This super-track combines related tracks of ChIP-chip data generated by
laboratory at the University of California, Davis.
ChIP-chip, also known as genome-wide location analysis, is a technique for
isolation and identification of DNA sequences bound by specific proteins in
These tracks contain ChIP-chip data for several transcription
factors, including E2F1 and PolII, in multiple cell lines
including HeLa (cervical carcinoma) and GM06990 (lymphoblastoid).
ChIP assays were performed using the protocol found at the
Farnham laboratory web site.
Array hybridizations were performed using standard
Data are displayed as signals and hits.
These data were contributed by Mike Singer, Kyle Munn, Nan Jiang,
Todd Richmond and Roland Green of NimbleGen Systems, Inc.,
and Matt Oberley, David Inman, Mark Bieda, Shally Xu and Peggy Farnham
of the Farnham lab.
Bieda M, Xu X, Singer MA, Green R, Farnham PJ.
Unbiased location analysis of E2F1-binding sites suggests
a widespread role for E2F1 in the human genome.
Genome Res. 2006 May;16(5):595-605.