Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data.

Gallant, Andrew.
Leiserson, Mark DM.
Kachalov, Maxim.
Cowen, Lenore J.
Hescott, Benjamin J.
2013

Background: New technology has resulted in high-throughput screens for pairwise genetic interactions in yeast and other model organisms. For each pair in a collection of non-essential genes, an epistasis score is obtained, representing how much sicker (or healthier) the double-knockout organism will be compared to what would be expected f... read more

Permanent URL
http://hdl.handle.net/10427/010064
Original publication
Gallant, Andrew, Mark DM Leiserson, Maxim Kachalov, Lenore J. Cowen, and Benjamin J. Hescott. "Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data." BMC Bioinformatics 14, no. 1 (12, 2013): 1-7.
ID: tufts:17308
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