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

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

351
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
351
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

6.4K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
6.4K
RNA-seq03:21

RNA-seq

9.5K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.5K
FISH - Fluorescent In-situ Hybridization02:07

FISH - Fluorescent In-situ Hybridization

17.6K
Fluorescence in situ hybridization, or FISH, was developed in the early 1980s and has quickly become one of the most widely used techniques in cytogenetics. Labeled probes are used to bind complementary DNA or RNA sequences on a chromosome or in a region within a cell. Earlier, the probes could only be obtained by cloning or reverse transcription of a DNA template. Currently, the probe oligonucleotides can be synthesized synthetically. Additionally, with the advancement of optical techniques,...
17.6K
DNA Microarrays02:34

DNA Microarrays

16.9K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
16.9K
In-situ Hybridization02:31

In-situ Hybridization

9.2K
In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
9.2K

You might also read

Related Articles

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

Sort by
Same author

Correction: One-step and two-step qPCR assays for CAPRV2023: development and application in full-cycle epidemiological surveillance of golden pompano.

Frontiers in veterinary science·2026
Same author

How to make big data accessible to plant biologists and beyond: Ten years of lessons from TBtools.

Molecular plant·2026
Same author

Evaluation of the immunological efficacy of EsxA subunit vaccine and DNA vaccine against Streptococcus iniae in golden pompano (Trachinotus anak).

Fish & shellfish immunology·2026
Same author

Systemic application of IL-33 for cancer immunoprevention and immunotherapy.

Molecular therapy : the journal of the American Society of Gene Therapy·2026
Same author

Manganese (Hydr)oxides record the dynamic evolution of a million-year Hesperian Ocean in Utopia Planitia, Mars.

Nature communications·2026
Same author

Establishment of One-Pot ERA-CRISPR/Cas12a-Based Rapid Visual Assays and a TaqMan Quantitative PCR Assay for <i>Lactococcus garvieae</i>.

Microorganisms·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.8K

A DNA-based semantic fusion model for remote sensing data.

Heng Sun1, Jian Weng, Guangchuang Yu

  • 1Department of Computer Science, College of Information Science and Technology, Jinan University, Guangzhou, People's Republic of China.

Plos One
|October 12, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel DNA-based model for semantic fusion of big remote sensing data, significantly reducing processing time and DNA synthesis costs through parallel encoding and bit-wise conversion.

More Related Videos

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

942

Related Experiment Videos

Last Updated: May 7, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.8K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

942

Area of Science:

  • Computer Science
  • Bioinformatics
  • Remote Sensing

Background:

  • Ontologies are crucial for managing semantic information in big data research.
  • Current semantic fusion methods struggle with the increasing volume of remote sensing data.
  • DNA's massive parallelism offers a potential solution for efficient data processing.

Purpose of the Study:

  • To develop a remote sensing data ontology for semantic fusion-driven big data research.
  • To propose and theoretically describe a novel DNA-based semantic fusion model.
  • To demonstrate the efficiency of DNA-based semantic fusion for remote sensing data.

Main Methods:

  • Development of a remote sensing data ontology (1,264 concepts, 2,030 relationships).
  • A parallel DNA-based model for encoding semantic information using bit-wise conversion.
  • Theoretical algorithm for DNA-based semantic fusion using ligation and screening.

Main Results:

  • Significant reduction in data conversion time (81,536s to 4,937s for 4.34 GB).
  • Reduced DNA synthesis cost with a parallel C program (54.51 GB vs. 57.89 GB).
  • Encoding of data types for future DNA computer type systems.

Conclusions:

  • The DNA-based semantic fusion model offers a highly efficient approach for big remote sensing data.
  • Parallel processing and bit-wise conversion in DNA significantly improve performance and reduce costs.
  • This work lays the groundwork for advanced DNA computing applications in data integration.