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

1.2K
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...
1.2K

You might also read

Related Articles

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

Sort by
Same author

bio.tools: an expanded web service for research software in the life sciences.

Nucleic acids research·2026
Same author

Foldify: Web Application for Protein Structure Prediction.

Journal of chemical information and modeling·2026
Same author

PROPTIMUS LIVE: local constrained α-carbon optimization of proteins.

Nucleic acids research·2026
Same author

PDBe-SIFTS: an open-source tool for Structure Integration with Function, Taxonomy, and Sequences, featuring improved alignment, scoring scheme, and accelerated search.

bioRxiv : the preprint server for biology·2026
Same author

The NMR Exchange Format (NEF): Specification and Applications.

bioRxiv : the preprint server for biology·2026
Same author

Atomic Charge Calculator III: a modern platform for calculating partial atomic charges.

Nucleic acids research·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same journal

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Dec 5, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.2K

BinaryCIF and CIFTools-Lightweight, efficient and extensible macromolecular data management.

David Sehnal1,2,3, Sebastian Bittrich4, Sameer Velankar3

  • 1CEITEC, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Plos Computational Biology
|October 19, 2020
PubMed
Summary
This summary is machine-generated.

New BinaryCIF format reduces 3D macromolecular structural data file sizes by over 50%. This compression, alongside CIFTools software, enhances data archiving, analysis, and visualization for FAIR data principles.

More Related Videos

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

3.6K
Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

1.8K

Related Experiment Videos

Last Updated: Dec 5, 2025

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

7.2K
Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
04:58

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

3.6K
Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

1.8K

Area of Science:

  • Structural Biology
  • Bioinformatics
  • Data Science

Background:

  • 3D macromolecular structural data is rapidly increasing due to advances in experimental and computational methods.
  • Efficient data handling is crucial for interoperability and reusability, adhering to FAIR Principles.
  • Existing data formats face challenges with growing data size and complexity.

Purpose of the Study:

  • To address the challenges of large and complex 3D macromolecular structural data.
  • To introduce a new data format and software tools for efficient data management.
  • To improve the archiving, analysis, and visualization of structural data.

Main Methods:

  • Development of BinaryCIF, a compressed serialization of Crystallographic Information File (CIF) format.
  • Implementation of CIFTools, libraries in Java and TypeScript for handling CIF and BinaryCIF files.
  • Evaluation of file size reduction compared to standard CIF and gzip-compressed CIF files.

Main Results:

  • BinaryCIF reduces file sizes by over two times compared to gzip-compressed CIF files.
  • For large structures, BinaryCIF achieves compression factors of ten versus CIF and four versus gzipped CIF.
  • CIFTools provides efficient and extensible handling of both CIF and BinaryCIF formats.

Conclusions:

  • BinaryCIF and CIFTools offer a lightweight and efficient solution for managing 3D macromolecular structural data.
  • These advancements facilitate better data interoperability and reusability in structural biology.
  • The new format and tools support the growing needs of structural data archiving and analysis.