dnase i hypersensitive site [dhs] Search Results


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Epigenomics ag dhs hotspots
Plot of the cell type enrichment −log10 P value from the Genomic Annotation Shifter (GoShifter) analyses of the overlaps between emphysema distribution–associated genetic variants with DNase I–hypersensitive peaks, DNase I <t>hotspots,</t> enhancer marks, and digital DNase I footprints. The cell types with enrichment P values less than 0.05 are colored red in A and shown in more detail in B. iPS = induced pluripotent stem cell; PMA-I = phorbol 12-myristate 13-acetate plus ionomycin.
Dhs Hotspots, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Plot of the cell type enrichment −log10 P value from the Genomic Annotation Shifter (GoShifter) analyses of the overlaps between emphysema distribution–associated genetic variants with DNase I–hypersensitive peaks, DNase I <t>hotspots,</t> enhancer marks, and digital DNase I footprints. The cell types with enrichment P values less than 0.05 are colored red in A and shown in more detail in B. iPS = induced pluripotent stem cell; PMA-I = phorbol 12-myristate 13-acetate plus ionomycin.
Self Transcribing Active Regulatory Region Sequencing, supplied by STARR Life Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Epigenomics ag cell-type specific dnase hypersensitive site (dhs)
Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) <t>DNase</t> <t>Hypersensitive</t> Sites <t>(DHS)</t> and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates
Cell Type Specific Dnase Hypersensitive Site (Dhs), supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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New England Biolabs nebnext ultra dna library prep kit for illumina
Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) <t>DNase</t> <t>Hypersensitive</t> Sites <t>(DHS)</t> and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates
Nebnext Ultra Dna Library Prep Kit For Illumina, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene irf2 (nm_002199) human untagged clone
Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) <t>DNase</t> <t>Hypersensitive</t> Sites <t>(DHS)</t> and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates
Irf2 (Nm 002199) Human Untagged Clone, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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New England Biolabs streptavidin
Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) <t>DNase</t> <t>Hypersensitive</t> Sites <t>(DHS)</t> and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates
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New England Biolabs t4 dna ligase
Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) <t>DNase</t> <t>Hypersensitive</t> Sites <t>(DHS)</t> and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates
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Image Search Results


Plot of the cell type enrichment −log10 P value from the Genomic Annotation Shifter (GoShifter) analyses of the overlaps between emphysema distribution–associated genetic variants with DNase I–hypersensitive peaks, DNase I hotspots, enhancer marks, and digital DNase I footprints. The cell types with enrichment P values less than 0.05 are colored red in A and shown in more detail in B. iPS = induced pluripotent stem cell; PMA-I = phorbol 12-myristate 13-acetate plus ionomycin.

Journal: American Journal of Respiratory Cell and Molecular Biology

Article Title: Integrative Genomics Analysis Identifies ACVR1B as a Candidate Causal Gene of Emphysema Distribution

doi: 10.1165/rcmb.2018-0110OC

Figure Lengend Snippet: Plot of the cell type enrichment −log10 P value from the Genomic Annotation Shifter (GoShifter) analyses of the overlaps between emphysema distribution–associated genetic variants with DNase I–hypersensitive peaks, DNase I hotspots, enhancer marks, and digital DNase I footprints. The cell types with enrichment P values less than 0.05 are colored red in A and shown in more detail in B. iPS = induced pluripotent stem cell; PMA-I = phorbol 12-myristate 13-acetate plus ionomycin.

Article Snippet: We also examined DHS hotspots (i.e., broader regions of DNase I hypersensitivity encompassing DNase peaks) that were available for 39 Roadmap Epigenomics cell types.

Techniques:

Number of Cell Types with Overlaps between Emphysema Distribution–associated Genome-Wide Association Study Variants with Expression Quantitative Trait Loci in Lung, Blood, and Lymphoblastoid Cell Lines and Each or Any One of DNase I–Hypersensitive Sites, DNase  Hotspots,  Enhancer Regions, and DNase I Footprints

Journal: American Journal of Respiratory Cell and Molecular Biology

Article Title: Integrative Genomics Analysis Identifies ACVR1B as a Candidate Causal Gene of Emphysema Distribution

doi: 10.1165/rcmb.2018-0110OC

Figure Lengend Snippet: Number of Cell Types with Overlaps between Emphysema Distribution–associated Genome-Wide Association Study Variants with Expression Quantitative Trait Loci in Lung, Blood, and Lymphoblastoid Cell Lines and Each or Any One of DNase I–Hypersensitive Sites, DNase Hotspots, Enhancer Regions, and DNase I Footprints

Article Snippet: We also examined DHS hotspots (i.e., broader regions of DNase I hypersensitivity encompassing DNase peaks) that were available for 39 Roadmap Epigenomics cell types.

Techniques: Genome Wide, Expressing

Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) DNase Hypersensitive Sites (DHS) and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates

Journal: BMC Bioinformatics

Article Title: A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

doi: 10.1186/s12859-017-1511-5

Figure Lengend Snippet: Epigenetic Dissection of Intra-Sample Heterogeneity: the EpiDISH algorithm. a Given a tissue of interest and with knowledge of the main underlying cell subtypes, EpiDISH constructs a reference DNA methylation (DNAm) database for these cell subtypes using (i) DNase Hypersensitive Sites (DHS) and DNAm data for these cell types from existing public databases and (ii) a supervised selection procedure which identifies differentially methylated CpGs (DMCs) among each pair of cell-types. The resulting reference DNAm database is defined only over DMCs that map to a DHS in at least one of the underlying cell-types. b Given a tissue sample of interest, EpiDISH next infers underlying cell type proportions/weights using robust partial correlations, with non-negativity and normalization constraints imposed a-posteriori. Having estimated cellular proportions for each sample, feature selection against a phenotype of interest is then performed using these proportions as covariates

Article Snippet: Here we present a novel framework for reference-based inference, which leverages cell-type specific DNAse Hypersensitive Site (DHS) information from the NIH Epigenomics Roadmap to construct an improved reference DNA methylation database.

Techniques: Dissection, Construct, DNA Methylation Assay, Selection, Methylation