Though hopefully it will be fully released open source still, but I feel there are question marks around whether it will be a priority to continue to develop by Qualcomm, or if they are mainly interested in the AI compute stack?

Time will tell I guess, but a lot feels to be up in the air.

You might want to stay away from very recent major versions for stability, but it is a very capable editor that is also much more robust and performant than openshot.

I haven't compared with Blender VSE though.

Will it allow me to drastically improve my workflow (save time for some tedious tasks), increase quality of the outputs etc?

Had a kind of pivot moment when I moved out from home though, where I immediately realized my parents will not be there forever, and the inner me needs to reach for my ultimate parent. This got me into a much closer relation with the Lord. I had (and have) many somewhat spectacular answers to prayer, and basically learned to have a really trustful relationship with him.

I know many people's faith is challenged when going to the university and learning about biology as I did (studying biotech and bioinformatics).

I had came into contact with some great apologetics material, especially around evolution etc, in Swedish, which I found super interesting.

Still, I must say my faith was even more reinforced when we started to study macro-molecular machines, and I realized that biology is a whole world of extremely advanced nano-machines, working in an extremely intricate network of interlocking interdependencies.

I've been involved in quite a bit of debates regarding evolutionism and creationism over the years, and one thing I have noticed is that scientific creationism is much closer to modern evolutionary theory than most people realize. Recent secular paradigms such as "The third way of evolution" [1] pretty much perfectly recapitulates what many creationists have said for years; Biology is shock-full of pre-programmed ability to adapt, according to pre-existing modules and adjustable parameters, in an extremely dynamic software system, with tons of generative algorithms for how animals and plants are built up through embryogenesis, which allows for powerful adjustments of a lot of parameters with often surprisingly little change in the genomic "source code".

For people interested in an introduction to what secular science has to say here, I often recommend "The Plausability of Life", by Gerhart and Kirschner [2]. Other great titles are "Evolution: A View from the 21st century" by James Shapiro [3], and a few more (the third way website lists a lot of great books).

In my view, the Genesis story in the Bible matches these findings perfectly, disagreeing mainly in the expected age of things. But these biological mechanisms actually mean that "evolution" can happen extremely fast, without even actual genomic changes just by turning on and off or regulating features, via mechanisms like Epigenetics.

Eventually I've became involved in trying to figure out the more detailed view of how the Biblical narrative could explain the bleeding edge of biology, which led me to co-organize a seminar in Sweden in 2024 with European researchers (mostly), which resulted in both a video series and a book, which is available from this web store among others (not affiliated).

This work, especially the chapters on 1) Mendelian genetics 2) Epigenetics and 3) Transposable elements (think Endogenous Retroviruses, Jumping Genes etc), together in my mind creates an extremely interesting explanatory framework for how life was pre-programmed to be extremely efficient - and fast - mind you - at adapting to varying environments.

Whether you want to call that "evolution" or "pre-programmed adaptive creation" is in my mind very much a question of definitions, and TBF, the term evolution hasn't had a very strict definition for as long as I remember.

Anyways, today I'm more fascinated than ever the more I learn about the extremely complex and ingenuous solutions out there in nature to vastly different problem areas like chemistry, metabolism, mechanics, information processing and general cognition. It fills me with awe and respect for the creator that must be there behind all this.

[1] https://www.thethirdwayofevolution.com/

[2] https://yalebooks.yale.edu/book/9780300119770/the-plausibili...

[3] https://www.goodreads.com/book/show/11004717-evolution

[4] https://www.youtube.com/playlist?list=PLNkVOx7YbWiDABv5nB3Ih...

[5] https://store.answersingenesis.co.uk/product/a-creation-scie...

I have done a similar thing using simple makefiles though, collecting more complex chains of tasks into a "meta rule" in Make and just calling that from whatever CI config we're using.

https://iwantosequencemygenomeathome.com/

(Well, the guy offers to do it for you too, delivering the data on an USB stick).

Indeed. The only argument against it might be that Rosalind is already a pretty well-known website for doing bioinformatics exercises and have them automatically graded:

https://rosalind.info

FlowBase or I didn't have much of ideas about how to keep data structures compact, as the linked library does, and I was mostly aiming to make it really easy to build streaming pipelines.

I haven't yet got my head around how the composability story is in rosalind though, so would be interested in any pointers or examples on how this would be done using it.

[1] https://github.com/flowbase/flowbase

Nature even wrote a feature article about it a couple years ago:

Why scientists are turning to Rust

https://www.nature.com/articles/d41586-020-03382-2

They mention the Rust-Bio [1] project by well known Snakemake author Johannes Köster & co, and there are some other widely used libraries like needletail [2] and noodles [3].

A cool smaller tool developed by performance wiz Ragnar Groot Koerkamp which was just published is Sassy [4] [5]. He has also been involved in developing some high performance SIMD based stuff (minimizers) [6].

[1] https://github.com/rust-bio/rust-bio

[2] https://github.com/onecodex/needletail

[3] https://github.com/zaeleus/noodles

[4] https://github.com/RagnarGrootKoerkamp/sassy

[5] https://academic.oup.com/bioinformatics/article/42/5/btag244...

[6] https://github.com/rust-seq/simd-minimizers

Comments URL: https://news.ycombinator.com/item?id=48222600

Points: 185

# Comments: 57

The syntax i Mojo really seems to shine a lot ... though I still wonder if the train has already left now that so much bioinfo work is already done in Rust.