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scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.cell.2009.04.020openalex-snapshot
A Unifying Model for the Selective Regulation of Inducible Transcription by CpG Islands and Nucleosome Remodeling
inferredcites →https://doi.org/10.1016/j.stem.2013.06.004openalex-snapshot
FGF Signaling Inhibition in ESCs Drives Rapid Genome-wide Demethylation to the Epigenetic Ground State of Pluripotency
inferredcites →https://doi.org/10.1038/7734openalex-snapshot
Tsix, a gene antisense to Xist at the X-inactivation centre
inferredcites →https://doi.org/10.1038/cr.2016.23openalex-snapshot
Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas
inferredcites →https://doi.org/10.1038/cr.2017.82openalex-snapshot
Single-cell multi-omics sequencing of mouse early embryos and embryonic stem cells
inferredcites →https://doi.org/10.1038/nature08514openalex-snapshot
Human DNA methylomes at base resolution show widespread epigenomic differences
inferredcites →https://doi.org/10.1038/nature10808openalex-snapshot
DNase I sensitivity QTLs are a major determinant of human expression variation
inferredcites →https://doi.org/10.1038/nature11232openalex-snapshot
The accessible chromatin landscape of the human genome
inferredcites →https://doi.org/10.1038/nature11247openalex-snapshot
An integrated encyclopedia of DNA elements in the human genome
inferredcites →https://doi.org/10.1038/nature14590openalex-snapshot
Single-cell chromatin accessibility reveals principles of regulatory variation
inferredcites →https://doi.org/10.1038/nature15740openalex-snapshot
Genome-wide detection of DNase I hypersensitive sites in single cells and FFPE tissue samples
inferredcites →https://doi.org/10.1038/nmeth.2639openalex-snapshot
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
inferredcites →https://doi.org/10.1038/nmeth.3035openalex-snapshot
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
inferredcites →https://doi.org/10.1038/nmeth.3370openalex-snapshot
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
inferredcites →https://doi.org/10.1038/nmeth.3728openalex-snapshot
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
inferredcites →https://doi.org/10.1038/nmeth.3971openalex-snapshot
Diffusion pseudotime robustly reconstructs lineage branching
inferredcites →https://doi.org/10.1038/nprot.2014.006openalex-snapshot
Full-length RNA-seq from single cells using Smart-seq2
inferredcites →https://doi.org/10.1038/nprot.2016.138openalex-snapshot
Separation and parallel sequencing of the genomes and transcriptomes of single cells using G&T-seq
inferredcites →https://doi.org/10.1038/nprot.2016.187openalex-snapshot
Genome-wide base-resolution mapping of DNA methylation in single cells using single-cell bisulfite sequencing (scBS-seq)
inferredcites →https://doi.org/10.1073/pnas.0914005107openalex-snapshot
Independent filtering increases detection power for high-throughput experiments
inferredcites →https://doi.org/10.1093/bioinformatics/btr167openalex-snapshot
Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications
inferredcites →https://doi.org/10.1093/bioinformatics/btt656openalex-snapshot
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
inferredcites →https://doi.org/10.1093/bioinformatics/btw432openalex-snapshot
Higher order methylation features for clustering and prediction in epigenomic studies
inferredcites →https://doi.org/10.1101/gr.143008.112openalex-snapshot
Genome-wide mapping of nucleosome positioning and DNA methylation within individual DNA molecules
inferredcites →https://doi.org/10.1101/gr.147942.112openalex-snapshot
Dynamic DNA methylation across diverse human cell lines and tissues
inferredcites →https://doi.org/10.1186/s13059-015-0805-zopenalex-snapshot
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
inferredcites →https://doi.org/10.1186/s13059-016-0944-xopenalex-snapshot
Single-cell epigenomics: powerful new methods for understanding gene regulation and cell identity
inferredcites →https://doi.org/10.1186/s13059-016-0947-7openalex-snapshot
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
inferredcites →https://doi.org/10.1186/s13059-016-0950-zopenalex-snapshot
Simultaneous profiling of transcriptome and DNA methylome from a single cell
inferredcites →https://doi.org/10.1523/jneurosci.0473-10.2010openalex-snapshot
Protogenin Defines a Transition Stage during Embryonic Neurogenesis and Prevents Precocious Neuronal Differentiation
inferredcites →https://doi.org/10.7554/elife.23203openalex-snapshot
Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.coisb.2018.01.003openalex-snapshot
Statistical single cell multi-omics integration
inferred← citeshttps://doi.org/10.1016/j.mam.2017.08.006openalex-snapshot
Single cell analysis of normal and leukemic hematopoiesis
inferred← citeshttps://doi.org/10.1016/j.mam.2017.09.002openalex-snapshot
Single cell epigenome sequencing technologies
inferred← citeshttps://doi.org/10.1038/s41467-017-02762-zopenalex-snapshot
Distinct epigenetic programs regulate cardiac myocyte development and disease in the human heart in vivo
inferred← citeshttps://doi.org/10.1093/bfgp/elx046openalex-snapshot
Mapping gene regulatory networks from single-cell omics data
inferred← citeshttps://doi.org/10.1093/nar/gkad566openalex-snapshot
Integration of gene expression and DNA methylation data across different experiments
inferred← citeshttps://doi.org/10.1098/rsif.2017.0387openalex-snapshot
Opportunities and obstacles for deep learning in biology and medicine
inferred← citeshttps://doi.org/10.1101/199547openalex-snapshot
Deciphering programs of transcriptional regulation by combined deconvolution of multiple omics layers
inferred← citeshttps://doi.org/10.1126/science.aan6826openalex-snapshot
Single-cell epigenomics: Recording the past and predicting the future
inferred← citeshttps://doi.org/10.4018/979-8-3373-4849-0.ch001openalex-snapshot
Spatial and Single-Cell Multi-Omics for Precision Medicine
inferred← citeshttps://doi.org/10.70675/69543fb0zccf0z4c4dzbd34z6aa4482b1101openalex-snapshot
Structure learning to unravel mechanisms of the immune system
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