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PaGeFinder: quantitative identification of spatiotemporal pattern genes

Summary: Pattern Gene Finder (PaGeFinder) is a web-based server for on-line detection of gene expression patterns from serial transcriptomic data generated by high-throughput technologies like microarray or next-generation sequencing. Three particular parameters, the specificity measure, the dispers...

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Detalles Bibliográficos
Autores principales: Pan, Jian-Bo, Hu, Shi-Chang, Wang, Hao, Zou, Quan, Ji, Zhi-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356841/
https://www.ncbi.nlm.nih.gov/pubmed/22492640
http://dx.doi.org/10.1093/bioinformatics/bts169
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author Pan, Jian-Bo
Hu, Shi-Chang
Wang, Hao
Zou, Quan
Ji, Zhi-Liang
author_facet Pan, Jian-Bo
Hu, Shi-Chang
Wang, Hao
Zou, Quan
Ji, Zhi-Liang
author_sort Pan, Jian-Bo
collection PubMed
description Summary: Pattern Gene Finder (PaGeFinder) is a web-based server for on-line detection of gene expression patterns from serial transcriptomic data generated by high-throughput technologies like microarray or next-generation sequencing. Three particular parameters, the specificity measure, the dispersion measure and the contribution measure, were introduced and implemented in PaGeFinder to help quantitative and interactive identification of pattern genes like housekeeping genes, specific (selective) genes and repressed genes. Besides the on-line computation service, the PaGeFinder also provides downloadable Java programs for local detection of gene expression patterns. Availability: http://bioinf.xmu.edu.cn:8080/PaGeFinder/index.jsp Contact: appo@xmu.edu.cn; zouquan@xmu.edu.cn
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spelling pubmed-33568412012-05-21 PaGeFinder: quantitative identification of spatiotemporal pattern genes Pan, Jian-Bo Hu, Shi-Chang Wang, Hao Zou, Quan Ji, Zhi-Liang Bioinformatics Applications Note Summary: Pattern Gene Finder (PaGeFinder) is a web-based server for on-line detection of gene expression patterns from serial transcriptomic data generated by high-throughput technologies like microarray or next-generation sequencing. Three particular parameters, the specificity measure, the dispersion measure and the contribution measure, were introduced and implemented in PaGeFinder to help quantitative and interactive identification of pattern genes like housekeeping genes, specific (selective) genes and repressed genes. Besides the on-line computation service, the PaGeFinder also provides downloadable Java programs for local detection of gene expression patterns. Availability: http://bioinf.xmu.edu.cn:8080/PaGeFinder/index.jsp Contact: appo@xmu.edu.cn; zouquan@xmu.edu.cn Oxford University Press 2012-06-01 2012-04-06 /pmc/articles/PMC3356841/ /pubmed/22492640 http://dx.doi.org/10.1093/bioinformatics/bts169 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Pan, Jian-Bo
Hu, Shi-Chang
Wang, Hao
Zou, Quan
Ji, Zhi-Liang
PaGeFinder: quantitative identification of spatiotemporal pattern genes
title PaGeFinder: quantitative identification of spatiotemporal pattern genes
title_full PaGeFinder: quantitative identification of spatiotemporal pattern genes
title_fullStr PaGeFinder: quantitative identification of spatiotemporal pattern genes
title_full_unstemmed PaGeFinder: quantitative identification of spatiotemporal pattern genes
title_short PaGeFinder: quantitative identification of spatiotemporal pattern genes
title_sort pagefinder: quantitative identification of spatiotemporal pattern genes
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356841/
https://www.ncbi.nlm.nih.gov/pubmed/22492640
http://dx.doi.org/10.1093/bioinformatics/bts169
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