Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modified Boxplots00:57

Modified Boxplots

8.0K
A standard box and whisker plot informs us about the spread of the data in a given sample. One can identify the minimum value, maximum value, first quartile value, second quartile or median value, and third quartile.
However, the box plot does not tell the reader about outliers - values that lie far from the center of the data. We can modify the standard box and whisker plot to identify the outliers and visualize the actual spread of the data in a sample.
Initially, we calculate the adjusted...
8.0K
Boxplot01:12

Boxplot

10.8K
Box plots (also called box-and-whisker plots or box-whisker plots) give an excellent graphical image of the concentration of the data. They also show how far the extreme values are from most data. A box plot is constructed from five values: the minimum value, the first quartile, the median, the third quartile, and the maximum value. We use these values to compare how close other data values are to them. To construct a box plot, use a horizontal or vertical number line and a rectangular box. The...
10.8K
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

855
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
855
Scatter Plot01:15

Scatter Plot

8.5K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
8.5K
Residual Plots01:07

Residual Plots

4.7K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
4.7K
Overview of Minitab01:11

Overview of Minitab

1.1K
Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
1.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Overlapping gut microbiome signatures in aging and disease are characterized by enrichment of medication-associated oral microbes in the gut.

FEBS letters·2026
Same author

Gut microbiome features associated with Bifidobacterium colonization predict personalized probiotic persistence patterns.

Nature communications·2026
Same author

Artificial intelligence in microbial metagenomics.

Progress in molecular biology and translational science·2026
Same author

Urinary Microbiome Dysbiosis in Children With Congenital Uropathies at Varying Risk for Urinary Tract Infections.

Kidney international reports·2026
Same author

Mediterranean diet in treatment of inflammatory bowel disease: A systematic review and meta-analysis.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology·2026
Same author

Artificial Intelligence (AI) in microbiome-directed biotherapeutics development.

Progress in molecular biology and translational science·2026
Same journal

Integrating transcriptomics and metabolomics reveals the molecular landscape of sperm maturation driven by regional differentiation in the epididymis of Guizhou-Guiqian semi-fine wool sheep.

Genomics·2026
Same journal

Impact of genotype on histopathology and clinical characters in a Chinese cohort with obstructive hypertrophic cardiomyopathy.

Genomics·2026
Same journal

A novel reusable transcriptome-wide association study workflow used to map key genes linked to important cattle traits.

Genomics·2026
Same journal

The large mitochondrial genome of Syndiclis anlungensis (Lauraceae): Genome structure, comparative analysis, and phylogenetic relationships with other Syndiclis species.

Genomics·2026
Same journal

DeepGEP: Deep learning for gene expression prediction from multi-omics in mammals.

Genomics·2026
Same journal

Molecular features of external Auditory Canal cholesteatoma by microbial metagenomic sequencing.

Genomics·2026
See all related articles

Related Experiment Video

Updated: May 3, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

9.5K

Igloo-Plot: a tool for visualization of multidimensional datasets.

Bhusan K Kuntal1, Tarini Shankar Ghosh1, Sharmila S Mande1

  • 1Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.

Genomics
|January 22, 2014
PubMed
Summary
This summary is machine-generated.

Igloo-Plot is a new tool for visualizing complex, multi-dimensional biological datasets. It helps researchers easily identify data clusters and their specific marker features, aiding in pattern discovery.

Keywords:
AlgorithmsData miningMultivariate analysisSoftware

More Related Videos

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.2K
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

1.4K

Related Experiment Videos

Last Updated: May 3, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

9.5K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.2K
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

1.4K

Area of Science:

  • Biological Sciences
  • Bioinformatics
  • Data Science

Background:

  • Exponential growth in multivariate datasets from biological research presents significant visualization and analysis challenges.
  • Existing tools for multivariate data visualization have limitations in identifying clusters and their characteristic features.

Purpose of the Study:

  • To introduce Igloo-Plot, a novel tool for efficient visualization of multidimensional datasets.
  • To address key limitations of current multivariate visualization and analysis tools.
  • To facilitate the identification of data clusters and their specific marker features.

Main Methods:

  • Development of a new visualization tool named Igloo-Plot.
  • Implementation of a unique visualization layout designed for multidimensional data.
  • Demonstration of Igloo-Plot's capabilities using established multidimensional datasets.

Main Results:

  • Igloo-Plot enables straightforward identification of data clusters with similar feature compositions.
  • The tool effectively highlights 'marker features' unique to each identified cluster.
  • Applicability was validated across several well-studied multidimensional datasets.

Conclusions:

  • Igloo-Plot offers an efficient solution for visualizing and analyzing complex biological datasets.
  • The tool is expected to be valuable for researchers in multivariate data mining.
  • Igloo-Plot aids in uncovering hidden patterns within high-dimensional biological data.