As Seen at Defcon 32, Step into the frontier of DIY bioengineering with the BioVolt Electroporation Device—a game-changing tool for gene transfer in your home lab. Born from the fusion of ingenuity and accessibility, this device uses piezoelectric igniters to deliver precise electrical pulses, unlocking new possibilities in cellular manipulation.
Mut8 is a minimalist, Brainf*ck-inspired programming language tailored for DNA sequence manipulation and data encoding. A key feature of Mut8 is its ability to embed messages within DNA sequences by converting textual data into DNA code. Through specialized commands, Mut8 allows users to encode messages into DNA bases and insert them into custom DNA constructs, such as plasmids. These plasmids can then be introduced into cells, and upon sequencing, the embedded messages can be decoded using Mut8’s decoding functions. This capability enables applications in secure communication, data storage, and biological steganography, effectively allowing information to be hidden within DNA and retrieved through Mut8’s programming interface.
Open_Immune is an AI-driven simulation of the human immune system designed to enhance understanding of immunity. It uses machine learning to model and predict immune responses, providing insights into reactions to pathogens, treatments, and therapies. This open-source platform supports researchers in advancing immunological studies and applications.
THE BIOHACKERS COOKBOOK - Version 2
The first Biohackers Cookbook made history, but now it’s time for version 2—a guide that will redefine the future of biohacking. We’re looking for dedicated biohackers to co-author this bold work of cyberpunk innovation. If you’re ready to push the boundaries of DIY biology and synthetic life, apply now to help shape the next generation of biohackers. Let’s bring the future into the present.
Open Nexus is an optimized molecular cancer type classifier, evolved from the OncoNPC model, to enhance accessibility and ease of use. Designed for wide distribution, Open Nexus analyzes somatic alterations—mutations, mutational signatures, copy number changes—alongside patient age and sex to predict cancer types using multicenter targeted sequencing data. The open_nexus_purifier streamlines data preprocessing to ensure accurate and efficient classification.
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