MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison | |
Song, Baoxing1; Su, Xiaoquan1; Xu, Jian1,2,3; Ning, Kang1,2,3 | |
2012-11-08 | |
发表期刊 | PLOS ONE |
卷号 | 7期号:11 |
摘要 | The NGS (next generation sequencing)-based metagenomic data analysis is becoming the mainstream for the study of microbial communities. Faced with a large amount of data in metagenomic research, effective data visualization is important for scientists to effectively explore, interpret and manipulate such rich information. The visualization of the metagenomic data, especially multi-sample data, is one of the most critical challenges. The different data sample sources, sequencing approaches and heterogeneous data formats make robust and seamless data visualization difficult. Moreover, researchers have different focuses on metagenomic studies: taxonomical or functional, sample-centric or genome-centric, single sample or multiple samples, etc. However, current efforts in metagenomic data visualization cannot fulfill all of these needs, and it is extremely hard to organize all of these visualization effects in a systematic manner. An extendable, interactive visualization tool would be the method of choice to fulfill all of these visualization needs. In this paper, we have present MetaSee, an extendable toolbox that facilitates the interactive visualization of metagenomic samples of interests. The main components of MetaSee include: (I) a core visualization engine that is composed of different views for comparison of multiple samples: Global view, Phylogenetic view, Sample view and Taxa view, as well as link-out for more in-depth analysis; (II) front-end user interface with real metagenomic models that connect to the above core visualization engine and (III) open-source portal for the development of plug-ins for MetaSee. This integrative visualization tool not only provides the visualization effects, but also enables researchers to perform in-depth analysis of the metagenomic samples of interests. Moreover, its open-source portal allows for the design of plug-ins for MetaSee, which would facilitate the development of any additional visualization effects. ; The NGS (next generation sequencing)-based metagenomic data analysis is becoming the mainstream for the study of microbial communities. Faced with a large amount of data in metagenomic research, effective data visualization is important for scientists to effectively explore, interpret and manipulate such rich information. The visualization of the metagenomic data, especially multi-sample data, is one of the most critical challenges. The different data sample sources, sequencing approaches and heterogeneous data formats make robust and seamless data visualization difficult. Moreover, researchers have different focuses on metagenomic studies: taxonomical or functional, sample-centric or genome-centric, single sample or multiple samples, etc. However, current efforts in metagenomic data visualization cannot fulfill all of these needs, and it is extremely hard to organize all of these visualization effects in a systematic manner. An extendable, interactive visualization tool would be the method of choice to fulfill all of these visualization needs. In this paper, we have present MetaSee, an extendable toolbox that facilitates the interactive visualization of metagenomic samples of interests. The main components of MetaSee include: (I) a core visualization engine that is composed of different views for comparison of multiple samples: Global view, Phylogenetic view, Sample view and Taxa view, as well as link-out for more in-depth analysis; (II) front-end user interface with real metagenomic models that connect to the above core visualization engine and (III) open-source portal for the development of plug-ins for MetaSee. This integrative visualization tool not only provides the visualization effects, but also enables researchers to perform in-depth analysis of the metagenomic samples of interests. Moreover, its open-source portal allows for the design of plug-ins for MetaSee, which would facilitate the development of any additional visualization effects. Citation: Song B, Su X, Xu J, Ning K (2012) MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison. PLoS ONE 7(11): e48998. doi:10.1371/journal.pone.0048998 |
文章类型 | Article |
学科领域 | 功能基因组 |
WOS标题词 | Science & Technology |
DOI | 10.1371/journal.pone.0048998 |
关键词[WOS] | GUT MICROBIOME ; DIVERSITY ; RESOURCE ; GENOMES |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000312269500058 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qibebt.ac.cn/handle/337004/1416 |
专题 | 单细胞中心组群 |
作者单位 | 1.Chinese Acad Sci, BioEnergy Genome Ctr, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao, Shandong, Peoples R China 2.Chinese Acad Sci, Shandong Key Lab Energy Genet, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao, Shandong, Peoples R China 3.Chinese Acad Sci, CAS Key Lab Biofuels, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Song, Baoxing,Su, Xiaoquan,Xu, Jian,et al. MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison[J]. PLOS ONE,2012,7(11). |
APA | Song, Baoxing,Su, Xiaoquan,Xu, Jian,&Ning, Kang.(2012).MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison.PLOS ONE,7(11). |
MLA | Song, Baoxing,et al."MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison".PLOS ONE 7.11(2012). |
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