Open Source

We are committed to writing high quality, free, and open source software!

Latest Post Upgrading LocusPocus genomic coordinates with Python Data Classes by Rob Schaefer public

We are committed to writing high quality, free, and open source software!

Visit our GitHub page: https://github.com/LinkageIO

Linkage Analytics is powered by a suite of open source software packages for analyzing biological data. Linkage software is written with biologists in mind. Packages interact with biological data using a biological vocabulary keeping the interpretation of data in the biological realm as much as possible.

We aim to write software at just the right level of abstraction. Units are in SNPs and Genes, software functions incorporate options for upstream and downstream. To us, polymorphism isn't less about software development and more about DNA. Methods are not overly fancy for the sake of being fancy.

The goal is to provide powerful and interpretable analyses. Behind the scenes these biological objects are stored as computationally efficient tuples and records, etc. Your data are powered by databases. Software libraries are influenced by data science standards. Abstraction is meant to be powerful, yet, none of this is hidden from you (nothing is, its all open source!).