Reflections on ASHG 2010

As conferences go, the American Society of Human Genetics (ASHG) annual meeting is a pretty big deal. Anyone who’s anyone in human genetics is there, and if you want to be someone you better be there, too. And it’s big — this year’s meeting saw more than 6,000 attendees spread throughout a gigantic convention center that spanned four square blocks in the heart of Washington, D.C. Academics, publishers, clinicians, policy wonks, and industry reps staked out their territory among an endless sea of posters, eye-popping demo booths, and cavernous session halls. The international meeting for bioinformatics that I’ve gone to the past seemed quaint by comparison.

At bioinformatics conferences, the common theme is computational methods, applied to a wide variety of topics. At a conference like ASHG, the common theme is human genetics, probed and interpreted with a variety of methods. But even the topic is breathtakingly broad. Sessions covered complex disease, non-coding RNAs, methylation, ethical/social/legal/education issues surrounding genomic research and genetic testing, mouse models, high-throughput sequencing, population and evolutionary genetics, pharmacogenetics, cilia, computational methods, and Mendelian disorders, to name just a few.

I made my first visit to ASHG this year as part of a small contingent from 23andMe*, a direct-to-consumer genomics company. Although I missed a good portion of the conference due to my schedule, some of my colleagues took notes on sessions that I missed, and ample coverage of many of the sessions could be had by following the Twitter hashtag #ashg2010. The following summaries and reflections represent a composite of tweets, other people’s notes, and my personal notes and impressions.
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A wordle says… a thousand words

… or, in this case, 75.

wordle1

The day has finally come – the day before my thesis proposal dissertation oral defense exam whatsit. I’m feeling pretty good about it, mostly because after many late nights slaving over my slides, after writing and adding and changing and tweaking language endlessly to make sure I’m saying everything I need to say but not saying too much, after spending hours running new code to produce new calculations to produce new figures only to conclude not to include them in the talk, after slashing and burning more than half of the slides multiple times, once accompanied by a despondent “arrrgghh!! He HATES it!!”… I’m feeling unreasonably ok about tomorrow because my presentation is now, well, presentable.

For those of you who can’t hear me extoll the virtues of machine learning methods for function recognition in protein structures, I composed a Wordle from my notes associated with each slide. I think it summarizes my thesis rather well in 75 words or less.

My first wordles!

I know, I know – I’m a little late to the party. But when I tried to use Wordle to visualize talk abstracts from ISMB more than a month ago, it took so long that I figured my browser wasn’t configured for the applet and I gave up. It appears the input might have been the problem, though, because I just tried some RSS feeds and it works beautifully. So now I’m going on a bit of a Wordle binge. Here are the 3 blogs I used to have or still contribute to: More Fist Pumping, All Exciting At First, and One Big Lab.

Apparently the word frequencies aren’t weighted by the number of posts – so my recent post on 2 of the blogs asking for platelet donations for my friend’s friend Katie dominates. Aside from that, nothing too surprising. Nothing terribly informative either, but I do like the pretty colors.