Molecular Biology Software
Applications | For Molecular Biology |
Function | Analysis, Visualization |
Operating System | Windows, Macos |
Exploring single cell data requires a novel visual canvas.input:
output:The road map to single-cell data analysis
Even in the absence of bioinformatics assistance, our software tools facilitate the processing, visualization, and exploration of your single cell data.input:
output:Cell Ranger analysis pipelines
Convert raw sequences into single-cell insights
Cell Ranger is a collection of free analysis pipelines that are designed to process Chromium Single Cell data.
Begin by utilizing Cell Ranger to align reads, generate cell-feature matrices, and conduct secondary analysis and clustering.
Cell Ranger is capable of processing raw sequencing data, performing quality control, identifying cell barcodes, and quantifying gene expression levels at the single cell level.input:
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Cloud Analysis is a web application that facilitates the execution of Cell Ranger, thereby expediting the time to results.
Cloud Analysis enables you to access Cell Ranger through your web browser. Accessible in Canada and the United States.input:
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Loupe BrowserThere are ten methods to explore your data using the Loupe Browser.Loupe Browser is a desktop application that enables the interactive visualization of data on Windows and MacOS.input:
output:OneMake a deeper dive into your Seurat analysis with Loupe, no coding required.LoupeR is a R package that generates a Loupe Browser file from a Seurat object.input:
output:Use LoupeR to effortlessly investigate Seurat data in Loupe without the need for command-line data manipulation.input:
output:2. Identify genes that exhibit differential expression in experiments comparing treatment and control.
Perform and iterate on multi-sample comparisons with ease.input:
output:3Immediately observe the expression of your preferred genes.input:
output:FourImmediately generate a plot of your differential expression results.
Investigate violin plots and interactive heat maps of genes that exhibit differential expression.input:
output:5. Cell types can be easily annotated.


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