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 Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

481
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...
481

You might also read

Related Articles

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

Sort by
Same author

The new era shaped by environmental genome monitoring - symposium of the japanese environmental mutagen and genome society (JEMS), 2024.

Genes and environment : the official journal of the Japanese Environmental Mutagen Society·2025
Same author

Harnessing the Taskforce on Nature-related Financial Disclosures (TNFD) for chemical risk management with integrated ecotoxicology and ecology.

Environmental toxicology and chemistry·2025
Same author

Identification of drug responsible glycogene signature in liver carcinoma from meta-analysis using RNA-seq data.

Glycoconjugate journal·2024
Same author

Potential Role of Lipase Activity on the Internal Exposure Assessment of Glycidol Released from Its Fatty Acid Esters.

Toxics·2023
Same author

Factors Influencing the Formation of Chemical-Hemoglobin Adducts.

Toxics·2022
Same author

Does External Exposure of Glycidol-Related Chemicals Influence the Forming of the Hemoglobin Adduct, <i>N</i>-(2,3-dihydroxypropyl)valine, as a Biomarker of Internal Exposure to Glycidol?

Toxics·2020

Related Experiment Video

Updated: May 31, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.2K

Snowflake Data Warehouse for Large-Scale and Diverse Biological Data Management and Analysis.

Tatsuya Koreeda1, Hiroshi Honda2, Jun-Ichi Onami3

  • 1CLINIC FOR Group, Nagisa Terrace 4F, 3-1-32 Shibaura, Minato-ku, Tokyo 108-0023, Japan.

Genes
|January 25, 2025
PubMed
Summary

Managing large biological datasets from next-generation sequencing is challenging. This study proposes using Snowflake, a cloud data warehouse, for efficient data management and analysis in bioinformatics, accelerating research discovery.

Keywords:
Snowflakebig databiodatabioinformaticsdata sciencedata warehouse

More Related Videos

A Femtoliter Droplet Array for Massively Parallel Protein Synthesis from Single DNA Molecules
10:45

A Femtoliter Droplet Array for Massively Parallel Protein Synthesis from Single DNA Molecules

Published on: June 20, 2020

10.2K
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

11.3K

Related Experiment Videos

Last Updated: May 31, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.2K
A Femtoliter Droplet Array for Massively Parallel Protein Synthesis from Single DNA Molecules
10:45

A Femtoliter Droplet Array for Massively Parallel Protein Synthesis from Single DNA Molecules

Published on: June 20, 2020

10.2K
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

11.3K

Area of Science:

  • Bioinformatics and Computational Biology
  • Genomics and Biotechnology

Background:

  • Rapid advancements in next-generation sequencing (NGS) generate massive genomic, transcriptomic, and metagenomic datasets.
  • Effective management and analysis of these large-scale, diverse biological data are critical challenges in life sciences.

Purpose of the Study:

  • To address the challenges of managing and analyzing large-scale biological data.
  • To propose and demonstrate a framework using cloud data warehouses, specifically Snowflake, for bioinformatics research.

Main Methods:

  • Utilizing Snowflake, a Software-as-a-Service (SaaS)-based data platform, as a cloud data warehouse.
  • Developing a data management and analysis framework tailored for biological data.
  • Applying the framework to practical examples including disease variant analysis and in silico drug discovery.

Main Results:

  • Demonstrated the convenience and effectiveness of the Snowflake-based framework for biological data.
  • Showcased efficient management and integrated analysis of diverse biological data types.
  • Facilitated discovery of new biological insights through practical applications.

Conclusions:

  • Cloud data warehouses like Snowflake offer a robust solution for managing and analyzing large-scale biological data.
  • The proposed framework accelerates research progress in bioinformatics by enabling efficient data handling and integrated analysis.
  • Snowflake empowers researchers to derive novel biological insights from complex datasets.