#algorithmicbioinformatics what are the big challenges facing our field? What are the things we are doing well that we should keep on doing?
@Pashadag a lot of tools require too much memory as they optimize for speed and it would be good to be able to trade those off more
@luispedro @Pashadag adding onto this, many tools are also poorly maintained and/or unnecessarily difficult to use. We really should make sure that projects which result in widely used software do not rely on a single person to keep them running.
@themaklin @luispedro @Pashadag not only a question of maintainer, but also of funding: once your tool / database is published, it becomes harder to get fundings to maintain it.
@EricPelletier @themaklin @luispedro I agree about software maintenance. I think it's a big problem in #algorithmicbioinformatics. For usability, don't you think that Galaxy and similar frameworks solve this problem? Or not really?
@Pashadag @EricPelletier @themaklin Galaxy solves some problems, but far from all problems