Category Archives: Genomics

How You ‘Pre-Treat’ Your Data Really Matters (It’s Not the P-Hacking)

There’s an 538 article “Science Isn’t Broken” that’s winding its way through the tubes of the internet. It has a cool ‘p-hacking’ interactive feature, which is probably why most of the associated commentary has focused on the problem of p-hacking … Continue reading

Posted in Education, Genomics, Statistics | Leave a comment

A Question About Oxford Nanopore and the Cost Model

This is the first mention of how much the much-vaunted Oxford Nanopore sequencing technology might cost (boldface mine): Oxford Nanopore said last month that it plans to make the MinIon sequencer commercially available through the MinIon Access Program. Customers need … Continue reading

Posted in Genomics, Public Health | 4 Comments

Thoughts on the Promises of Big Genomics

Last week, David Dobbs wrote a piece about Big Genomics, in which he took a critical look at the Human Genome Project (‘HGP’). Below are some thoughts about his piece and ‘Big Genomics’; this shouldn’t be construed as a ‘response’: … Continue reading

Posted in Genomics | 5 Comments

A Visual Image of What “Understand the Limitations of Your Data” Means

One of the things I’ve repeated on this blog a few times is people have to like this crap you have to understand the limitations of your data. In a good Nature piece about how the problems with using p-values … Continue reading

Posted in Genomics, Statistics | 1 Comment

Misunderstanding the Progression of Big Science

In an interesting article about large-scale science projects (aka ‘Big Science’), Tim Requarth wrote this, which seems to have received a lot of support in the intertoobz (or at least the Twitterz; boldface mine): But here may be the real … Continue reading

Posted in Genomics

Ion Torrent Makes a Move: Bacterial Epidemiology

I’ve argued repeatedly that the obvious, near-term commercialization of genomics isn’t human genomics, but microbial genomics: …microbial genomes are cheap, fast, and you can provide epidemiologically relevant information to clinical laboratories, hospital networks, and public health departments. I’m not arguing … Continue reading

Posted in Genomics

I Have Your Genomics Killer App Right Here, Pal

When I first saw this TechCrunch article “Genomics Needs A Killer App“, I thought it was April Fool’s Day come early (an aside: how about funding the applied genetics we already know to do? Just asking). But in fact, it … Continue reading

Posted in Bidness, Genomics, Public Health | 1 Comment