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Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference anddoi:10.1093/bib/bbp057 pmid:20061351 pmcid:PMC2810115 fatcat:xbj7ugs6nbed7guys2ie5z3efa