Let’s go over some reasons for why I’m writing this blog.
The inspiration for this blog is the post on Succinct de Bruijn Graphs by Alex Bowe. I think blog posts are a great way to quickly learn about new ideas and concepts, since they are usually more accessible than papers. A blog post can omit some of the more formal text required in papers and spend more time explaining things on an intuitive level. This way, scientific concepts can be understood by a larger audience than just those actively working on it.
At least in bioinformatics, my feeling is that papers often focus a lot on results. Given my background in theoretical mathematics and computer science, to me the interesting part is really to understand the ideas/methods/algorithms used to obtain a result. Once you understand the methods, you can try to build on them and improve them.
Another goal of this blog is to increase the speed with which ideas spread through the community. If I were to have an idea now (I do; watch this space) it could take me1:
- a few weeks to write the code;
- a few months to define metrics, run experiments, and compare with competitors;
- a month to write and a submit a paper;
- half a year to get review feedback;
- another half year till publishing.
Taken together, it wouldn’t be uncommon for this process to take over a year. Given that my PhD should only last 3 to 4 years, this only allows for very few communication round trips.
Instead, I could write a blog post about it today, and it could be read tomorrow. Of course a blog post does not go through a review process, but just learning about some new concepts and ideas can spark new creativity and research.
As you guessed, I believe a lot in open science. Having spent some time working on open source projects, contributing to the world gives me a great feeling, and I do not see why it should be any other way.
It is a good thing most research today is published in open access journals and posted on Arxiv, but I think we can take this one step further and also open up access to the research process itself. My goal is for all my experiments to be reproducible by myself and others, and allow others to easily improve on them.
Really, research is most fun when done with like-minded people. Why do academic groups need to compete against each other and keep their ideas to themselves, when working together is more fun and more productive? See for example the results of the Polymath Project where mathematicians collaborated to solve open problems. I hope this blog will inspire some more collaboration in bioinformatics as well, so please reach out if you think my work is interesting!
Collaborative projects will have multiple authors. As illustrated by the Polymath project, where either multiple authors are listed or a pseudonym is used, this shouldn’t be a problem.
I don’t have much actual experience; numbers are for illustration only. ↩︎