2007
DOI: 10.1007/978-1-59745-547-3_4
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From Promoter Analysis to Transcriptional Regulatory Network Prediction Using PAINT

Abstract: Highly parallel gene-expression analysis has led to analysis of gene regulation, in particular coregulation, at a system level. Promoter analysis and interaction network toolset (PAINT) was developed to provide the biologist a computational tool to integrate functional genomics data, for example, from microarray-based gene-expression analysis with genomic sequence data to carry out transcriptional regulatory network analysis (TRNA). TRNA combines bioinformatics, used to identify and analyze gene-regulatory reg… Show more

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Cited by 21 publications
(17 citation statements)
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“…The PAINT tool (28) offers similar functionality by integrating Match (16) in the TRANSFAC Public or Professional databases and promoter sequence retrieval for human, mouse and rat. Compared to PAINT, LASAGNA-Search contains 1726 TF models from four source databases and retrieves promoters for seven species.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The PAINT tool (28) offers similar functionality by integrating Match (16) in the TRANSFAC Public or Professional databases and promoter sequence retrieval for human, mouse and rat. Compared to PAINT, LASAGNA-Search contains 1726 TF models from four source databases and retrieves promoters for seven species.…”
Section: Resultsmentioning
confidence: 99%
“…The MAPPER2 database (10) supports visualization of hits in the UCSC Genome Browser (29) for three organisms. Another useful fuction is visual representation of predicted binding specificities as a gene regulatory network (GRN) (28). Until now, there was no single web tool that incorporated all the aforementioned features.…”
mentioning
confidence: 99%
“…Transcriptional Regulation Element Promotor Analysis and Interaction Network-Over-represented transcription factor response elements (TRE) were identified within promoter sequences (500 bp upstream of transcription start site(s)) of significantly up-and down-regulated genes using the PAINT version 4.0 (35,36). For the 261 genes that showed significant down-regulation, 232 corresponding unique upstream sequences were found, with 164 TREs detected based on a core similarity threshold of 1.0.…”
Section: Methodsmentioning
confidence: 99%
“…edu/dbi/tools/paint) [23]. Affymetrix probeset IDs were converted to mouse NCBI Gene IDs using NetAffx and NCBI Homologene databases.…”
Section: Bioinformaticsmentioning
confidence: 99%