Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yaragatti, Mahesh, Wen, Qi
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
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
_version_ 1782166929705795584
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