SeqGeq™ [seek-geek] analyzes gene expression data—particularly from single-cell RNA sequencing. SeqG...
SeqGeq™ [seek-geek] analyzes gene expression data—particularly from single-cell RNA sequencing (scRN...
For closed captions follow this link: https://flowjo.wistia.com/medias/ijdxna8mipInstallInstallers f...
Loading DataDragging and dropping data into the SeqGeq workspace will load that data within the plat...
GatingGating tools are available at the top of SeqGeq’s Graph Window which can be opened by double-c...
Quality ControlThe first step in analyzing data will typically be to perform some quality control. C...
Dimensionality ReductionDimensionality reduction is an invaluable tool for analyzing high parameter...
ClusteringSeqGeq currently (v1.4.0) offers K-Means clustering within the Clustering platform. K-Mean...
Differential ExpressionDifferential Expression analysis is a way of identifying genes significantly...
Geneset EnrichmentMany services exist to derive biological insite simply by taking as input a set of...
ExportsNearly all of the information derived from SeqGeq can be exported for publication or further...
PluginsPlugins for SeqGeq add a great deal of new features and improved functionality. Download the...
Analytical Gene SetA list of genes created in Gene View, and which also has a geometric/threshold de...
Quality control (QC) in single-cell RNA sequencing is extremely important at every stage of the work...
Currently, SeqGeq gives three ways to reduce dimensionality. Each one of them performs a different c...
The two major methods for clustering in SeqGeq are KMeans and KNearest Neighbors.For more informatio...
