O'Really?

August 17, 2012

What is the collective noun for a group of Systems Biologists?

From helix to hairball

According to Arthur Lander, “hairball” networks like the one of human proteins above, are the new icon of biology, taking over from the famous double-helix. Image originally published in BMC Biology [1].

What happened was, I was looking for a creatively commons licensed picture of Pedro Mendes to upload to commons.wikimedia.org. Not the footballing Pedro Mendes who played for Rangers, Spurs, Pompey and Porto but the systems biologist Pedro Mendes who plays for Virginia Tech and Manchester. Thankfully, another systems biologist, Michael Hucka kindly pointed to his impressive collection of pictures, taken at various events over the years which include some shots of Pedro. Looking at these pictures made me idly wonder: What is the collective noun for a group of systems biologists?

Systems biology is the study networks of various kinds [2,3] so it’s ripe for a collective noun, and there were several suggested on twitter. Since twitter has recently developed a nasty habit of disappearing tweets, here is a collection gathered and preserved for posterity from the twitterome*:

A jamboree of systems biologists?

Tom Williamson and Mike Hucka initially plumped for a Jamboree of systems biologists:

A loop or an ome of systems biologists?

Mike Hucka and Nathan Pearson voted for a Loop or an Ome of systems biologists:

A cluster of systems biologists?

Then again, maybe it should be a cluster of biologists?

A network of systems biologists?

Douglas Kell reckoned on a network of systems biologists:

A system of systems biologists?

Ewan Birney thought it had be be a system:

So there you have it, according to the twitterome, the collective noun for a group of systems biologists is a system, network, cluster, ome, jamboree or loop (delete as appropriate). No doubt there are many more, that’s what twitter hashtags are for, #SysBiologists.

References

  1. Arthur D. Lander (2010). The edges of understanding, BMC Biology, 8 (1) DOI: 10.1186/1741-7007-8-40
  2. Hiroaki Kitano (2002). Systems Biology: A Brief Overview, Science, 295 (5560) 1664. DOI: 10.1126/science.1069492
  3. Trey Ideker, Timothy Galitski & Leroy Hood (2001). Systems Biology: A new approach to decoding life, Annual Review of Genomics and Human Genetics, 2 (1) 372. DOI: 10.1146/annurev.genom.2.1.343

* That’s another #badomics award for Jonathan Eisen’s growing collection…don’t blame me, blame Leonid Kruglyak

March 19, 2008

Genomes to Systems 2008: Day Two

Space Travel and Genomics in SpaceGenomes to Systems is a biannual conference held in Manchester covering the latest post-genome developments. Here are some brief and incomplete notes on some of the speakers and topics from day two of the 2008 conference. (more…)

May 31, 2007

Google Metabolic Maps

Google in the Palm of my HandThese days, new Google products and code seem to appear on a weekly basis. Take, for example, Google Gears which takes advantage of SQLite, mentioned on nodalpoint recently. They certainly don’t hang about at the Googleplex in Mountain View, California. Wouldn’t it be great if Google applied some of that engineering expertise and agility to science and bioinformatics? Just imagine: we could have Google Metabolic Maps, a virtual globe of the cell for scientists everywhere…

Scientists have been drawing metabolic maps for a very long time, but unfortunately when it comes to charting and understanding metabolic pathways, we’re still at the “here be dragons” stage of bio-cartography. I’m obviously not the first person to dream of this, but imagine maps of metabolic pathways looked more like Google Earth or Google Maps, than the old fashioned style maps, many life scientists will be familiar with. Now imagine just a little more, that these maps weren’t just available on conventional screens, but we’re given the Minority Report treatment, courtesy of Mr Bill Gates and his wizzy surface magic at Microsoft. Wouldn’t that be great? Metabolic maps on an interactive tabletop computer. Just like Tom Cruise in the movies, we’d be able to effortlessly swish around metabolism (or the metabolome / proteome / genome / [insert-your-favourite]ome). Imagine if it was all open-source too, no boundaries, no passports…

Now, you may say that I’m a dreamer, but I’m not the only one [1,2,3].

References

  1. Zhenjun Hu, Joe Mellor, Jie Wu, Minoru Kanehisa, Joshua M. Stuart and Charles DeLisi (2007) Towards zoomable multidimensional maps of the cell Nature biotechnology 25 (5), 547-54. DOI:10.1038/nbt1304
  2. Hiroaki Kitano, Akira Funahashi, Yukiko Matuoka and Kanae Oda (2005) Using process diagrams for the graphical representation of biological networks Nature biotechnology 23 (8), 961-6. DOI:10.1038/nbt1111
  3. John Lennon and Yoko Ono (1971) Imagine
  4. this post originally published on nodalpoint with comments

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