
@ast
Refined DNase-seq protocol and ...... ctor footprint identification.
@en
P2093
P2860
P356
P1433
P1476
Refined DNase-seq protocol and ...... ctor footprint identification.
@en
P2093
Chongzhi Zang
Clifford A Meyer
Henry Long
Mei-Wei Chen
Prakash K Rao
Sheng'en Shawn Hu
X Shirley Liu
P2860
P2888
P356
10.1038/NMETH.2762
P577
2013-12-08T00:00:00Z
P5875
P6179
1033430428