Parameter estimation for robust HMM analysis of ChIP-chip data
نویسندگان
چکیده
منابع مشابه
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data
MOTIVATION Array-based analysis of chromatin immunoprecipitation (ChIP-chip) data is a powerful technique for identifying DNA target regions of individual transcription factors. The identification of these target regions from comprehensive promoter array ChIP-chip data is challenging. Here, three approaches for the identification of transcription factor target genes from promoter array ChIP-chi...
متن کاملUtilizing Promoter Pair Orientations for HMM-based Analysis of ChIP-chip Data
Array-based analysis of chromatin immunoprecipitation data (ChIP-chip) is a powerful technique for identifying DNA target regions of individual transcription factors. Here, we present three approaches, a standard log-fold-change analysis (LFC), a basic method based on a Hidden Markov Model (HMM), and an extension of the HMM approach to an HMM with scaled transition matrices (SHMM) to incorporat...
متن کاملChIP-chip: data, model, and analysis.
ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA-binding proteins in living cells. The ChIP-chip signals can be obtained over the whole genome by tiling arrays, where a peak shape is generally observed around a protein-binding site. In this article, we describe the ChIP-chip process and present a probability model for ChIP-ch...
متن کاملAn integrated workflow for analysis of ChIP-chip data.
Although ChIP-chip is a powerful tool for genome-wide discovery of transcription factor target genes, the steps involving raw data analysis, identification of promoters, and correlation with binding sites are still laborious processes. Therefore, we report an integrated workflow for the analysis of promoter tiling arrays with the Genomatix ChipInspector system. We compare this tool with open-so...
متن کاملStarr: Simple Tiling ARRay analysis for Affymetrix ChIP-chip data
Starr is an extension of the Ringo [6] package for the analysis of ChIP-chip projects. Whereas the latter is specialized to the processing of Nimblegen and Agilent arrays, the former provides all corresponding features for Affymetrix arrays. Data can be read in from Affymetrix CEL-files, or from text files in gff format. Standard quality assessment and data normalization tools are available. St...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2008
ISSN: 1471-2105
DOI: 10.1186/1471-2105-9-343