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fluidigm scrna-seq platform fluidigm c1
We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. <t>10x</t> Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.
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We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. <t>10x</t> Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.
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We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. <t>10x</t> Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.
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fluidigm c1 chip
We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. <t>10x</t> Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.
C1 Chip, supplied by fluidigm, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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94
fluidigm platforms
We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. <t>10x</t> Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.
Platforms, supplied by fluidigm, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. 10x Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.

Journal: Journal of Biomolecular Techniques : JBT

Article Title: Comparative Analysis of Single-Cell RNA Sequencing Platforms and Methods

doi: 10.7171/3fc1f5fe.3eccea01

Figure Lengend Snippet: We show basic statistics of the single-cell data. (A) The plot shows the number of reads sequenced versus the number of cells targeted for each technology. 10x Genomics targeted the most cells. (B) Violin plots showing the number of genes detected in all cells. The plot shows all cells without quality filtering. (C) The bar plot shows whether the targeted cells were actually detected and passed the QC filtering for each technology.

Article Snippet: Here, we report scRNA-seq data from SUM149PT cells treated with the histone deacetylase inhibitor trichostatin A versus untreated controls across several scRNA-seq platforms (Fluidigm C1, WaferGen iCell8, 10x Genomics Chromium Controller, and Illumina/BioRad ddSEQ).

Techniques: