These data make up the UCSC Genome Browser track hub used in our publication. These 36 files include: snATAC-seq pseudobulk peaks across 18 clusters (bigwigs) Merged psuedobulk snATAC-seq peaks across all clusters (bigBeg) TSS regions called from LR-Split-seq (bigBed) ENCODE cCREs (bigBed) LR-Split-seq reads across 7 clusters, used to call TSSs (bams and bam indices) Comprehensive set of GENCODE vM21 (bigBed
Single-cell RNA-sequencing is an experimental technique for studying cellular gene expression, with ...
RNA sequencing (RNA-seq) measures gene expression in cell populations at an unprecedented resolution...
Defining a precise map of all genes along with their alternative isoforms and expression across dive...
Abstract The rise in throughput and quality of long-read sequencing should allow unambiguous identif...
The rise in throughput and quality of long-read sequencing should allow unambiguous identification o...
RNA sequencing has become the standard technique for high resolution genome-wide monitoring of gene ...
RNA-Sequencing (RNA-Seq) has enabled detailed unbiased profiling of whole transcriptomes with incred...
RNA-Sequencing (RNA-Seq) has enabled detailed unbiased profiling of whole transcriptomes with incred...
The informational content of RNA sequencing is currently far from being completely explored. Most of...
<p>Numbers of reads in RPM (reads per million mapped reads) are shown on the Y-axis and the genomic ...
With the advent of single-cell RNA-sequencing (scRNA-seq), it is possible to measure the expression ...
Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing...
Since the invention of next-generation RNA sequencing (RNA-seq) technologies, they have become a pow...
RNA-Seq techniques generate hundreds of millions of short RNA reads using next-generation sequencing...
MOTIVATION: Quantification of isoform abundance has been extensively studied at the mature-RNA level...
Single-cell RNA-sequencing is an experimental technique for studying cellular gene expression, with ...
RNA sequencing (RNA-seq) measures gene expression in cell populations at an unprecedented resolution...
Defining a precise map of all genes along with their alternative isoforms and expression across dive...
Abstract The rise in throughput and quality of long-read sequencing should allow unambiguous identif...
The rise in throughput and quality of long-read sequencing should allow unambiguous identification o...
RNA sequencing has become the standard technique for high resolution genome-wide monitoring of gene ...
RNA-Sequencing (RNA-Seq) has enabled detailed unbiased profiling of whole transcriptomes with incred...
RNA-Sequencing (RNA-Seq) has enabled detailed unbiased profiling of whole transcriptomes with incred...
The informational content of RNA sequencing is currently far from being completely explored. Most of...
<p>Numbers of reads in RPM (reads per million mapped reads) are shown on the Y-axis and the genomic ...
With the advent of single-cell RNA-sequencing (scRNA-seq), it is possible to measure the expression ...
Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing...
Since the invention of next-generation RNA sequencing (RNA-seq) technologies, they have become a pow...
RNA-Seq techniques generate hundreds of millions of short RNA reads using next-generation sequencing...
MOTIVATION: Quantification of isoform abundance has been extensively studied at the mature-RNA level...
Single-cell RNA-sequencing is an experimental technique for studying cellular gene expression, with ...
RNA sequencing (RNA-seq) measures gene expression in cell populations at an unprecedented resolution...
Defining a precise map of all genes along with their alternative isoforms and expression across dive...