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Bioinformatics Advance Access published online on February 24, 2006

Bioinformatics, doi:10.1093/bioinformatics/btl062
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© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received December 19, 2005
Revised February 15, 2006
Accepted February 18, 2006

Applications note

START: an automated tool for serial analysis of chromatin occupancy data

Voichita D. Marinescu 1 *, Isaac S. Kohane 1, Tae-Kyung Kim 2, David A. Harmin 2, Michael E. Greenberg 2, and Alberto Riva 1

1 Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Children's Hospital Boston, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA
2 Division of Neuroscience, Children's Hospital Boston, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA

* To whom correspondence should be addressed.
Voichita D. Marinescu, E-mail: vdmarinescu{at}chip.org


   Abstract

Summary: The serial analysis of chromatin occupancy technique (SACO) promises to become a widely used method for the unbiased genome-wide experimental identification of loci bound by a transcription factor of interest. We describe the first web-based automatic tool, named START--Sequence Tag Analysis and Reporting Tool, for processing SACO data generated by experiments performed for the yeast, fruit fly, mouse, rat or human genomes. The program uses as input sequences of inserts from a SACO library from which it extracts all SACO tags, maps them to genomic locations and annotates them. START returns detailed information about these tags including the genes, the genomic elements and the miRNA precursors found in their vicinity, and makes use of the MAPPER database to identify putative transcription factor binding sites located close to the tags.

Availability: The program is available at http://bio.chip.org/start/.

Supplementary information: is available at http://bio.chip.org/doc/start/START-supplementary.doc.


Associate Editor: Martin Bishop
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