Software notes

The nature of this repository is applied, esp. setup of software in several categories. This distinguishes itself from Computational-Statistics which is somewhat more rudimentary.

• Genetic analysis: Association analysis, CRISPR, Next-generation sequence analysis, Pharmacogenomics, Proteome and transcriptome, Miscellaneous software, single-cell analysis.
• Statistical learning
• Artificial intelligence

While there are multiple sources (e.g., Linux archive, Anaconda and Linuxbrew) to get the pre-built executables up-running, they may work less well compared to those built from the latest source distributions.

With the later option we can always download the latest release, make minor changes, test the documentation example(s) and give feedback to the developers.

Recent usage notes are given in cambridge-ceu/csd3.