Blog Posts
This is a collection of blog posts from our website that you might find of interest.
The answer no one wants to hear
Using trajectory analysis to determine their fate
Transcriptome-wide studies of gene expression certainly provide invaluable insight into biology on a molecular level, particularly when performed at the single-cell level
Which tools to use for single cell analysis
Can nuisance batch effects or undesirable numeric or categorical factors be removed?
Step one in performing single cell analysis
A review of spatial transcriptomic analysis
Comparing gene expression levels across samples
We discuss the advantages of simultaneous gene and protein expression measurement.
Let’s discuss how to make multi-omics integration analysis and integration seamless by bringing all your analysis tools and data together.
Using tasting results of 86 different Scotch malts, let’s explore how you can apply statistical tools to non-genomic data.
With the human genome being extensively described and studies of the proteome well under way, is the glycome is the final frontier?
Cells are sometimes mysterious and do not readily reveal their true identity. Here’s how to identify their biological nature.
Custom smRNA-Seq pipeline in Partek Flow to deduce expression of ~32,000 human piRNAs per sample.
How well does Partek Flow software analyze non-model organism data, without having to deal with any command-line tools?
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