# Summary of #hplusroadmap IRC Log (October 15, 2016)

* Kanzure shared numerous bioRxiv papers on topics including memory modification, bacterial membrane transport systems, helicase assembly, electroporation protocols for genetic modification, and neural networks for cognitive tasks.

* A paper on "BioBlocks: Programming protocols in biology made easier" was shared along with its GitHub repository (dnastore), demonstrating tools for making biological programming more accessible.

* Research on using commensal bacteria for long-term monitoring of inflammation in the mammalian gut was discussed, showing progress in programmable biological monitoring systems.

* A paper on "Modular non-repeating codes for DNA storage" was shared, highlighting advances in using DNA as a data storage medium.

* A discussion occurred about the limitations of combining fMRI data with gene expression data, with skepticism expressed about correlating behavior to gene expression mapped to low-resolution "connectomes."

* Maaku shared a blog post on "Towards deep symbolic reinforcement learning," continuing earlier discussions about combining symbolic AI with deep learning approaches.

* A post from 20n.com was mentioned regarding using deep learning to analyze liquid chromatography mass spectrometry data, primarily for noise reduction in mass spec data.

* Bitcoin's technical development was referenced with an article about MAST (Merkelized Abstract Syntax Trees) to improve Bitcoin's flexibility, scalability, and privacy.