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Analysis of Functional Genomic Signals Using the XOR Gate
Modeling gene regulatory networks requires recognition of active transcriptional sites in the genome. For this reason, we present a novel approach for inferring active transcriptional regulatory modules in a genome using an established systems model of bit encoded DNA sequences. Our analysis showed...
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2680033/ https://www.ncbi.nlm.nih.gov/pubmed/19440336 http://dx.doi.org/10.1371/journal.pone.0005608 |
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author | Yaragatti, Mahesh Wen, Qi |
author_facet | Yaragatti, Mahesh Wen, Qi |
author_sort | Yaragatti, Mahesh |
collection | PubMed |
description | Modeling gene regulatory networks requires recognition of active transcriptional sites in the genome. For this reason, we present a novel approach for inferring active transcriptional regulatory modules in a genome using an established systems model of bit encoded DNA sequences. Our analysis showed variations in several properties between random and functional sequences. Cross correlation within random and functional groups uncovered a wave pattern associated with functional sequences. Using the exclusive-OR (XOR) logic gate, we formulated a scheme to threshold signals that may correlate to putative active transcriptional modules from a population of random genomic fragments. It is our intent to use this as a basis for identifying novel regulatory sites in the genome. |
format | Text |
id | pubmed-2680033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-26800332009-05-18 Analysis of Functional Genomic Signals Using the XOR Gate Yaragatti, Mahesh Wen, Qi PLoS One Research Article Modeling gene regulatory networks requires recognition of active transcriptional sites in the genome. For this reason, we present a novel approach for inferring active transcriptional regulatory modules in a genome using an established systems model of bit encoded DNA sequences. Our analysis showed variations in several properties between random and functional sequences. Cross correlation within random and functional groups uncovered a wave pattern associated with functional sequences. Using the exclusive-OR (XOR) logic gate, we formulated a scheme to threshold signals that may correlate to putative active transcriptional modules from a population of random genomic fragments. It is our intent to use this as a basis for identifying novel regulatory sites in the genome. Public Library of Science 2009-05-19 /pmc/articles/PMC2680033/ /pubmed/19440336 http://dx.doi.org/10.1371/journal.pone.0005608 Text en Yaragatti et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yaragatti, Mahesh Wen, Qi Analysis of Functional Genomic Signals Using the XOR Gate |
title | Analysis of Functional Genomic Signals Using the XOR Gate |
title_full | Analysis of Functional Genomic Signals Using the XOR Gate |
title_fullStr | Analysis of Functional Genomic Signals Using the XOR Gate |
title_full_unstemmed | Analysis of Functional Genomic Signals Using the XOR Gate |
title_short | Analysis of Functional Genomic Signals Using the XOR Gate |
title_sort | analysis of functional genomic signals using the xor gate |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2680033/ https://www.ncbi.nlm.nih.gov/pubmed/19440336 http://dx.doi.org/10.1371/journal.pone.0005608 |
work_keys_str_mv | AT yaragattimahesh analysisoffunctionalgenomicsignalsusingthexorgate AT wenqi analysisoffunctionalgenomicsignalsusingthexorgate |