Adam Phillippy
@aphillippy.bsky.social
5K followers 330 following 190 posts
Finished a human genome, working on a few more 👨‍💻 Lab: https://genomeinformatics.github.io Posts are my own
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Reposted by Adam Phillippy
jmschreiber91.bsky.social
Now that I'm settled in at @umasschan.bsky.social, I'm hiring at all levels: grad students, post-docs, and software engineers/bioinformaticians!

The goal of my lab is to understand the regulatory role of every nucleotide in our genomes and how this changes across every cell in our bodies.
Reposted by Adam Phillippy
robp.bsky.social
And it's posted! If you're interested and eligible, please consider applying through the UMD portal: umd.wd1.myworkdayjobs.com/en-US/UMCP/j....

If you're a PI working in algorithmic genomics (& you can recommend my lab to your top graduating students ;P), please let them know!
aphillippy.bsky.social
Yes, some embryos should be unaffected or balanced ROB carriers. The page I pulled that original image from lists some rates at the bottom for Downs: mymds.bham.ac.uk/genetics/rob...
aphillippy.bsky.social
Thanks, Harmit! My group still talks about your NHGRI seminar from a few years back. Many minds were blown that day. Changed the way we think!
aphillippy.bsky.social
Human Chr2 was probably the result of a telomeric fusion of two (sub)metacentrics, rather than a Robertsonian fusion of two acrocentrics, but either way the explanation for how it could fix so quickly is probably meiotic drive. Summons @harmitmalik.bsky.social to correct me if I'm wrong
aphillippy.bsky.social
How Robertsonian chromosomes can lead to miscarriage or trisomy explained in one great figure from Human Molecular Genetics (Strachan and Read) that I have referred to many times
aphillippy.bsky.social
🚂 The T2T train keeps rolling: "The formation and propagation of human Robertsonian chromosomes" with Gerton and Garrison labs is out! What's a Robertsonian chromosome? Let Jen tell you herself in this great video, or read our paper: [1/3]
📺 youtu.be/JmlY5omxQVc
📄 www.nature.com/articles/s41...
How Stowers Scientists Found the DNA Site Where Robertsonian Chromosomes Fuse
YouTube video by Stowers Institute for Medical Research
youtu.be
Reposted by Adam Phillippy
rrwick.bsky.social
New blog post!

metaMDBG (@gaetanbenoit.bsky.social) and Myloasm (@jimshaw.bsky.social) have had recent releases, so I updated the benchmarks from the Autocycler paper:
rrwick.github.io/2025/09/23/a...

Both tools improved considerably! Time to update your conda environments 😄
Benchmark update: metaMDBG and Myloasm
a blog for miscellaneous bioinformatics stuff
rrwick.github.io
aphillippy.bsky.social
Yes, that's what I'm looking for. @gringene.org suggested an entropy based metric in another thread and I have also been thinking along those lines
aphillippy.bsky.social
I would classify this as a type of bias having to do with the sequencing chemistry. I *think* this particular example is due to a weakness of the ILMN 2-color chemistry. There are also context biases, like non-B DNA increasing the error rates of the single-molecule techs, etc. etc.
aphillippy.bsky.social
Yes, and I think this is what happens when people measure the accuracy of variant calls, because those calls have tried to correct the underlying error, but as a metric this confounded by depth of coverage, the variant calling model used, etc. It would be nice to have a metric closer to the data
aphillippy.bsky.social
Another complicating problem is the alignments. E.g. if the aligner right-justifies all the indels, it will look like "bias" in the pileup, so will need to think about this a bit more carefully
aphillippy.bsky.social
Yes, measuring entropy of the pileups was one of my thoughts as well. Thanks for the link. Still need to think a bit if it should be measured over the alignment columns alone (i.e. variants), or also the rows (reads), or both
aphillippy.bsky.social
Well, we're interested in _all_ the biases and I guess this is why we go hung up deciding which to show. Too many to choose from :) If some popular requests emerge, we will implement them in the benchmarking tool
aphillippy.bsky.social
More from HG002: This figure shows the incredible progress of de novo assembly over the past 5 years. Ash1 was a good "collapsed haplotype" assembly from 2020. Now we have single-tech solutions (ONT 6B4) that can produce nearly perfect diploid assemblies out of the (HERRO/Verkko) box 🤯
aphillippy.bsky.social
A couple editorial notes: (1) Element is Aviti UltraQ, ILMN is NovaSeq PCR-Free. (2) This is showing *per read* accuracy, which doesn't capture the randomness of the errors. Random (uniform) errors are better, but we couldn't decide on a metric for showing this. Suggestions welcome
npmalfoy.bsky.social
This figure is extremely interesting, very surprising and exciting results from current state of sequencing technologies!
aphillippy.bsky.social
Don't get too excited, @rakyanlab.bsky.social, rDNAs are still a problem 😅