If you missed my presentation at #BOSC2024, I just put up a version on YouTube
| Website | https://luispedro.org |
| Google scholar | https://scholar.google.com/citations?user=qTYua0cAAAAJ |
Luis Pedro Coelho
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- 38 Posts
Streaming in one hour
Extremely Open Science Stream
Axel ViselNice N&V Forum by @JakobWirbel, Ami Bhatt, Alexander Probst discussing how this study and the related Rodríguez del Río et al. provide insight into the vast structural and functional diversity of previously unknown microbial protein families
New experiment: I will work on a project (starting question: what antibiotic resistance genes co-occur in genomes/metagenomes and does it matter?) completely in the open
Everyone is welcome!
First stream is on Monday/Tuesday (depending on your timezone)
Extremely Open Science Part 1 : introduction
Bork Group at EMBL HeidelbergA new preprint from the lab of @luispedro in collaboration with our group, making use of our SPIRE database of global microbiome data to identify 965 million non-redundant small open reading frames (<100 amino acids) https://www.biorxiv.org/content/10.1101/2023.12.27.573469v1?med=mas
New video: "The GMGC as a window into the global microbiome" on YouTube
https://youtu.be/L7YWtYVoI8U
https://youtu.be/L7YWtYVoI8U
The GMGC as a window into the global microbiome
Jarrett WalkerWe biology geeks may sound elitist when we use scientific names instead of common names, but we're really just trying to avoid this:
yetztpowerful datavis can be simple and non-graphical.
here's a project of mine from a good while ago: "autocomplete" for passwords, based on all passwords extracted from the "collection leaks".
Miguel F. RomerometaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies https://doi.org/10.1186/s13059-022-02810-y #microbiology #bioinformatics
metaMIC: reference-free misassembly identification and correction of de novo metagenomic assemblies - Genome Biology
Evaluating the quality of metagenomic assemblies is important for constructing reliable metagenome-assembled genomes and downstream analyses. Here, we present metaMIC ( https://github.com/ZhaoXM-Lab/metaMIC ), a machine learning-based tool for identifying and correcting misassemblies in metagenomic assemblies. Benchmarking results on both simulated and real datasets demonstrate that metaMIC outperforms existing tools when identifying misassembled contigs. Furthermore, metaMIC is able to localize the misassembly breakpoints, and the correction of misassemblies by splitting at misassembly breakpoints can improve downstream scaffolding and binning results.
Nicole Knoetze 🇨🇦🇿🇦Hi, I guess this is my #introduction? I'm a Bioinformatics student interested in machine learning, genomics, and in vivo gene therapy. When I'm not doing science, I'm usually obsessing over your dog, being a coffee snob, running my beer club, or I'm at the hockey rink.
Now, I promise I'm good at computer science, but my skills seem to be limited to science and I am not understanding how on EARTH to log onto this platform directly from the app 😂