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iPhylo

Rants, raves (and occasionally considered opinions) on phyloinformatics, taxonomy, and biodiversity informatics. For more ranty and less considered opinions, see my Twitter feed.ISSN 2051-8188. Written content on this site is licensed under a Creative Commons Attribution 4.0 International license.
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NESCent, EOL, and BHL have put together a research sprint: Since I won't be applying to participate I thought I'd sketch some possible ideas here. Co-occurrence of taxon names as proxy for ecological associations Some time ago I noted that if you build a "tag tree" for taxonomic names in a BHL document you can get some interesting patterns, such as the names of hosts and their parasites occurring together.

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In some recent posts I've been exploring the quality of GBIF's taxonomic data. I've done some further analyses and decided to write this up in something more than a blog post. I'm writing a draft which you can see on GitHub. It tackles just one issue, namely what happens when you combine taxonomic names from multiple sources and don't know that some of those names are synonyms.

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A nice article by Brendan Borrell about the secret life of herpetologist Edward Taylor, and Rafe Brown's efforts to untangle his taxonomic legacy has appeared in Nature : Fascinating article, but as always I'm going to skip straight past the content and look at links. The article leads with Ptychozoon intermedium , the Philippine parachute gecko.

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Bryan Drew and colleagues have published a piece in PLoS Biology bemoaning the lack of databased phylogenies: This is an old problem (see for example "Towards a Taxonomically Intelligent Phylogenetic Database" doi:10.1038/npre.2007.1028.1), but alas the solution proposed by Drew et al. is also old: In my opinion, as soon as you start demanding people do something you've lost the argument, and you're relying on power ("you don't get to publish

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One feature I've always wanted to have in BioNames is a timeline of taxonomic names. ION has one (see here), but I wanted a way to go from the timeline to the actual publications. In other words, if, say, there were approximately 99 bird names published in 2012, I want to see the papers that published those names.

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Continuing the theme of the failings of the GBIF classification I've been playing further with cluster maps to visualise the problem (see this earlier post for an introduction). Browsing through bats in GBIF I keep finding the same species appearing more than once, albeit in different genera.

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Readers of this blog will know that I'm sceptical about the current value of linked data and RDF in biodiversity informatics. But I came across an interesting paper on RDF and biocuration that suggests a good "use case" for RDF in constructing and curating taxonomic databases. The paper is "Catching inconsistencies with the semantic web: a biocuration case study" (PDF here) by Jerven Bolleman and Sebastien Gehant.