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 Experiment Videos

Object-oriented programming for the biosciences

W Wiechert1, B Joksch, R Wittig

  • 1Institut für Biotechnologie, Forschungszentrum Jülich, Germany. w.weichert@kfajuelich.de

Computer Applications in the Biosciences : CABIOS
|October 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An energetic profile of Corynebacterium glutamicum underpinned by measured biomass yield on ATP.

Metabolic engineering·2021
Same author

Tailoring the properties of (catalytically)-active inclusion bodies.

Microbial cell factories·2019
Same author

Deletion of Menin in craniofacial osteogenic cells in mice elicits development of mandibular ossifying fibroma.

Oncogene·2017
Same author

Reactions of cloned poplars to air pollution : Ozone-induced increase of stress ethylene and possible antisenescence strategies.

Environmental science and pollution research international·2013
Same author

Reciprocal effects of platinum and lead on the water household of poplar cuttings.

Environmental science and pollution research international·2013
Same author

Light exposure and cell viability in fluorescence microscopy.

Journal of microscopy·2011
Same journal

DCA: an efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment.

Computer applications in the biosciences : CABIOS·1998
Same journal

Two applications to facilitate the viewing of database search result files on the Macintosh.

Computer applications in the biosciences : CABIOS·1998
Same journal

BioWish: a molecular biology command extension to Tcl/Tk.

Computer applications in the biosciences : CABIOS·1998
Same journal

The Sequence Alerting Server--a new WEB server.

Computer applications in the biosciences : CABIOS·1998
Same journal

A software tool for the analysis of mass spectrometric disulfide mapping experiments.

Computer applications in the biosciences : CABIOS·1998
Same journal

SAMBA: hardware accelerator for biological sequence comparison.

Computer applications in the biosciences : CABIOS·1998
See all related articles

Object-oriented programming offers a flexible solution for bioscience software development, enhancing experimental support and data analysis. This approach supports the complex and evolving needs of bioprocess development and metabolic engineering.

Area of Science:

  • Biosciences
  • Computational Biology
  • Software Engineering

Background:

  • Bioscience software must manage complex biological systems and diverse experimental equipment.
  • Rapidly changing experimental conditions necessitate flexible software solutions.

Purpose of the Study:

  • To evaluate the suitability of object-oriented methodology for bioscience software development.
  • To present practical experiences with object-oriented technology in bioprocess development and metabolic engineering.

Main Methods:

  • Application of object-oriented programming principles.
  • Development of software for experimental support, data analysis, interaction, and visualization.
  • Case studies from bioprocess development and metabolic engineering.

Related Experiment Videos

Main Results:

  • Object-oriented methodology provides modularity and supports evolutionary software development.
  • Demonstrated benefits in handling complexity, heterogeneity, and dynamic experimental conditions.
  • Identified challenges and limitations of object-oriented technology in biosciences.

Conclusions:

  • Object-oriented technology is well-suited for developing adaptable and modular bioscience software.
  • The approach facilitates integration with experimental cycles and knowledge acquisition.
  • Future strategies should address identified challenges for enhanced bioscience software solutions.