amazon-genomics-cli-demos
serratus
amazon-genomics-cli-demos | serratus | |
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1 | 4 | |
3 | 243 | |
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0.0 | 0.0 | |
about 2 years ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT No Attribution | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
amazon-genomics-cli-demos
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Profiling workflows with the Amazon Genomics CLI
Importantly, the method above can be used for any workflow that AGC can run so you don’t have to remember engine specific details of how to get such profiling information. This opens up the possibility of comparing the performance a workflow across workflow engines, which is something I’ll explore further in a future blog post. In the meantime, I recommend generating some plots of your own! All the Python code I used above is available in Github.
serratus
- Ask HN: What Are You Working on This Year?
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Ask HN: Who is hiring? (January 2023)
The Laboratory for RNA-Based Lifeforms | University of Toronto | Full-Time | ONSITE
We're a research computational biology lab at the forefront of RNA virus and virus-like agent discovery. Our goal is to help prevent the next pandemic by building the technical infrastructure to assist global virology research and public-health responses.
Seeking a full-stack developer who is creative, passionate, and willing to learn. No biology experience neccesary, but are a plus. Key assets: Python/R, AWS/HPC, postgres, javascript. See full job posting: http://rrna.ca/id0002
See: Serratus (https://serratus.io)
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Software engineers: consider working on genomics
Serratus (https://github.com/ababaian/serratus) is an OSS bioinformatics project created by a passionate group of volunteers. Short story is we're re-analyzing all of the world's DNA/RNA sequencing data to find new viruses that other people have missed. It works surprisingly well, but there's a ton left to do.
What are some alternatives?
full_spectrum_bioinformatics - An open-access bioinformatics text
atproto - Social networking technology created by Bluesky
awscurl - curl-like access to AWS resources with AWS Signature Version 4 request signing.
tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial
amazon-genomics-cli
bioconda-recipes - Conda recipes for the bioconda channel.