Phylo is an experimental citizen science game about multiple sequence alignment optimisation. Players solve pattern-matching puzzles that represent nucleotide sequences of different phylogenetic taxa to optimize alignments over a computer algorithm. Players attempt to create the highest point value score for each set of sequences by matching as many colours as possible and minimizing gaps. Phylo was developed by the McGill Centre for Bioinformatics.
From April 10th to April 15th, Citizen Science Games was hosting the @IamCitSci Twitter account. The whole week was dedicated to games and science. We storified the week in different episodes, in case you missed […]
Recent developments in digital technologies and the rise of the internet have created new opportunities for citizen science. One of these has been the development of online citizen science games where complex research problems have […]
Citizen science games such as Galaxy Zoo, Foldit, and Phylo aim to harness the intelligence and processing power generated by crowds of online gamers to solve scientific problems. However, the selection of the data to […]
Several months ago I started playing an online game called Phylo. It is both simple and challenging, and I can feel virtuous as I play, since (according to its website) the gameplay is helping scientists […]