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

Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

1.1K
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
1.1K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

834
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
834
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.4K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Recent Advances in the Synthesis of 1,4-Enynes and Their Applications in Organic Synthesis.

Chemical record (New York, N.Y.)·2026
Same author

Single cell spatial transcriptomics track the evolutionary hierarchy and microenvironment remodeling during breast carcinoma invasion.

Nature communications·2026
Same author

Repeatability of SpotChecks contrast sensitivity test in macular disease.

Optometry and vision science : official publication of the American Academy of Optometry·2026
Same author

Development and Assessment of Rutin/Betamethasone-Loaded PAN-PVP Nanofibers for Wound Healing Applications.

Current drug delivery·2026
Same author

Role of TRPA1 channel activation in exacerbating allergic airway inflammation mediated by 4-Nitrodiphenylamine.

Chemico-biological interactions·2026
Same author

High-Spin Pt Sites of Intermetallic Compound via Pinning Effect Boost Oxygen Reduction Performance.

Angewandte Chemie (International ed. in English)·2026

Related Experiment Video

Updated: Jan 14, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

817

SPDEv3.0: A multidisciplinary integrated data analysis platform.

Dong Xu1,2, Kangming Jin3, Quanling Zhang4

  • 1State Key Laboratory of Tropical Crop Breeding, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.

Plant Physiology
|October 23, 2025
PubMed
Summary
This summary is machine-generated.

SPDEv3.0 is a new bioinformatics platform that automates plant genomics research. It integrates over 130 functions for gene identification, primer design, and visualization, enhancing efficiency and reproducibility in plant breeding.

More Related Videos

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

18.1K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

77.1K

Related Experiment Videos

Last Updated: Jan 14, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

817
An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

18.1K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

77.1K

Area of Science:

  • Plant genomics
  • Bioinformatics
  • Computational biology

Background:

  • Plant research struggles with integrating diverse data and fragmented analytical workflows.
  • Limited automation in current tools hinders efficiency and reproducibility.
  • Need for an integrated solution to streamline complex plant genomics tasks.

Purpose of the Study:

  • To develop SPDEv3.0, a fully integrated bioinformatics platform with a graphical user interface.
  • To address limitations in data integration, automation, and visualization in plant research.
  • To enhance efficiency, reproducibility, and accessibility of plant genomics and breeding research.

Main Methods:

  • Developed SPDEv3.0, a platform with over 130 functions across seven modules.
  • Integrated high-level automation for tasks like gene family identification and primer design.
  • Included over 30 customizable visualization functions and 40 classical breeding methods.

Main Results:

  • SPDEv3.0 streamlines complex workflows with minimal manual intervention.
  • Collinearity analysis completed in under 2 minutes for plant genomes.
  • Users can generate publication-ready figures without coding.
  • Automated computation for 40 classical breeding methods is supported.
  • Benchmarking shows robust performance and scalability across large plant genomes.

Conclusions:

  • SPDEv3.0 offers a powerful and accessible solution for modern plant genomics and breeding.
  • The platform enhances analytical efficiency and reproducibility through high automation.
  • Integrated visualization and breeding methods support data-driven research and discovery.