![]() We also find evidence that single-cell variability of neuronal genes in mice is correlated with that in rats consistent with the hypothesis that levels of variation may be conserved. All cell types include genes with high variability in expression, in a tissue-specific manner. We develop methods to filter genes for reliable quantification and to calibrate biological variation. ![]() We find that transcriptomes differ globally across tissues with regard to the number of genes expressed, the average expression patterns, and within-cell-type variation patterns. We present high quality deep read-depth single-cell RNA sequencing for 91 cells from five mouse tissues and 18 cells from two rat tissues, along with 30 control samples of bulk RNA diluted to single-cell levels. Additionally, single-cell transcriptomics presents unique analysis challenges that need to be addressed to answer this question. This brings into question the relationship between transcriptome states and cell phenotypes. Please note our licence (freeware) for this product before you use the software.Differentiation of metazoan cells requires execution of different gene expression programs but recent single-cell transcriptome profiling has revealed considerable variation within cells of seeming identical phenotype. Pay as much as you want! This software can be downloaded for free and you can use it without any restrictions for non-commercial purposes. Windows, Linux and macOS Linux, Windows and macOS macOS, Windows and Linux More languages.ġ.75 MB to 3.64 MB - depending on the Program Version ![]() English, Dansk (Danish), Deutsch (German), Español (Spanish), Français (French), Italiano (Italian), Nederlands (Dutch), Polski (Polish), Português do Brasil (Brazilian Portuguese), Русский (Russian), العربية (Arabic), 日本語 (Japanese) and 简体中文 (Simplified Chinese).
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