The hottest Substack posts of LatchBio

And their main takeaways

Drug the Undruggable: Learn how Elsie Biotechnologies is advancing oligonucleotide therapeutics

268 implied HN points • 07 Mar 24
🔬 Science Biotechnology Drug Discovery Webinar
  1. Elsie Biotechnologies uses computational design tools and high-throughput experimental approaches to develop drugs.
  2. Partnerships with large pharmaceutical companies like GSK can significantly impact the progress of smaller biotech companies.
  3. Oligonucleotide therapies represent the future of drug development, promising safer and more effective treatments.

The Cloud for Biology

39 implied HN points • 29 Aug 23
🔬 Science Biology Data Management Cloud Computing Biotechnology Research
  1. Storing and transferring large sequencing files in biology can be challenging due to the lack of user-friendly storage solutions like AWS S3.
  2. Integrating and tracking sample metadata in biology is vital but often hindered by unintuitive systems and lack of system integrations.
  3. Setting up data pipelines and computational workflows for biology data analysis is labor-intensive, requiring user-friendly interfaces and tools.

Native Snakemake Support on LatchBio

20 implied HN points • 14 Sep 23
🕹 Technology Bioinformatics Cloud Computing Data Management Infrastructure
  1. Bioinformaticians face challenges in developing specialized scientific workflows due to managing large files and deploying academic tools.
  2. Snakemake, a Python-based framework, offers advantages over Nextflow in terms of Python readability, debuggability, and configuration simplicity.
  3. LatchBio now provides native support for Snakemake, enabling bioinformaticians to leverage graphical interfaces, managed infrastructure, and downstream analysis solutions.
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Debug bioinformatics workflows in the cloud from your local development environment

41 implied HN points • 08 Dec 22
  1. Developers can easily debug biological code in the cloud from their local environment.
  2. Establishing a tight feedback loop with a production cloud environment is crucial for fast iteration and debugging bioinformatics workflows.
  3. Interactively debugging production cloud environments, dispatching local unit tests to the cloud, and gaining access to essential resources are key elements in enhancing bioinformatics development.