Home LiteratureArticle Details
PMID: 16500934 Published · ppublish English Journal Article

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

Bioinformatics (Oxford, England) ·Vol. 22 ·No. 8 ·2006-04-15 ·Pages 999-1001

Marinescu VD, Kohane IS, Kim TK, Harmin DA, Greenberg ME, Riva A

Abstract

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, termed sequence tag analysis and reporting tool (START), 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. The program is available at http://bio.chip.org/start/. SUPPLEMENTARY INFORMATION is available at http://bio.chip.org/doc/start/START-supplementary.pdf

MeSH Terms
Artificial Intelligence Chromatin/genetics Chromosome Mapping/methods Database Management Systems Databases, Genetic Information Storage and Retrieval/methods Internet Software Transcription Factors/genetics User-Computer Interface
Chemicals
Chromatin Transcription Factors
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Marinescu Voichita D
Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA. [email protected]
Kohane Isaac S
Kim Tae-Kyung
Harmin David A
Greenberg Michael E
Riva Alberto
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2006-04-15
Epub
2006-00-24
Pages
999-1001
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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