Pablo Riesgo-Ferreiro

45 Followers
110 Following
77 Posts
Kudos to everyone involved in the project and thanks to Intel's Pandemic Response Technology Initiative for partly funding this project.

We got our #CoVigator pipeline and dashboard for monitoring SARS-CoV-2 published. The dreadful COVID-19 has brought the largest sampling of a viral pandemic with molecular resolution. This comes with challenges and opportunities to understand and predict viral evolution. In the spirit of #opendata we make available a large dataset of clonal and intrahost mutations together with geographical and temporal metadata derived from public resources.

https://www.mdpi.com/2347100 #mdpiviruses @VirusesMDPI

CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants

Background: The outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in the global COVID-19 pandemic. The urgency for an effective SARS-CoV-2 vaccine has led to the development of the first series of vaccines at unprecedented speed. The discovery of SARS-CoV-2 spike-glycoprotein mutants, however, and consequentially the potential to escape vaccine-induced protection and increased infectivity, demonstrates the persisting importance of monitoring SARS-CoV-2 mutations to enable early detection and tracking of genomic variants of concern. Results: We developed the CoVigator tool with three components: (1) a knowledge base that collects new SARS-CoV-2 genomic data, processes it and stores its results; (2) a comprehensive variant calling pipeline; (3) an interactive dashboard highlighting the most relevant findings. The knowledge base routinely downloads and processes virus genome assemblies or raw sequencing data from the COVID-19 Data Portal (C19DP) and the European Nucleotide Archive (ENA), respectively. The results of variant calling are visualized through the dashboard in the form of tables and customizable graphs, making it a versatile tool for tracking SARS-CoV-2 variants. We put a special emphasis on the identification of intrahost mutations and make available to the community what is, to the best of our knowledge, the largest dataset on SARS-CoV-2 intrahost mutations. In the spirit of open data, all CoVigator results are available for download. The CoVigator dashboard is accessible via covigator.tron-mainz.de. Conclusions: With increasing demand worldwide in genome surveillance for tracking the spread of SARS-CoV-2, CoVigator will be a valuable resource of an up-to-date list of mutations, which can be incorporated into global efforts.

MDPI

We got our #CoVigator pipeline and dashboard for monitoring SARS-CoV-2 published. The dreadful COVID-19 has brought the largest sampling of a viral pandemic with molecular resolution. This comes with challenges and opportunities to understand and predict viral evolution. In the spirit of #opendata we make available a large dataset of clonal and intrahost mutations together with geographical and temporal metadata derived from public resources.

https://www.mdpi.com/2347100 #mdpiviruses @VirusesMDPI

CoVigator—A Knowledge Base for Navigating SARS-CoV-2 Genomic Variants

Background: The outbreak of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) resulted in the global COVID-19 pandemic. The urgency for an effective SARS-CoV-2 vaccine has led to the development of the first series of vaccines at unprecedented speed. The discovery of SARS-CoV-2 spike-glycoprotein mutants, however, and consequentially the potential to escape vaccine-induced protection and increased infectivity, demonstrates the persisting importance of monitoring SARS-CoV-2 mutations to enable early detection and tracking of genomic variants of concern. Results: We developed the CoVigator tool with three components: (1) a knowledge base that collects new SARS-CoV-2 genomic data, processes it and stores its results; (2) a comprehensive variant calling pipeline; (3) an interactive dashboard highlighting the most relevant findings. The knowledge base routinely downloads and processes virus genome assemblies or raw sequencing data from the COVID-19 Data Portal (C19DP) and the European Nucleotide Archive (ENA), respectively. The results of variant calling are visualized through the dashboard in the form of tables and customizable graphs, making it a versatile tool for tracking SARS-CoV-2 variants. We put a special emphasis on the identification of intrahost mutations and make available to the community what is, to the best of our knowledge, the largest dataset on SARS-CoV-2 intrahost mutations. In the spirit of open data, all CoVigator results are available for download. The CoVigator dashboard is accessible via covigator.tron-mainz.de. Conclusions: With increasing demand worldwide in genome surveillance for tracking the spread of SARS-CoV-2, CoVigator will be a valuable resource of an up-to-date list of mutations, which can be incorporated into global efforts.

MDPI
@elduvelle
I post this like 1000 times a day but for reference for anyone stumbling by: https://jon-e.net/infrastructure/#the-costs-of-infrastructure-deficits
Decentralized Infrastructure for (Neuro)science

Decentralized Infrastructure for (Neuro)science
#Python users: beware that the use of PyPI as an attack vector continues and the perpetrators are trying new methods. Targeted packages include Pandas, Beautiful Soup, PyInstaller, Scrapy, TensorFlow, PyTorch, and others.
https://arstechnica.com/information-technology/2023/02/451-malicious-packages-available-in-pypi-contained-crypto-stealing-malware/?utm_brand=arstechnica
Latest attack on PyPI users shows crooks are only getting better

The code found in the malicious packages closely resembled legit offerings.

Ars Technica

Why my news section in the Android client is full of Washington Post articles behind a pay wall? Is this list built from the people I follow?

#mastodonhelp

I've been watching this grow behind the scenes at @SeqeraLabs and couldn't believe it when I first saw the results 🤩 Fusion was built specifically for @nextflowio so is able to do some nifty tricks for performance 🚀 Read how see the full benchmark: https://seqera.io/blog/breakthrough-performance-and-cost-efficiency-with-the-new-fusion-file-system/
Breakthrough performance and cost-efficiency with the new Fusion file system

An overview of the Fusion 2.0 file system and benchmarks comparing Fusion to alternative approaches to data handling in Nextflow.

#github I have ~80 repos. I'd like to add github `actions` to almost all of these.

But I can't find a page that lists the status of all my `actions` (do they exist? are they passing?) Is there a secret page for this?

#githubactions

Apparently my job here on #Mastodon is to boost a LOT of posts. And I'm OK with that, really. Most of you seem to like it. 🤷‍♀️

But as a periodic reminder for those who might be overwhelmed by it all, you don't have to unfollow or mute me to turn off the firehose.

Simply click on my avatar to see my profile and then click on the "..." menu to choose "Hide boosts from donmelton."

That's it. That will turn off the spigot but still show posts like this one.

Thanks for following! ❤️

Something I learnt about only recently (it may have been on here): for many arxiv preprints, if you replace the "x" in the url with a "5", you will get a nice accessible html  version!

example:
https://ar5iv.org/abs/2203.08489

Works quite well for reading on your phone in the train for example 👍