Practical guides, tutorials, and honest opinions on RNA-Seq, Transcriptomics, Metagenomics and cancer bioinformatics. Written by practitioners, for researchers.
Tutorial
From batch effect blindness to over-relying on p-values — the Differential Gene Expression Analysis errors we see most often in oncology labs, and how to fix each one before you submit.
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Tutorial
From batch effect blindness to over-relying on p-values — the Differential Gene Expression Analysis errors we see most in oncology labs, and how to fix each one.
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Guide
Step-by-step guide to using TCGAbiolinks to validate Differential Gene Expression Analysis results with patient survival data from The Cancer Genome Atlas.
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Opinion
An honest look at why the most popular free RNA-Seq tool creates more Transcriptomics analysis problems than it solves for cancer researchers.
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Tutorial
A practical comparison of the two most widely used Differential Gene Expression Analysis tools and when each is the right choice for your experimental design.
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Metagenomics
A practical guide to choosing between amplicon-based and whole-genome shotgun Metagenomics for cancer microbiome and gut-tumour axis research.
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Guide
Beyond the basics — how to read a volcano plot in the context of your cancer Transcriptomics data rather than just applying fold-change cutoffs.
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Case Study
How a 14-month-old TNBC RNA-Seq dataset was re-analysed with updated pipelines and TCGA validation to produce two novel biomarker candidates ready for submission.
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Metagenomics
How to design a multi-omics study combining shotgun Metagenomics microbiome profiling with host cancer Transcriptomics, and what analysis pipeline to use.
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Opinion
Why statistical significance is the beginning of interpretation in cancer Transcriptomics, not the end — and what peer reviewers are increasingly asking for.
Read article →No product updates. No company news. Just practical RNA-Seq, Transcriptomics and Metagenomics tips from the team.
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