March 30, 2013
There is a wealth of phenotypic information in the evolutionary literature that comes in the the form of semi-structured character state descriptions. To get that information into computable form is, right now, an awfully slow process. In Phenoscape I, we estimated that it took about five person-years in total to curate semantic phenotype annotations from 47 papers. If we are to get computable evolutionary phenotypes from a larger slice of the literature, we really need to figure out ways to speed this up.
One promising approach is to use text-mining. This could contribute in a few different ways. First, one could efficiently identify all the terms in the text that are not currently represented in ontologies and add them en masse, so that data curation does not have to stop and resume whenever such terms are encountered. Second, one could present a human curator with suggestions for what terms to use and what relations those terms have to one another, speeding the process of composing an annotation.
CharaParser, developed by Hong Cui at the University of Arizona, is an expert-based system that decomposes character descriptions into recognizable grammatical components, and it is now being used in several different biodiversity informatics projects. Baseline evaluation results from BioCreative III showed that a naive workflow combining CharaParser and Phenex, the software curators use to compose ontological annotations and relate them to character states, was capable of identifying candidate entity and quality phrases (it outperformed biocurators by 20% in recall on average) but had difficulty translating those into ontological annotations. This first iteration workflow also was not yet reducing curation time.
In March, a small contingent from NESCent (Jim Balhoff, Hilmar Lapp and Todd Vision) visited Hong Cui’s group in Tucson. We talked through improvements to CharaParser and the curation workflow, brainstormed plans for a more thorough set of evaluation tests, began refactoring of the code so that it can be more easily shared across projects, and gained a better understanding of what features make a character difficult to curate for humans vs. text-mining. We made substantial progress on all fronts, and are looking forward to seeing how much improvement in the accuracy and efficiency of curation will be achieved in the next round of testing.
We are also pleased to report that the CharaParser codebase will now be available from GitHub under an open source (MIT) license.
July 9, 2012
Previous layout of the KB faceted browsing page on the iPhone. Text is tiny and must be zoomed and panned.
The NESCent Informatics group periodically holds “hack days”, one day mini-hackathons where we take a break from our usual schedule and push forward on a specific topic of interest. Most recently, the topic was support for the mobile web. I took a look at the Phenoscape Knowledgebase layout on the iPad and iPhone. In general the site did not adapt well to small screen sizes.
In order to avoid serving different layouts to specific devices, I applied techniques from the Responsive Web Design approach, which uses new functionality from CSS 3 to dynamically adjust the page layout based on the size of the browser window. In the new layout, when the window is small, controls move from the side to the top, allowing both the controls and the content table to use the full screen width.
Using responsive web design, the controls and content become stacked on small screens.
The new layout works across most of the pages on the Knowledgebase site. In general, it is a big improvement on mobile devices. However, there are a few remaining glitches to address, such as controls that appear upon mouse hover: difficult to use on a touchscreen device, where there is no mouse.
February 7, 2011
Phenoscape Knowledgebase 2.0 beta release 3 is now available at http://kb.phenoscape.org/. This version includes an enhanced publication info interface [example] which displays the original character matrix, as well as a list of taxa including the taxonomic names and museum specimens used in the dataset. Other recent developments in the KB are global term info popups and hierarchical browsing of ontology terms on their info pages [example].
We have also improved our software and data release processes so that the public Knowledgebase can easily keep up with new developments and the latest data updates from our curators. Looking forward, the next major feature to be added to the Knowledgebase is a faceted browsing interface which is currently under development. This interface should help provide an overview of how the data are organized within the various ontologies used in the Knowledgebase.
November 17, 2010
Hilmar Lapp gave a great overview today of the ongoing work in the Phenoscape project to 29 participants in the NCBO Webinar series. This series showcases new projects, technologies and ideas in biomedical ontology, many of which use ontologies for interoperability. Hilmar presented the biological context (evolution, conservation, development, etc.) into which our work fits, and the challenges involved in representing phenotype. A videorecording of his talk will be posted in case you missed it.
Update: The slides are also posted on Slideshare:
March 24, 2010
We have been developing mockup versions of new web interfaces for the Phenoscape Knowledgebase. In order to design an updated interface which is both more powerful and easier to use than the existing one, in February I presented a series of mockups to faculty, post-docs, and graduate students at the University of Oregon, the home of ZFIN. Following user-testing expertise at ZFIN, I met with the researchers in pairs and recorded their feedback on newly designed interfaces for viewing anatomical and taxonomic terms within the ontology hierarchy, configurable queries for phenotype annotations, and data visualization on phylogenetic trees. The feedback proved to be extremely valuable and has led to several modifications to the planned interface revisions.
February 23, 2010
Phenex 1.0.3 is now available. This release fixes a serious bug which caused Phenex to append modified phenotype annotations within files, instead of replacing the previous data. Phenex will now read and write NeXML files correctly. It should also automatically recover the latest data from files saved with older versions of Phenex.
All Phenex users should replace their current copy of Phenex with the latest release. It can be downloaded from the Phenex homepage on the Phenoscape wiki.
February 23, 2010
As an online student of Bioinformatics based in Nairobi, Kenya, I had a strong desire to undertake a project that would enhance my knowledge and skills in software development. Hence, after completing MSc. Course work at the University of Manchester, UK, I was happy to be awarded an internship from the Phenoscape project for an 11-week traineeship beginning September 21st, 2009 at the National Evolutionary Synthesis Center (NESCent). This project seeks to establish the developmental and genetic basis of the astonishing morphological heterogeneity across diverse species. In addressing this, a rich and rigorous knowledge base, PhenoscapeKB, constituting evolutionary variable characters across a clade of fishes connected to mutant phenotypes from ZFIN has been developed. Core to the PhenoscapeKB is the modeling of the character entities using ontologies thus facilitating the knowledge synthesis via logical/mathematical reasoning. Read the rest of this entry »