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

Synthetic Biology02:55

Synthetic Biology

4.4K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.4K
Genomics02:02

Genomics

35.4K
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...
35.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
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...
5.8K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

705
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
705
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.7K
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...
1.7K
Calmodulin-dependent Signaling01:16

Calmodulin-dependent Signaling

4.9K
Calmodulin (CaM) is a calcium-binding protein in eukaryotes that controls various calcium-regulated cellular processes. It has four calcium-binding sites that bind calcium to form the calcium-calmodulin ( Ca2+-CaM) complex. GPCR stimulation increases the calcium levels in the cells that bind to CaM and induces a conformational change.
The Ca2+-CaM complex does not have enzymatic activity by itself. Instead, the complex binds downstream target proteins, including membrane proteins or enzymes,...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Provenance Tracing in Network Diffusion Algorithms.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same author

SynVerse: a modular framework for building and evaluating deep learning-based drug synergy prediction models.

Briefings in bioinformatics·2025
Same author

NEFFy: a versatile tool for computing the number of effective sequences.

Bioinformatics (Oxford, England)·2025
Same author

ICoN: integration using co-attention across biological networks.

Bioinformatics advances·2025
Same author

Current and future directions in network biology.

Bioinformatics advances·2024
Same author

Comparative transcriptomic and phenotypic analysis of induced pluripotent stem cell hepatocyte-like cells and primary human hepatocytes.

Cell and tissue research·2024
Same journal

Narrow Spectrum Software Testing Addressing Complexity and Trust.

Computer·2026
Same journal

Input Space Coverage Matters.

Computer·2025
Same journal

Using Smart Homes to Detect and Analyze Health Events.

Computer·2025
Same journal

A Trusted Federated System to Share Granular Data Among Disparate Database Resources.

Computer·2024
Same journal

Combinatorial Methods in Security Testing.

Computer·2024
Same journal

Cybertrust in the IoT Age.

Computer·2024
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

1.3K

Computationally Driven Experimental Biology.

T M Murali1

  • 1Virginia Tech.

Computer
|July 1, 2014
PubMed
Summary
This summary is machine-generated.

Complex cellular system data is driving the creation of computational analysis methods. These techniques aim to prioritize and suggest novel experiments for further scientific discovery.

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

21.2K
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

3.9K

Related Experiment Videos

Last Updated: Apr 27, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

1.3K
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

21.2K
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
09:26

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

3.9K

Area of Science:

  • Computational biology
  • Systems biology
  • Experimental design

Background:

  • Experimental data on cellular systems is increasingly complex and diverse.
  • Richness of biological data necessitates advanced analytical approaches.

Purpose of the Study:

  • To highlight the role of computational analysis in experimental biology.
  • To demonstrate how data complexity inspires new experimental techniques.

Main Methods:

  • Review of current computational analysis techniques.
  • Analysis of experimental data trends in cellular systems.

Main Results:

  • Computational methods are being developed to handle complex biological data.
  • These techniques can prioritize and suggest new experiments.

Conclusions:

  • The increasing volume and complexity of experimental data are key drivers for computational method development.
  • Advanced computational tools are essential for prioritizing and guiding future research in cellular systems.