There are so many intangible benefits supporting users of your open source #Bioinformatics, but at some point you have to get paid for it. The folks asking the questions are getting paid, so why not us?
I don't get it. The @humancellatlas project is organizing a meeting in July to "continue progress towards building the first draft of the Human Cell Atlas" (see https://t.co/yGrt0CLzmY), but a first-draft human cell atlas was already published a year ago! https://t.co/kJqTUwaiYz
Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing | Nature Methods https://t.co/W1v2unCxh2
bioRxiv now does not accept preprints on bioinformatics tools alone. If I have an announcement of a tool that I want to get out into the world right away, rather than in 6 months after it goes through peer review, what are some other options?
I spent six months analyzing data that took three days to generate and I think that’s fairly representative of my experience with the dry/wetlab ratio in single cell genomics
Excited to announce the *first* complete telomere-to-telomere assembly of a human autosome: chromosome 8! We resolved every gap in chromosome 8, including the centromere! https://t.co/EWVTr1sfbB #T2T
Just read a cool paper (https://t.co/1vdgs1KvSD @burkhard_mstern). Main idea, as I extrapolate it: by measuring Jaccard at two values of k instead of 1, we can estimate ANI even if the sequences share a lot of non-homologous segments. Mash and similar tools fail in this case.
I've been developing & teaching this GWAS course since 2009, but will not be teaching it anymore. Some of the material survived since 2009, some of it only appeared recently. Feel free to use anything, this link contains slides, literature, and practicals:
https://t.co/yY1nqPkd7z
#SARSCoV2 pangenome made from 50 genomes in genbank. Top, graph viz and detail showing SNP bubbles. Middle: matrix view of genomes versus nodes in the graph. Bottom: genes versus the pangenome. CC @jervenbolleman@simonheumos@JosiahSeaman