Rust-Bio VS scryer-prolog

Does anyone know of zig native libraries for bioinformatics (here is a Rust example https://rust-bio.github.io/ )? It seems as though one could pull in a lot of bioinformatics C libraries such as done with https://github.com/brentp/hts-zig.

e.g. Rust-Bio

I would start with the book and then rust-bio library. Rust is a pretty low level language compared to R/Python. It’s an especially good fit for writing efficient tools that make use of the kinds of algorithms / data structures that are implemented in rust-bio.

Absolutely! It already is, e.g., https://github.com/rust-bio/rust-bio. I'm moving from the academia/nonprofit world into industry bioinformatics, and I intend to use Rust as much as possible. I've already replaced as much of my Python as possible with Rust. I feel I'm able to create larger, more complex programs with Rust because I have the compiler to keep me from making common mistakes that are so easy to make in dynamically typed languages like Perl and Python. It might take longer to write a program initially, but I've started to create a library of functions I can paste together to do things like parse a positive integer, find a bunch of files with a certain file extension, search through data for a pattern, parse CSV files, etc. Writing my latest book has provided even more common patterns I keep finding I use over and over.

I think there is huge potential for Rust in bioinformatics, and there are already some great projects like https://rust-bio.github.io/. It seems industry is also hiring for these skills. This Nature article is a little old, but also covers why people in the field are looking for greater safety and performance. It's relatively easy to write a Python program to do bio stuff, but it's also very easy to get lots of things wrong or for the resulting program to be slow and/or impossible to extend and maintain. In the long run, I think it makes sense to write in Rust. Perl was king in biofx when I started, and I would not have predicted it being displaced by Python, so there's good reason to believe that Python may one day be eclipsed by Rust.

Well, someone mentioned https://rust-bio.github.io/

So generally stuff in this maths/numerical space. The term is a bit deceptive because it rarely means domain-specific science libraries like rust-bio even thought that might be what you think when you hear "scientific computing".

thank you! the scryer community deserves much of the credit too. everyone is welcome and encouraged to join us at https://github.com/mthom/scryer-prolog! some exciting plans in the pipe

Djot is the markup syntax that is used for the documentation of Scryer Prolog, using a parser written in Prolog:

https://github.com/aarroyoc/djota

It works well so far. One of the few limitations I noticed so far pertains to the formatting of tables. For instance, consider the table used in library(format) to describe control sequences:

https://github.com/mthom/scryer-prolog/blob/b0566e41503a6c8d...

It contains several entries that span multiple lines, yet are meant to denote only a single row of the table, such as:

    % | `~Nr`    |  where N is an integer between 2 and 36: format the            |