Open Tree of Life at meetings
The Open Tree of Life project is one of the many phylogeny projects that are featured during the Evolution 2013 meeting that currently takes place in Snowbird (UT). The presentation slides from Karen Cranston, the principal investigator of Open Tree of Life, are available online (LINK). Presentation slides from other investigators are added here in the upcoming days.
Evolution 2013 is the joint annual meeting of the Society for the Study of Evolution (SSE), the Society of Systematic Biologists (SSB), and the American Society of Naturalists (ASN). The conference meets jointly with the iEvoBio conference. Open Tree of Life is represented at both events. About 1400 participants are expected to share their research in evolution, systematics, biodiversity, software, and mathematics.
Biology + Technology = OTOL
One of the developers of the Open Tree of Life demonstrates Thursday, during a free webinar, how graph databases are used to construct a tree of life. The lecture is organized by Neo Technology, which is the maker of Neo4j, an open-source database that is used for OTOL.
Stephen Smith, an ecology and evolutionary biology professor at the University of Michigan, is going to explain how Neo4j and other digital technologies are assisting in constructing the tree of life. Starting at 10:00 PDT (19:00 CEST), he will also discuss other aspects of the interface of biology with next generation technologies.
“Our project is building the tools with which scientists in the community can continually improve the tree of life as we gather new information. Neo4j allows us to not only store trees in their native graph form, but also allows us to map trees to the same structure, the graph. So in fact, we are facilitating the construction of the graph of life,” says Smith.
Neo4j approached the Open Tree of Life team to present a webinar because it is a project that utilizes the Neo4j graph database to represent the interconnectedness of biological data. The company considers the project a great example of how a graph database can better model the natural world.
The online lecture is intended for a broad audience including beginner computer programmers, advanced hackers, data scientists, natural scientists, and anyone interested in the cross-section of science and technology, especially data modeling. Over 150 people have already registered online.
The registration form: LINK
Update: The video from this webinar is available on vimeo: http://vimeo.com/67870035
Making scientific data available
In case you haven’t seen the video yet, Open Tree of Life investigator Karen Cranston talked about sharing research data in open access data repositories during the Creative Commons 10-year celebration in Raleigh, North Carolina, last December. She mainly focused on the use of CC0 for Dryad, which is a curated general-purpose repository that makes the data underlying scientific publications discoverable and freely reusable. Cranston also mentioned that data availability leads to more citations, which is highly valued in the academic community. You can access the presentation slides as well (link).
Do you want an app for this?
The developers of the Open Tree of Life would like to know from the phylogenetic community what kind of information they want to extract from its database when the first draft is released later this year. With those preferences, it is possible to develop an API that gives scientists the opportunity to build their own websites or software packages that use the data.
An API (application programming interface) is a digital tool that allows one website or software program to “talk” to another website to dig up certain pieces of data. For instance, a lot of people use Tweetdeck to navigate the ongoing bombardment of messages in the Twittersphere. In that case, Tweetdeck is connecting to Twitter, through its API, to receive and order the messages according to the preferences of the user.
In case of the Open Tree of Life, an API gives researchers advanced access to the data of about two million species, the phylogenies that have been created to illustrate possible relationships between them, and the underlying data and methods of synthesis. “For example, it will be possible to select smaller trees for specific species or find out how many studies there are for a particular node within the database,” says Karen Cranston, the lead investigator of the project. (more…)
Where are the fungi datasets?
A couple thousand fungi phylogeny studies have been published in the past twelve years. Clark University postdoc researcher Romina Gazis has gone through all of them. Now she is working on a bigger challenge: finding all the trees and datasets that were the foundation of those studies.
Ideally, all scientists who publish a phylogenetic tree would also deposit the datasets they used to create such trees at a publicly available online database. That allow other researchers to synthesize data from different sources to advance the knowledge about relationships between certain species and their evolutionary history.
Unfortunately, most of those datasets are not publicly available. Gazis only found datasets for about a quarter of the two-thousand fungi articles she surveyed. “Around 600 studies had tree files available, but not necessarily complete,” she concluded. “Some scientists deposited one but not all the trees.” (more…)
‘The glass is still pretty empty’
Sometimes you wonder whether the glass is half full or half empty.
But when it is only filled for four percent—the other 96 percent is just air—there is only one conclusion: it is time for more.
At least that is what some scientists in the phylogenetic community argue, because only about four percent of all published phylogenies are stored in places such as TreeBASE or Dryad. Their message is quite simple: it is time to bring together more databases with estimations on how species are possibly related to each other.
Several journals in the evolutionary biology field recently adopted policies that encourage or require contributors to make their data publicly available online. Yet, this only leads to the storage of a very small percentage of ten-thousands of phylogenies that have been constructed in the past few decades.
Of course, there are also other ways to receive data that are not stored on the Internet, but those alternatives are commonly not the most efficient routes. For instance, it is possible to send an email to a scientist who published a phylogenetic tree and “sometimes wait for six months to maybe get a response—either with or without the data,” says Keith Crandall, one of the Open Tree of Life investigators and the founding director of the Computational Biology Institute at George Washington University.