# Blog Posts

This is a collection of blog posts from our website that you might find of interest.

### [How to select the best single cell quality control thresholds](https://help.connected.illumina.com/partek/partek-flow/blog-posts/how-to-select-the-best-single-cell-quality-control-thresholds)

The answer no one wants to hear

### [Using trajectory analysis to study cellular differentiation in single cell RNA-Seq experiments](https://help.connected.illumina.com/partek/partek-flow/blog-posts/using-trajectory-analysis-to-study-cellular-differentiation-in-single-cell-rna-seq-experiments)

Using trajectory analysis to determine their fate

### [Tissue transcriptomics—what’s the big deal and why you should do it](https://help.connected.illumina.com/partek/partek-flow/blog-posts/spatial-transcriptomics-whats-the-big-deal-and-why-you-should-do-it)

Transcriptome-wide studies of gene expression certainly provide invaluable insight into biology on a molecular level, particularly when performed at the single-cell level

### [Less is more: detecting differential gene expression in single cell RNA-Seq analysis](https://help.connected.illumina.com/partek/partek-flow/blog-posts/less-is-more-detecting-differential-gene-expression-in-single-cell-rna-seq-analysis)

Which tools to use for single cell analysis

### [Batch remover for single cell data](https://help.connected.illumina.com/partek/partek-flow/blog-posts/batch-remover-for-single-cell-data)

Can nuisance batch effects or undesirable numeric or categorical factors be removed?

### [How to perform single cell RNA sequencing: exploratory analysis](https://help.connected.illumina.com/partek/partek-flow/blog-posts/how-to-perform-single-cell-rna-sequencing-exploratory-analysis)

Step one in performing single cell analysis

### [Single Cell Multiomics Analysis: Strategies for Integration](https://help.connected.illumina.com/partek/partek-flow/blog-posts/single-cell-multiomics-analysis-strategies-for-integration)

Strategies for integrating single cell RNA-Seq multiomic data

### [Pathway Analysis: ANOVA vs. Enrichment Analysis](https://help.connected.illumina.com/partek/partek-flow/blog-posts/pathway-analysis-anova-vs.-enrichment-analysis)

Comparing gene expression levels across samples

### [Studying Immunotherapy with Multiomics: Simultaneous Measurement of Gene and Protein Expression](https://help.connected.illumina.com/partek/partek-flow/blog-posts/studying-immunotherapy-with-multimodal-omics-simultaneous-measurement-of-gene-and-protein)

We discuss the advantages of simultaneous gene and protein expression measurement.

### [How to Integrate ChIP-Seq and RNA-Seq Data](https://help.connected.illumina.com/partek/partek-flow/blog-posts/how-to-integrate-chip-seq-and-rna-seq-data)

Let’s discuss how to make multi-omics integration analysis and integration seamless by bringing all your analysis tools and data together.

### [Enjoy Responsibly!](https://help.connected.illumina.com/partek/partek-flow/blog-posts/enjoy-responsibly)

Using tasting results of 86 different Scotch malts, let’s explore how you can apply statistical tools to non-genomic data.

### [To Boldly Go…](https://help.connected.illumina.com/partek/partek-flow/blog-posts/to-boldly-go...)

With the human genome being extensively described and studies of the proteome well under way, is the glycome is the final frontier?

### [Get to Know Your Cell](https://help.connected.illumina.com/partek/partek-flow/blog-posts/get-to-know-your-cell)

Cells are sometimes mysterious and do not readily reveal their true identity. Here’s how to identify their biological nature.

### [Aliens Among Us: How I Analysed Non-Model Organism Data in Partek Flow](https://help.connected.illumina.com/partek/partek-flow/blog-posts/aliens-among-us-how-i-analyzed-non-model-organism-data-in-partek-flow)

How well does Partek Flow software analyze non-model organism data, without having to deal with any command-line tools?