I have been thinking about the papers that taught me the most about algorithms in genomics as a grad student. The SSAHA paper's discussion of hash-based alignment is way up there. The discussion around Table 1 and 2 was a serious AHA for me. https://t.co/C6S4YC7fGG
Genetics and genomics both play significant roles in health and disease, but what’s the difference between the two? Learn the basics in our fact sheet. https://t.co/HpHrjLm6Ff
Been putting together some documents for writing. Came up with this list of "Words to avoid when writing" to be a concrete list of things to search for and replace, along with examples of why they're bad and how to correct them. https://t.co/fqZjGvFPJY
New interactive post: "Understanding Maximum Likelihood"
I try to illustrate the maximum likelihood method. I've also included the likelihood ratio test, Wald test, and Score test.
https://t.co/LlWcgOkw8t
The origins of genetic variation in the human soma -- #Figure from our Review: Mosaicism in health and disease — clones picking up speed https://t.co/C7eIoaFLWn #SharedIt
Our NEW Review out NOW from @GoetzJacky@paultimpson7 & colleagues from @INSERM@GarvanInstitute discusses the role of bodily fluids & their underlying forces & imposed stresses in shaping #metastasis. Why not have a read here....
https://t.co/UES9C0Jm7s @NatResCancer
1/ #EpiTwitter tweetstorm coming
Warning: strong opinions
The analysis is naive and the findings are ridiculous; the fact that it was published is a sign that when medical journal editors hear "deep learning AI" their brains stop working.