New in #Seqera #Containers: you can now edit the #conda environment.yaml directly to control how your container is built. 📦 📄 ✍️
The UI also shows how to do the same with the Wave CLI in your terminal, which also saves to Seqera Containers.
Short demo: https://youtu.be/DkRgor8Mx4A
I love the incremental improvements that we're making to developer experience across the board for our #OpenSource tools at #Seqera
Each one is a small addition, but together they help to prevent minor paper cuts and improve bioinformaticians lives a little every day ✨
Attached: 1 image Another quality of life improvement is that we now have a #JSONschema via @[email protected] for #MultiQC configuration files 🎉 This has been added to schemastore.org so that config files in #VSCode & other IDEs automatically get integrated error checking as you type, see https://docs.seqera.io/multiqc/getting_started/config#json-schema-validation
By default, the #Seqera #Containers web interface searches the #bioconda and #condaforge channels 📦
But did you know that you can prepend your search with *any* conda channel?
Try it out: https://seqera.io/containers/
This is the biggest new @multiqc feature that we've shipped in a while!
Grab AI summaries of your analysis right in your report, from #Seqera AI, #OpenAI, #AnthropicAI or copy to anywhere else with a click :)
Looking forward to hearing what people make of it! 🎉
Attached: 1 image MultiQC v1.27 was released yesterday. It includes one major new feature: === ✨ AI summaries ✨ === LLMs are a natural next step for helping scientists understand large datasets. @multiqc now has built-in integration with #Seqera AI as well as #OpenAI and #AnthropicAI 🤖 The premise is fairly simple: #MultiQC builds prompts with sample data and sends these to LLMs to get summaries. This can be done at report-generation time and also *interactively* on-demand when reading the report.
We made this functionality as flexible as possible. It works out of the box with #Seqera AI and also #OpenAI and #AnthropicAI.
Reports also have "Copy prompt" options to paste into whatever LLM you like.
Read more in the blog post: https://hubs.ly/Q033KvM10
MultiQC v1.27 was released yesterday. It includes one major new feature:
=== ✨ AI summaries ✨ ===
LLMs are a natural next step for helping scientists understand large datasets. @multiqc now has built-in integration with #Seqera AI as well as #OpenAI and #AnthropicAI 🤖
The premise is fairly simple:
#MultiQC builds prompts with sample data and sends these to LLMs to get summaries.
This can be done at report-generation time and also *interactively* on-demand when reading the report.
任意のバイオインフォマティクスツールを詰め込んだコンテナイメージが簡単に作成できる Seqera Containers
https://dev.classmethod.jp/articles/easily-create-bioinformatics-tool-containers-with-seqera-containers/
The world of #bioinformatics containers just got much, much larger - and much much easier, too.
Check out today's Tech Short to learn about #Seqera Containers, a new community service that takes the friction out of using containers in your workflows. It includes Arm64 support (for Graviton fans, among others) and lets you dynamically pull containers built from BioConda, Conda Forge, PyPI, and soon even @Spackpm.
This is a resource for **everyone**.
Phil Ewels
MultiQC
DevelopersIO
Luke Pembleton
Brendan Bouffler (boof)