A bioinformatics engineer shares hands-on posts on pipeline engineering, performance optimization and open-source contributions. Issues cover Nextflow and nf-core work, speeding up UMI-tools with Cython, and design patterns for splitting pipeline tasks.
Website: https://www.dabbleofdevops.com/
This blog covers Open Targets Platform release announcements, with detailed notes on new genomics datasets and pipeline improvements, alongside stories about the research behind them. Readers get first-hand updates on data for drug target identification and prioritisation.
LatchBio publishes research benchmarks testing whether AI agents can perform bioinformatics and life-science analyses such as omics, oncology decision-making and metagenomics. Each issue announces a new benchmark with results tables, failure-mode breakdowns and design details.
A personal blog by a biology-and-computing researcher who writes about building an ecosystem of biological data pipelines, AI tools for science, and lessons on focus and thinking. Recent posts cover AI limits in scientific image generation and reflections on a year of weekly writing.
Erik Storrs, a bioinformatician, walks through recent deep learning papers such as Segment Anything, Prov-GigaPath and LongNet with step-by-step explanations and visual diagrams. Readers get accessible technical breakdowns of model architectures and how they apply to biology and medical imaging.
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