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GenGIS: A geospatial information system for genomic data.GenGIS:用于基因组数据的地理空间信息系统。
Genome Res. 2009 Oct;19(10):1896-904. doi: 10.1101/gr.095612.109. Epub 2009 Jul 27.
2
GenGIS 2: geospatial analysis of traditional and genetic biodiversity, with new gradient algorithms and an extensible plugin framework.GenGIS 2:传统和遗传生物多样性的地理空间分析,具有新的梯度算法和可扩展的插件框架。
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本文引用的文献

1
Time- and sediment depth-related variations in bacterial diversity and community structure in subtidal sands.潮下带沙地中细菌多样性和群落结构与时间及沉积物深度相关的变化
ISME J. 2009 Jul;3(7):780-91. doi: 10.1038/ismej.2009.29. Epub 2009 Apr 2.
2
Actinorhodopsin genes discovered in diverse freshwater habitats and among cultivated freshwater Actinobacteria.在不同的淡水生境以及培养的淡水放线菌中发现了肌动视紫红质基因。
ISME J. 2009 Jun;3(6):726-37. doi: 10.1038/ismej.2009.13. Epub 2009 Feb 26.
3
Prokaryotic genomes and diversity in surface ocean waters: interrogating the global ocean sampling metagenome.表层海水中的原核生物基因组与多样性:剖析全球海洋采样宏基因组
Appl Environ Microbiol. 2009 Apr;75(7):2221-9. doi: 10.1128/AEM.02118-08. Epub 2009 Feb 6.
4
The impact of reticulate evolution on genome phylogeny.网状进化对基因组系统发育的影响。
Syst Biol. 2008 Dec;57(6):844-56. doi: 10.1080/10635150802559265.
5
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis.核糖体数据库项目:改进的比对方法及用于rRNA分析的新工具。
Nucleic Acids Res. 2009 Jan;37(Database issue):D141-5. doi: 10.1093/nar/gkn879. Epub 2008 Nov 12.
6
bold: The Barcode of Life Data System (http://www.barcodinglife.org).重点:生命条形码数据系统(http://www.barcodinglife.org)。
Mol Ecol Notes. 2007 May 1;7(3):355-364. doi: 10.1111/j.1471-8286.2007.01678.x.
7
Colloquium paper: microbes on mountainsides: contrasting elevational patterns of bacterial and plant diversity.学术研讨会论文:山腰上的微生物:细菌与植物多样性的海拔分布差异
Proc Natl Acad Sci U S A. 2008 Aug 12;105 Suppl 1(Suppl 1):11505-11. doi: 10.1073/pnas.0801920105. Epub 2008 Aug 11.
8
Population genomic analysis of strain variation in Leptospirillum group II bacteria involved in acid mine drainage formation.参与酸性矿山排水形成的II型钩端螺旋菌菌株变异的群体基因组分析。
PLoS Biol. 2008 Jul 22;6(7):e177. doi: 10.1371/journal.pbio.0060177.
9
It's all relative: ranking the diversity of aquatic bacterial communities.一切都是相对的:水生细菌群落多样性的排名
Environ Microbiol. 2008 Sep;10(9):2200-10. doi: 10.1111/j.1462-2920.2008.01626.x. Epub 2008 Jul 14.
10
Modular networks and cumulative impact of lateral transfer in prokaryote genome evolution.模块化网络与原核生物基因组进化中横向转移的累积影响。
Proc Natl Acad Sci U S A. 2008 Jul 22;105(29):10039-44. doi: 10.1073/pnas.0800679105. Epub 2008 Jul 16.

GenGIS:用于基因组数据的地理空间信息系统。

GenGIS: A geospatial information system for genomic data.

作者信息

Parks Donovan H, Porter Michael, Churcher Sylvia, Wang Suwen, Blouin Christian, Whalley Jacqueline, Brooks Stephen, Beiko Robert G

机构信息

Dalhousie University, Halifax, Nova Scotia, Canada.

出版信息

Genome Res. 2009 Oct;19(10):1896-904. doi: 10.1101/gr.095612.109. Epub 2009 Jul 27.

DOI:10.1101/gr.095612.109
PMID:19635847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2765287/
Abstract

The increasing availability of genetic sequence data associated with explicit geographic and ecological information is offering new opportunities to study the processes that shape biodiversity. The generation and testing of hypotheses using these data sets requires effective tools for mathematical and visual analysis that can integrate digital maps, ecological data, and large genetic, genomic, or metagenomic data sets. GenGIS is a free and open-source software package that supports the integration of digital map data with genetic sequences and environmental information from multiple sample sites. Essential bioinformatic and statistical tools are integrated into the software, allowing the user a wide range of analysis options for their sequence data. Data visualizations are combined with the cartographic display to yield a clear view of the relationship between geography and genomic diversity, with a particular focus on the hierarchical clustering of sites based on their similarity or phylogenetic proximity. Here we outline the features of GenGIS and demonstrate its application to georeferenced microbial metagenomic, HIV-1, and human mitochondrial DNA data sets.

摘要

与明确的地理和生态信息相关的遗传序列数据越来越容易获取,这为研究塑造生物多样性的过程提供了新机会。利用这些数据集生成和检验假设需要有效的数学和可视化分析工具,这些工具能够整合数字地图、生态数据以及大型遗传、基因组或宏基因组数据集。GenGIS是一个免费的开源软件包,支持将数字地图数据与来自多个采样点的遗传序列和环境信息进行整合。该软件集成了基本的生物信息学和统计工具,为用户提供了针对其序列数据的广泛分析选项。数据可视化与地图显示相结合,以便清晰地了解地理与基因组多样性之间的关系,特别关注基于采样点相似性或系统发育接近度的分层聚类。在此,我们概述了GenGIS的功能,并展示了其在地理参考的微生物宏基因组、HIV-1和人类线粒体DNA数据集上的应用。