Evolutionary biologists are increasingly using R for building,editing and visualizing phylogenetic trees.The reproducible code-based workflow and comprehensive array of toolsavailable in packages such as ape,phangorn andphytools make R an ideal platform forphylogenetic analysis.Yet the many different tree formats are not well integrated,as pointed out in a recentpost.

Sometimes I need to remind myself just why I'm spending so much time trying to make sense of other people's data, and why I go on (and on) about identifiers. One reason for my obsession is I want data to be "sticky", like the burrs shown in the photo above (Who invented velcro? by A-dep). Shared identifiers are like the hooks on the burrs, if two pieces of data have the same identifier they will stick together.

Last month, feeling particularly grumpy, I fired off an email to the TDWG-TAG mailing list with the subject Lobbing grenades: a challenge . Here's the email: In the context of the TDWG meeting (happening as we speak and which I'm following via Twitter, hashtag #tdwg) Joel Sachs asked me whether I had any specific data in mind that could form the basis of a discussion. So, here goes.

Although I'd been thinking of getting the wiki project ready for e-Biosphere '09 as a challenge entry, lately I've been playing with RSS has a complementary, but quicker way to achieve some simple integration. I've been playing with RSS on and off for a while, but what reignited my interest was the swine flu timemap I made last week. The neatest thing about the timemap was how easy it was to make.

While biodiversity informatics putters along, generating loads of globally unique identifiers that nobody else uses, perhaps it's time to take a look at the bigger picture. DBPedia is an effort to extract data from Wikipedia and make it available as linked data. At the heart of this effort is the use of HTTP URIs to identify resources, and reusing those URIs. Hence, for many concepts DBpedia URIs are the default option.

The manuscript for Briefings in Bioinformatics that I alluded to earlier has been accepted for publication. I've put a preprint up at Nature Preceding (hdl:10101/npre.2008.1760.1). The final version will appear in print later this year.

Leigh Dodds has a nice post How Shall I Integrate Thee? Let Me Count the Ways... about different ways to integrate data.