I moved from Computer Science into bioinformatics / computational immunology.
Bioinformatics is fatally infected by the associated culture of biology. Tools get squirreled away until published in a non-open venue, then eventually dumped online in some difficult to install manner.
It's tricky to pinpoint exactly when modern "bioinformatics" started. Some notable times are 1979 when the Los Alamos Sequence Database started, 1982 when that became GenBank, and certainly by 1990 when the Human Genome Project started.
GenBank is "an open access, annotated collection of all publicly available nucleotide sequences and their protein translations" (https://en.wikipedia.org/wiki/GenBank ). Most journals now require that sequences be entered into GenBank before publication.
I'll add a few historical observations. The early work at Los Alamos was on Sun machines running Sybase (1987, according to https://en.wikipedia.org/wiki/Sybase ). These are serious Unix fans, who quickly took to perl when it came out. I think some of the support for SybPerl came from bioinformatics; the SybPerl, OraPerl, and other *Perl systems helped create the extension system for perl5. (I am not able to verify that, though the author of SybPerl, Michael Peppler, consulted in the mid-1990s for "Research Genetics" http://www.peppler.org/resume.html .)
Unix people in the early 1990s were serious perl fans. The most popular perl4 library for CGI programming was cgi-lib.pl, by Steven Brenner, a computational biologist/bioinformatics researcher. It was replaced in perl5 by CGI.pm, by Lincoln Stein, another bioinformatics researcher.
This gives a hint that bioinformatics has not only a close connection to the technologies needed for the first dot-com era, but also that the field itself tends towards open resources.
A subset of OSS - the R/Bioconductor community is full of free software fanatics, and anyway all academic software is necessarily, without thought, free software.
