Bioinformatics: The Missing Semester
Aneesa ValentineA practical guide to bioinformatics methods every modern bioinformatician should know, but never got taught. From omics to machine learning, cloud computing and workflow automation, this series fills the gaps with clear, hands on insights for researchers.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 8 | Founded | a year ago | Last Issue | 3 months ago |
| Active | |||||
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The Missing Semester: AI in Genomics
Welcome to Module 4: AI of Bioinformatics: The Missing Semester!
Disclaimer: this is a long one.
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Introduction
In...
The Missing Semester: Containerization
Welcome to Lesson 1 in Module 3: Scale of Bioinformatics: The Missing Semester!
Introduction
Thus far, we’ve been learning as isolated bioinformaticians. In Module 1, we learned how to conduct boilerplate analyses on three different...
The Missing Semester: Multi-omics
Welcome to Module 2: Multi-omics of Bioinformatics: The Missing Semester!
Introduction
While each -omics data modality provides valuable insight, when combined, we can extract comprehensive biological patterns to help us answer compl...
The Missing Semester: Proteomics
Welcome to Lesson 3 in Module 1: Data types, of Bioinformatics: The Missing Semester!
Throughout this series, we’ve been talking about data derived from cellular gene expression; both RNA and spatial transcriptomics readouts.
Thanks for r...
The Missing Semester: Spatial Transcriptomics
Welcome to Lesson 2 in Module 1: Data types, of Bioinformatics: The Missing Semester!
Introduction
In this write-up, we’ll be covering an analysis of spatial transcriptomics data. It is worth mentioning that this workflow is non-exha...
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Authors
The writers behind this newsletter.
Research scientist turned engineer making data science and engineering in biology accessible | Bioinformatics instructor | Need hands-on bioinformatics training? Drop me a line @ [email protected].
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