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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators (Perturb-seq data)

Authors: Madeline H Kowalski; Hans-Hermann Wessels; Johannes Linder; Saket Choudhary; Austin Hartman; Yuhan Hao; Isabella Mascio; +3 Authors

CPA-Perturb-seq: Multiplexed single-cell characterization of alternative polyadenylation regulators (Perturb-seq data)

Abstract

This site provides access to datasets from the CPA-Perturb-seq manuscript Kowalski*, Wessels*, Linder* et al., including processed Perturb-seq datasets from HEK293FT and K562. We release these data as Seurat objects, where each object contains single-cell quantifications of gene expression (RNA assay), and in addition, quantifications of polyA site usage (polyA site assay). To explore these data, please install the PASTA (PolyA Site analysis using relative Transcript Abundance) package, which provides infrastructure and analytical tools to explore alternative polyadenylation at single-cell resolution. For each dataset, we also include a fragment file which enables visualization of read coverage plots across groups of cells. The files include: 1. CPA_HEK293FT.Rds: Seurat object containing the HEK293 CPA-Perturb-seq dataset 2. CPA_HEK293FT_fragments.tsv.gz : Fragment file for the HEK293 dataset 3. CPA_HEK293FT_fragments.tsv.gz.tbi : Fragment file index for the HEK293 dataset 4. CPA_K562.Rds : Seurat object containing the K562 CPA-Perturb-seq dataset 5. CPA_K562_fragments.tsv.gz : Fragment file for the K562 dataset 6. CPA_K562_fragments.tsv.gz.tbi : Fragment file index for the K562 dataset R code below: library(PASTA) hek <- readRDS("CPA_HEK293FT.Rds") # remove fragment file information Fragments(hek) <- NULL # Update the path of the fragment file Fragments(hek) <- CreateFragmentObject(path = "download/CPA_HEK293FT_fragments.tsv.gz", cells = Cells(hek)) # visualize polyA site usage PolyACoveragePlot(hek, region ="7-26212195-26213351")

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average