Txn Fac ChIP V2 Track Settings
 
Transcription Factor ChIP-seq from ENCODE (V2)   (ENCODE Regulation)

This track is part of a parent called 'ENCODE Regulation'. To show other tracks of this parent, go to the ENCODE Regulation configuration page.

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Cluster right label: cell count (detected/assayed)   cell abbreviations

+  Cell Abbreviations
Metadata:
Principal Investigator on grant:Kent
Lab producing data:Kent - UC Santa Cruz
Experiment (Assay) type:Integ Cluster
Date restrictions end:2011-10-21
tableName:wgEncodeRegTfbsClusteredV2
fileName:wgEncodeRegTfbsClusteredV2.bed.gz
View table: schema, downloads
Data version: ENCODE Jan 2011 Freeze
Data last updated: 2012-05-26

Description

This track shows regions where transcription factors, proteins responsible for modulating gene transcription, bind to DNA as assayed by ChIP-seq (chromatin immunoprecipitation with antibodies specific to the transcription factor followed by sequencing of the precipitated DNA). Additional views of this dataset and additional documentation on the methods used for this track are available at the ENC TF Binding Supertrack page. The peaks were computed using a uniform pipeline developed by Anshul Kundaje that uses the variation between the two replicates to develop sensible peak thresholds. This track combines data from many different cell lines and transcription-factor targeting antibodies into a relatively dense display.

Display Conventions

A gray box encompasses the peaks of transcription factor occupancy. The darkness of the box is proportional to the maximum signal strength observed in any cell line. The name to the left of the box is the transcription factor. The letters to the right represent the cell lines where a signal is detected. The darkness of the letter is proportional to the signal strength in the cell line. Click on an item in the track to see the cell lines spelled out.

Release Notes

Release 2 (May 2012) of this track fixes a bug that, in some cases, was causing the score values of signals within a cluster to be displayed incorrectly.

Credits

This track shows data from the Myers Lab at the HudsonAlpha Institute for Biotechnology and by the labs of Michael Snyder, Mark Gerstein and Sherman Weissman at Yale University; Peggy Farnham at UC Davis; and Kevin Struhl at Harvard. Kevin White at The University of Chicago. Vishy Iyer at The University of Texas Austin.

Data Release Policy

Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. The full data release policy for ENCODE is available here.