Detail publikace

Bipartite Graphs for Visualization Analysis of Microbiome Data

SEDLÁŘ, K. VÍDEŇSKÁ, P. ŠKUTKOVÁ, H. RYCHLÍK, I. PROVAZNÍK, I.

Originální název

Bipartite Graphs for Visualization Analysis of Microbiome Data

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Visualization analysis plays an important role in metagenomics research. Proper and clear visualization can help researchers get their first insights into data and by selecting different features, also revealing and highlighting hidden relationships and drawing conclusions. To prevent the resulting presentations from becoming chaotic, visualization techniques have to properly tackle the high dimensionality of microbiome data. Although a number of different methods based on dimensionality reduction, correlations, Venn diagrams, and network representations have already been published, there is still room for further improvement, especially in the techniques that allow visual comparison of several environments or developmental stages in one environment. In this article, we represent microbiome data by bipartite graphs, where one partition stands for taxa and the other stands for samples. We demonstrated that community detection is independent of taxonomical level. Moreover, focusing on higher taxonomical levels and the appropriate merging of samples greatly helps improving graph organization and makes our presentations clearer than other graph and network visualizations. Capturing labels in the vertices also brings the possibility of clearly comparing two or more microbial communities by showing their common and unique parts.

Klíčová slova

metagenomics; OTU table; 16S rRNA; bipartite graph; visualization analysis; graph modularity

Autoři

SEDLÁŘ, K.; VÍDEŇSKÁ, P.; ŠKUTKOVÁ, H.; RYCHLÍK, I.; PROVAZNÍK, I.

Vydáno

31. 5. 2016

Nakladatel

Libertas Academica

ISSN

1176-9343

Periodikum

EVOLUTIONARY BIOINFORMATICS

Ročník

12

Číslo

S1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

17

Strany do

23

Strany počet

7

URL

Plný text v Digitální knihovně

BibTex

@article{BUT125530,
  author="Karel {Sedlář} and Petra {Vídeňská} and Helena {Vítková} and Ivan {Rychlík} and Valentine {Provazník}",
  title="Bipartite Graphs for Visualization Analysis of Microbiome Data",
  journal="EVOLUTIONARY BIOINFORMATICS",
  year="2016",
  volume="12",
  number="S1",
  pages="17--23",
  doi="10.4137/EBO.S38546",
  issn="1176-9343",
  url="https://doi.org/10.4137/EBO.S38546"
}