Crowdsourcing and mining crowd data

Pacific Symposium on Biocomputing

Volumn , Issue , 2015, Pages 267-269

  Leaman, Robert ^a   Good, Benjamin M ^b   Su, Andrew I ^b   Lu, Zhiyong ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b SCRIPPS RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; CROWDSOURCING; DATA MINING; HUMAN; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; CROWDSOURCING; DATA MINING; HUMANS;

EID: 84971343428     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (6)

1. Good BM, Su AI: Crowdsourcing for Bioinformatics. Bioinformatics 2013, 29(16):1925-1933.
2. Burger JD, Doughty E, Khare R, Wei CH, Mishra R, Aberdeen J, Tresner-Kirsch D, Wellner B, Kann MG, Lu Z et al: Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing. Database (Oxford) 2014, 2014.
3. Cooper S, Khatib F, Treuille A, Barbero J, Lee J, Beenen M, Leaver-Fay A, Baker D, Popovic Z, Players F: Predicting protein structures with a multiplayer online game. Nature 2010, 466(7307):756-760.
4. Finn RD, Gardner PP, Bateman A: Making your database available through Wikipedia: the pros and cons. Nucleic Acids Res 2012, 40(Database issue):D9-12.
5. Eysenbach G: Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of medical Internet research 2009, 11(1):e11.
6. Kawrykow A, Roumanis G, Kam A, Kwak D, Leung C, Wu C, Zarour E, Sarmenta L, Blanchette M, Waldispuhl J: Phylo: a citizen science approach for improving multiple sequence alignment. PloS one 2012, 7(3):e31362.