Transcriptomics Single-cell and Spatial Transcriptomics: All the cool kids are doing it Single-cell and spatial transcriptomics: What you need to know!
RNA Don't let highly expressed transcripts get the best of your RNA-seq dataset Whole transcriptome sequencing AKA RNA-seq: The good, the bad, the dynamic range?
Transcriptomics Transcriptomes are sometimes more useful than 'whole genomes' Transcriptomes: under-appreciated, underutilized, and sometimes more useful than WGS.
Genetics Ethnic Stratification: Sounds complicated, but in genomics it helps everyone Ethnic stratification and why single reference based analysis methods aren't 'good enough.'
Genomics Pangenomes are here to bring equity to genomics Reference genomes: what they are and why the next big thing in genomics is the human pangenome.
Genetic Screening Low frequency variants are hard to detect, but don't let that stop you from implying you can catch them all Detecting variants can be challenging, especially detecting the ones that aren't very abundant.
Genomic Sequencing Son of a Bias, why does my sequencing dataset look like trash? High throughput sequencing: Biases and how they can get the best of you and your data
DNA I sometimes give Illumina a hard time, but they've commercialized some killer products Illumina is considered by many to have single handedly transformed the field of genomics. They did it by building on the foundation Solexa established in 1997.
High-Throughput Sequencing Q-scores, what they mean, and why sometimes bigger isn't necessary High throughput sequencing metrics: Q-scores, what are they good for?
Genomic Sequencing Everything you ever wanted to know about cluster based and single-molecule sequencing Clusters vs single molecules in DNA sequencing: Here’s the short and the long of it.
Genomics Why short-read sequencing can't ever get us a 'whole genome' Short-reads miss things, or: How I learned to stop worrying and love the long-read.
Genomic Sequencing Counting the things short-reads are good for What's the point of short-reads if long-reads do basically everything in genomics better? There are five, FIVE, *thunderclap*, applications where short reads excel, ah, ah, ah!
Diagnostics Assay failures are common in the clinical lab, here are 5 of my favorites. Troubleshooting assay failures is a second full-time job in R&D. Here are my top 5 'favorite' root causes!
Genomic Sequencing Sequencing libraries and strategies for doing quality control You can't do sequencing without libraries. But you don't know if you have libraries unless you look at them.
Fecal Matters The messiest part of Omics? Dealing with all the different sample types The good, the bad, the...uhhh: Everything you ever wanted to know about all the different Omics sample types!
Genetics Genealogy databases aren't just for finding your relatives anymore The killer app for consumer genetics literally is to catch killers. Here's why:
Metabolome Metabolomics: Hype or Heroine? How does the promise of metabolomics stack up against our current reality? It’s complicated.
Microbiomics Pangenomes: the coolest new thing in human genetics got its start in bacteria. No, seriously! Bacteria are complicated. We invented pangenomes to better understand them.
Multi-Omics Genetic Determinism: What it is and how we can avoid it with multi-omics One thing we constantly battle in genomics is, “What does it all mean?”
Microbiomics We’ve known since the time of Pavlov that there’s a connection between our gut and brain; now we know our microbiomes play a role in that game of telephone too! The gut-brain axis: now with microbes!
Microbiomics Pathobionts: The opportunists hiding in our microbiomes The microbes we co-exist with can be friends, foes, or just along for the ride. They can also switch between being all of those things…
Microbiomics Clinical applications of the microbiome are still very much a work in progress What's the clinical usefulness of a microbiome? We’re still trying to figure that part out!
