TY - JOUR
T1 - PieParty
T2 - visualizing cells from scRNA-seq data as pie charts
AU - Kurtenbach, Stefan
AU - Dollar, James J.
AU - Cruz, Anthony M.
AU - Durante, Michael A.
AU - Decatur, Christina L.
AU - Harbour, J. William
N1 - Publisher Copyright:
© 2021 Stefan et al.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - Single-cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions for cells to be clustered in biologically meaningful ways. Subsequently, gene expression is frequently mapped onto these plots to show the distribution of gene expression across the plots, for instance to distinguish cell types. However, plotting each cell with only a single color leads to repetitive and unintuitive representations. Here, we present PieParty, which allows scRNA-seq data to be plotted such that every cell is represented as a pie chart, and every slice in the pie charts corresponds to the gene expression of a single gene. This allows for the simultaneous visualization of the expression of multiple genes and gene networks. The resulting figures are information dense, space efficient, and highly intuitive. PieParty is publicly available on GitHub at https://github.com/harbourlab/PieParty.
AB - Single-cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions for cells to be clustered in biologically meaningful ways. Subsequently, gene expression is frequently mapped onto these plots to show the distribution of gene expression across the plots, for instance to distinguish cell types. However, plotting each cell with only a single color leads to repetitive and unintuitive representations. Here, we present PieParty, which allows scRNA-seq data to be plotted such that every cell is represented as a pie chart, and every slice in the pie charts corresponds to the gene expression of a single gene. This allows for the simultaneous visualization of the expression of multiple genes and gene networks. The resulting figures are information dense, space efficient, and highly intuitive. PieParty is publicly available on GitHub at https://github.com/harbourlab/PieParty.
UR - http://www.scopus.com/inward/record.url?scp=85102608756&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102608756&partnerID=8YFLogxK
U2 - 10.26508/lsa.202000986
DO - 10.26508/lsa.202000986
M3 - Article
C2 - 33674364
AN - SCOPUS:85102608756
SN - 2575-1077
VL - 4
JO - Life Science Alliance
JF - Life Science Alliance
IS - 5
ER -