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

Improving Translational Accuracy02:07

Improving Translational Accuracy

3.8K
3.8K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.3K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
7.3K
Optimal Foraging00:48

Optimal Foraging

14.4K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.4K
Genomics02:02

Genomics

42.0K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
42.0K
Next-generation Sequencing03:00

Next-generation Sequencing

102.3K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
102.3K
Applications Of NMR In Biology01:25

Applications Of NMR In Biology

4.8K
Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics  for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.
4.8K

You might also read

Related Articles

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

Sort by
Same author

Biodegradable Alginate-Chitosan Hollow Nanospheres for Codelivery of Doxorubicin and Paclitaxel for the Effect of Human Lung Cancer A549 Cells.

BioMed research international·2018
Same author

Elevated histone H3 acetylation is associated with genes involved in T lymphocyte activation and glutamate decarboxylase antibody production in patients with type 1 diabetes.

Journal of diabetes investigation·2018
Same author

[SHORT-TERM EFFECTIVENESS OF PERCUTANEOUS PEDICLE SCREW GUIDED WITH PHOTOELECTRIC NAVIGATION FOR THORACOLUMBAR FRACTURES].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2018
Same author

Epigenetic dysregulation of ZEB1 is involved in LMO2-promoted T-cell acute lymphoblastic leukaemia leukaemogenesis.

Biochimica et biophysica acta. Molecular basis of disease·2018
Same author

Theoretical study of the intermolecular recognition mechanism between Survivin and substrate based on conserved binding mode analysis.

Journal of molecular graphics & modelling·2018
Same author

The asymmetry of neural symptoms in Wilson's disease patients detecting by diffusion tensor imaging, resting-state functional MRI, and susceptibility-weighted imaging.

Brain and behavior·2018
Same journal

Genome-wide analysis across Indian camel populations reveals genetic distinctiveness of the Kharai camel breed.

BMC genomics·2026
Same journal

Different genomic footprint of small insertion-deletion and structural variants determines the genetic divergence of indica and japonica rice.

BMC genomics·2026
Same journal

From nurse bee to queen egg: RNA-seq analysis of Apis mellifera eggs shows dietary protein-dependent gene regulation.

BMC genomics·2026
Same journal

A genome-wide association study to identify the genetic loci underlying carbapenem resistance in Acinetobacter baumannii.

BMC genomics·2026
Same journal

Comparative transcriptome analysis to reveal key drought stress-responsive genes in sorghum (Sorghum bicolor (L.) Moench).

BMC genomics·2026
Same journal

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BMC genomics·2026
See all related articles

Related Experiment Video

Updated: Apr 20, 2026

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

6.9K

High dimensional biological data retrieval optimization with NoSQL technology.

Shicai Wang, Ioannis Pandis, Chao Wu

    BMC Genomics
    |December 2, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new key-value data model using HBase significantly speeds up querying large-scale transcriptomic data, outperforming traditional relational databases. This advancement promises improved performance for translational medicine data warehouses like tranSMART.

    More Related Videos

    Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
    07:26

    Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

    Published on: March 19, 2018

    9.8K
    Mining Spatial Transcriptomics Datasets using DeepSpaceDB
    10:16

    Mining Spatial Transcriptomics Datasets using DeepSpaceDB

    Published on: September 5, 2025

    1.1K

    Related Experiment Videos

    Last Updated: Apr 20, 2026

    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

    6.9K
    Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
    07:26

    Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

    Published on: March 19, 2018

    9.8K
    Mining Spatial Transcriptomics Datasets using DeepSpaceDB
    10:16

    Mining Spatial Transcriptomics Datasets using DeepSpaceDB

    Published on: September 5, 2025

    1.1K

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Science

    Background:

    • High-throughput transcriptomic data from microarrays is abundant in translational medicine.
    • Current relational databases in warehouses like tranSMART exhibit slow query performance for large gene expression datasets.
    • Non-relational models, particularly key-value stores, offer potential performance improvements.

    Purpose of the Study:

    • To introduce and evaluate a novel data model for efficient storage and querying of high-dimensional biological data.
    • To enhance the performance of the tranSMART data warehouse, with future application to Next Generation Sequencing data.

    Main Methods:

    • Designed a key-value pair data model for high-dimensional data.
    • Implemented the key-value model using HBase (an implementation of Google's BigTable).
    • Conducted performance comparisons against relational models in MySQL Cluster and MongoDB using a large transcriptomic dataset (Multiple Myeloma from NCBI GEO).

    Main Results:

    • The key-value data model implemented in HBase demonstrated an average 5.24-fold increase in query performance over MySQL Cluster.
    • The HBase implementation showed an average 6.47-fold increase in query performance over MongoDB.
    • The new model significantly improves query speed for large-scale biological data.

    Conclusions:

    • The key-value data model, specifically with HBase, outperforms the relational model in tranSMART.
    • NoSQL technology, particularly key-value stores, shows significant promise for managing large-scale, high-dimensional biological data.
    • This new data model will serve as a foundation for migrating tranSMART to a more scalable Big Data solution.