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

Conversion of Units01:36

Conversion of Units

22.9K
Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...
22.9K
Export of Mitochondrial and Chloroplast Genes02:19

Export of Mitochondrial and Chloroplast Genes

3.7K
A eukaryotic cell can have up to three different types of genetic systems: nuclear, mitochondrial, and chloroplast. During evolution, organelles have exported many genes to the nucleus; this transfer is still ongoing in some plant species. Approximately 18% of the Arabidopsis thaliana nuclear genome is thought to be derived from the chloroplast’s cyanobacterial ancestor, and around 75% of the yeast genome derived from the mitochondria’s bacterial ancestor. This export has occurred...
3.7K

You might also read

Related Articles

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

Sort by
Same author

LORA: a polymorphic multi-sample long read assembly pipeline.

NAR genomics and bioinformatics·2026
Same author

Kaminari: a frugal colored index for approximate <i>k</i>-mer queries.

Bioinformatics advances·2026
Same author

Life Identification Numbers: A strain nomenclature approach to aid epidemiological surveillance of bacterial pathogens.

PLoS biology·2026
Same author

Intrinsic differences in hamster and mouse macrophage biology correlate with susceptibility to Leishmania donovani infection.

Journal of leukocyte biology·2026
Same author

Genomic instability and mono-parental expression mitigate genomic shock in a cross-subgenus <i>Leishmania</i> hybrid.

NAR molecular medicine·2026
Same author

Segmented filamentous bacteria are worldwide human gut commensals.

Nature communications·2026
Same journal

An epigenetic clock for chronological age estimation in East Asian populations.

NAR genomics and bioinformatics·2026
Same journal

The role of ATF4 in neurons under mitochondrial stress.

NAR genomics and bioinformatics·2026
Same journal

Distinct repeat architecture landscapes in the proteomes of protozoan parasites.

NAR genomics and bioinformatics·2026
Same journal

Long non-coding RNA triplex-dependent regulation of melanoma gene networks.

NAR genomics and bioinformatics·2026
Same journal

Challenges in predicting chromatin accessibility differences between species.

NAR genomics and bioinformatics·2026
Same journal

Power-law penalties correct distance bias in single-cell co-accessibility and deep-learning chromatin interaction predictions.

NAR genomics and bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jul 18, 2025

FIBS-enabled Noninvasive Metabolic Profiling
09:16

FIBS-enabled Noninvasive Metabolic Profiling

Published on: February 3, 2014

9.9K

BioConvert: a comprehensive format converter for life sciences.

Hugo Caro1, Sulyvan Dollin2, Anne Biton2

  • 1Institut Pasteur, Université Paris Cité, Plate-forme Technologique Biomics, F-75015 Paris, France.

NAR Genomics and Bioinformatics
|August 23, 2023
PubMed
Summary
This summary is machine-generated.

BioConvert simplifies bioinformatics data conversion by aggregating tools into a single framework. This collaborative project supports 50 formats, enhancing reproducibility and streamlining analysis for researchers.

More Related Videos

Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia
07:32

Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia

Published on: February 9, 2020

7.8K
Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms
07:09

Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms

Published on: December 1, 2014

13.6K

Related Experiment Videos

Last Updated: Jul 18, 2025

FIBS-enabled Noninvasive Metabolic Profiling
09:16

FIBS-enabled Noninvasive Metabolic Profiling

Published on: February 3, 2014

9.9K
Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia
07:32

Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia

Published on: February 9, 2020

7.8K
Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms
07:09

Use of a High-throughput In Vitro Microfluidic System to Develop Oral Multi-species Biofilms

Published on: December 1, 2014

13.6K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Life Sciences Data Management

Background:

  • Bioinformatics utilizes numerous, often redundant, data formats, complicating data analysis.
  • Converting between these formats is technically challenging, time-consuming, and difficult to reproduce.
  • Existing tools for format conversion are numerous and require users to learn multiple interfaces.

Purpose of the Study:

  • To develop a unified framework, BioConvert, for seamless life science data format conversion.
  • To address the challenges of data format heterogeneity and reproducibility in bioinformatics.
  • To provide a common interface for accessing diverse data conversion functionalities.

Main Methods:

  • BioConvert aggregates existing bioinformatics software and incorporates new code where necessary.
  • A common, user-friendly interface is provided to streamline the conversion process.
  • The framework supports approximately 50 data formats across various bioinformatics domains.

Main Results:

  • BioConvert currently supports around 100 direct conversions for alignment, sequencing, phylogeny, and variant calling data.
  • The tool offers a streamlined user experience compared to managing multiple individual conversion utilities.
  • A web server with an online interface has been developed for community accessibility.

Conclusions:

  • BioConvert effectively simplifies and standardizes bioinformatics data format conversion.
  • The project enhances the reproducibility of data analysis workflows.
  • BioConvert serves as a valuable resource for both end-users and developers in the bioinformatics community.