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Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks
Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by the concerted action of transcription factors, chromatin proteins and epigenetic mechanisms. High-throughput experimental data for genome wide in vivo protein–DNA interactions and epigenetic marks are...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773252/ https://www.ncbi.nlm.nih.gov/pubmed/19656951 http://dx.doi.org/10.1093/bioinformatics/btp469 |
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author | Tian, Feng Shah, Parantu K. Liu, Xiangjun Negre, Nicolas Chen, Jia Karpenko, Oleksiy White, Kevin P. Grossman, Robert L. |
author_facet | Tian, Feng Shah, Parantu K. Liu, Xiangjun Negre, Nicolas Chen, Jia Karpenko, Oleksiy White, Kevin P. Grossman, Robert L. |
author_sort | Tian, Feng |
collection | PubMed |
description | Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by the concerted action of transcription factors, chromatin proteins and epigenetic mechanisms. High-throughput experimental data for genome wide in vivo protein–DNA interactions and epigenetic marks are becoming available from large projects, such as the model organism ENCyclopedia Of DNA Elements (modENCODE) and from individual labs. Dissemination and visualization of these datasets in an explorable form is an important challenge. Results: To support research on Drosophila melanogaster transcription regulation and make the genome wide in vivo protein–DNA interactions data available to the scientific community as a whole, we have developed a system called Flynet. Currently, Flynet contains 101 datasets for 38 transcription factors and chromatin regulator proteins in different experimental conditions. These factors exhibit different types of binding profiles ranging from sharp localized peaks to broad binding regions. The protein–DNA interaction data in Flynet was obtained from the analysis of chromatin immunoprecipitation experiments on one color and two color genomic tiling arrays as well as chromatin immunoprecipitation followed by massively parallel sequencing. A web-based interface, integrated with an AJAX based genome browser, has been built for queries and presenting analysis results. Flynet also makes available the cis-regulatory modules reported in literature, known and de novo identified sequence motifs across the genome, and other resources to study gene regulation. Contact: grossman@uic.edu Availability: Flynet is available at https://www.cistrack.org/flynet/. Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-2773252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27732522009-11-05 Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks Tian, Feng Shah, Parantu K. Liu, Xiangjun Negre, Nicolas Chen, Jia Karpenko, Oleksiy White, Kevin P. Grossman, Robert L. Bioinformatics Original Papers Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by the concerted action of transcription factors, chromatin proteins and epigenetic mechanisms. High-throughput experimental data for genome wide in vivo protein–DNA interactions and epigenetic marks are becoming available from large projects, such as the model organism ENCyclopedia Of DNA Elements (modENCODE) and from individual labs. Dissemination and visualization of these datasets in an explorable form is an important challenge. Results: To support research on Drosophila melanogaster transcription regulation and make the genome wide in vivo protein–DNA interactions data available to the scientific community as a whole, we have developed a system called Flynet. Currently, Flynet contains 101 datasets for 38 transcription factors and chromatin regulator proteins in different experimental conditions. These factors exhibit different types of binding profiles ranging from sharp localized peaks to broad binding regions. The protein–DNA interaction data in Flynet was obtained from the analysis of chromatin immunoprecipitation experiments on one color and two color genomic tiling arrays as well as chromatin immunoprecipitation followed by massively parallel sequencing. A web-based interface, integrated with an AJAX based genome browser, has been built for queries and presenting analysis results. Flynet also makes available the cis-regulatory modules reported in literature, known and de novo identified sequence motifs across the genome, and other resources to study gene regulation. Contact: grossman@uic.edu Availability: Flynet is available at https://www.cistrack.org/flynet/. Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2009-11-15 2009-08-05 /pmc/articles/PMC2773252/ /pubmed/19656951 http://dx.doi.org/10.1093/bioinformatics/btp469 Text en http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Tian, Feng Shah, Parantu K. Liu, Xiangjun Negre, Nicolas Chen, Jia Karpenko, Oleksiy White, Kevin P. Grossman, Robert L. Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title_full | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title_fullStr | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title_full_unstemmed | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title_short | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks |
title_sort | flynet: a genomic resource for drosophila melanogaster transcriptional regulatory networks |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773252/ https://www.ncbi.nlm.nih.gov/pubmed/19656951 http://dx.doi.org/10.1093/bioinformatics/btp469 |
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