Analysis

Don’t Miss our Exciting Work in RNA Discovery with our Collaborators from Pacific Biosciences and Nugen   (Hint, we will be the ones wearing orange jackets) Representatives from [...]

What defines success for your RNA-seq experiment? It’s a question that we ask a lot around here (aside from “what are you doing for lunch”?). And what are the metrics we can use to answer [...]

You’ve heard us talk plenty of times before on this blog about saturation curves. We generate them for every project because they’re incredibly powerful in helping to understand [...]

Ribosomal RNA (rRNA) constitutes a large majority (> 97%) of the RNA species in any total RNA preparation. Therefore, to uncover the complexity of the < 3% mRNA and non coding RNA in a [...]

Let’s start with what we know, RNA-seq offers a number of advantages over microarrays (high-technical reproducibility, dynamic range and discovery of novel transcripts) when you’re [...]

A late Friday video of [...]

Transcriptome alignments for RNA-seq experiments typically result in a list of tens of thousands of expression values for each sample, most with some difference between samples, including [...]

Clients ask us all the time to identify differential expression of transcript isoforms, and for good reason: we all know isoforms from the same gene can have significantly different structures [...]

As previously reported, Cofactor recently opened up our bioinformatics [...]