NCBI . NLM . NIH . GOV {
}
We began analyzing https://pmc.ncbi.nlm.nih.gov/articles/PMC4636926/, but it redirected us to https://pmc.ncbi.nlm.nih.gov/articles/PMC4636926/. The analysis below is for the second page.
Title[redir]:
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state - PMC
Description:
Chromatin profiling provides a versatile means to investigate functional genomic elements and their regulation. However, current methods yield ensemble profiles that are insensitive to cell-to-cell variation. Here we combine microfluidics, DNA ...
Title[redir]:
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state - PMC
Description:
Chromatin profiling provides a versatile means to investigate functional genomic elements and their regulation. However, current methods yield ensemble profiles that are insensitive to cell-to-cell variation. Here we combine microfluidics, DNA ...
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Keywords {🔍}
cells, cell, chromatin, doi, singlecell, single, fig, drops, supplementary, reads, profiles, data, barcode, google, scholar, pubmed, pmc, hkme, mefs, article, dna, barcodes, signatures, free, usa, nature, individual, signature, methods, cluster, subpopulations, microfluidics, sequencing, states, drop, library, expression, pluripotency, clustering, buffer, peaks, analysis, genomic, targets, based, state, elements, heterogeneity, stem, sample,
Topics {✒️}
pluripotency-related genes anti-correlates protein-dna interactions genome-wide conventional chip-seq maps conventional chip-seq measurements high-throughput single-cell labeling single-cell rna-seq bulk chip-seq assays silences neural-related genes conserved multi-exonic structure bulk chip-seq profiles bulk chip-seq datasets pmc beta search discarding mutli-mapped reads bulk chip-seq data single-cell rna data chip-seq data sets cell cycle-related genes derived multi-dimensional scaling sharing single-cell data single-cell transcriptomics applied high-throughput biological assays cell type-specific transcriptomes h3k4me3 single-cell profiles single-cell chromatin profiles multiplex single-cell profiling lineage-committed cells adopt drop-chip data generated fast gapped-read alignment epigenomic cell-state dynamics calculated pair-wise covariances single-cell expression data single-cell chromatin data singe-cell h3k4me2 data resulting single-cell data labeling single-cell chromatin adaptor-ligated chromatin fragments [google scholar] genome-wide maps single-cell reads overlapping wce virtual single-cells priming-related chromatin features single-cell clustering patterns detect cell-cell variations functionally-related genomic elements selected drop-chip data chip-seq profiles references cited bibliography rna profiling supports sc-pcr primer sequences dedicated web portal
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