A machine-compiled microbial supertree from figure-mining thousands of papers

Ross Mounce, Peter Murray-Rust, Matthew Wills

Research output: Contribution to journalArticle

Abstract


Background


There is a huge diversity of microbial taxa, the majority of which have yet to be fully characterized or described. Plant, animal and fungal taxa are formally named and described in numerous vehicles. For prokaryotes, by constrast, all new validly described taxa appear in just one repository: the International Journal of Systematics and Evolutionary Microbiology (IJSEM). This is the official journal of record for bacterial names of the International Committee on Systematics of Prokaryotes (ICSP) of the International Union of Microbiological Societies (IUMS). It also covers the systematics of yeasts. This makes IJSEM an excellent candidate against which to test systems for the automated and semi-automated synthesis of published phylogenies.


New information


In this paper we apply computer vision techniques to automatically convert phylogenetic tree figure images from IJSEM back into re-usable, computable, phylogenetic data in the form of Newick strings and NEXML. Furthermore, we go on to use the extracted phylogenetic data to compute a formal phylogenetic MRP supertree synthesis, and we compare this to previous hypotheses of taxon relationships given by NCBI’s standard taxonomy tree. This is the world’s first attempt at automated supertree construction using data exclusively extracted by machines from published figure images. Additionally we reflect on how recent changes to UK copyright law have enabled this project to go ahead without requiring permission from copyright holders, and the related challenges and limitations of doing research on copyright-restricted material.
LanguageEnglish
Article numbere13589
JournalResearch Ideas and Outcomes
Volume3
DOIs
StatusPublished - 9 May 2017

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taxonomy
microbiology
phylogeny
prokaryotic cells
synthesis
computer vision
committees
yeasts
animals
testing
methodology

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A machine-compiled microbial supertree from figure-mining thousands of papers. / Mounce, Ross; Murray-Rust, Peter; Wills, Matthew.

In: Research Ideas and Outcomes, Vol. 3, e13589, 09.05.2017.

Research output: Contribution to journalArticle

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