Gamers Outdo Computers At DNA Sequence Alignments

ananyo writes "In another victory for crowdsourcing, gamers playing Phylo have beaten a state-of-the-art program at aligning regions of 521 disease-associated genes form different species. The 'multiple sequence alignment problem' refers to the difficulty of aligning roughly similar sequences of DNA in genes common to many species. DNA sequences that are conserved across species may play an important role in the ultimate function of that particular gene. But with thousands of genomes likely to be sequenced in the next few years, sequence alignment will only become more difficult in future. Researchers now report that players of Phylo have produced roughly 350,000 solutions to various multiple sequence alignment problems, beating the accuracy of alignments from a program in roughly 70% of the sequences they manipulated."

Comments

would be interesting to mine their data

[Trepidity]

I'm highly skeptical that these gamers are really using some un-automatable human-only deep skills, especially since they aren't exactly extensively trained in this game, not to the level of, say, good Go players. So the interesting question to me is not that they beat current algorithms, but whether data mining these hundreds of thousands of alignments can tell us something about how they're doing it. My guess is that there are some heuristics that can be mined from this data that would massively speed up search.

That's a more general point about how these stories are always pushed, though, sometimes by media, sometimes by the researchers themselves. Imo the most exciting thing about successful uses of "human computation" isn't that we can harness people to do things, but that we can gain some large data sets that will make it so we don't have to get people to do them anymore. Or at least, that should be the baseline, imo: that humans can beat some hand-crafted algorithm is one thing, but can they beat machine-learned algorithms trained on those humans' own gameplay logs?