Jove
Visualize
Contact Us

Related Concept Videos

Attribution Theory00:56

Attribution Theory

13.8K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.8K
Case Studies01:22

Case Studies

13.4K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
13.4K
Threats to Biodiversity01:50

Threats to Biodiversity

26.7K
There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
26.7K
Sustainable Development01:43

Sustainable Development

14.8K
As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
14.8K
Factorial Design02:01

Factorial Design

13.7K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.7K
Osmoregulation in Fishes02:32

Osmoregulation in Fishes

53.0K
When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?
53.0K

You might also read

Related Articles

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

Sort by
Same author

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026
Same author

TikTok is a valuable data source for tracking the opioid crisis.

NPJ digital medicine·2026
Same author

Drug-Target Interaction Prediction with PIGLET.

bioRxiv : the preprint server for biology·2026
Same author

GATSBI: Improving context-aware protein embeddings through biologically motivated data splits.

bioRxiv : the preprint server for biology·2026
Same author

Biological data governance in an age of AI.

Science (New York, N.Y.)·2026
Same author

The Human Omnibus of Targetable Pockets.

Journal of cheminformatics·2025
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 Video

Updated: Jan 27, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.5K

Challenges for biomedical informatics and pharmacogenomics.

Russ B Altman1, Teri E Klein

  • 1Stanford Medical Informatics, Stanford, California 94305-5479, USA. russ.altman@stanford.edu

Annual Review of Pharmacology and Toxicology
|January 25, 2002
PubMed
Summary

Pharmacogenomics integrates complex biological data, presenting significant informatics challenges. Addressing these is crucial for advancing personalized medicine and future genomic research.

More Related Videos

Graphene Coatings for Biomedical Implants
13:21

Graphene Coatings for Biomedical Implants

Published on: March 1, 2013

21.7K
Generation of Alginate Microspheres for Biomedical Applications
10:33

Generation of Alginate Microspheres for Biomedical Applications

Published on: August 12, 2012

21.8K

Related Experiment Videos

Last Updated: Jan 27, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

7.5K
Graphene Coatings for Biomedical Implants
13:21

Graphene Coatings for Biomedical Implants

Published on: March 1, 2013

21.7K
Generation of Alginate Microspheres for Biomedical Applications
10:33

Generation of Alginate Microspheres for Biomedical Applications

Published on: August 12, 2012

21.8K

Area of Science:

  • Biomedical Informatics
  • Genomics
  • Pharmacogenomics

Background:

  • Pharmacogenomics necessitates integrating diverse data types: genomic, molecular, cellular, and clinical.
  • This integration poses substantial challenges for biomedical informatics infrastructure and scientific tools.

Purpose of the Study:

  • To review current informatics applications in pharmacogenomics.
  • To highlight key infrastructural and scientific challenges in the field.
  • To position these challenges within the broader context of the postgenomic era.

Main Methods:

  • Review of existing literature and informatics tools in pharmacogenomics.
  • Analysis of data integration, data modeling, and information extraction requirements.
  • Identification of scientific challenges in areas like gene expression and comparative genomics.

Main Results:

  • Informatics plays a vital role in pharmacogenomics, requiring robust data models and databases.
  • Key challenges include data integration, natural language processing for text extraction, and data security.
  • Development of tools for gene expression, 3D structural, and comparative genomic analyses is ongoing.

Conclusions:

  • The informatics challenges in pharmacogenomics are representative of those in the broader postgenomic era.
  • Effective biomedical informatics solutions are essential for realizing the full potential of pharmacogenomics.
  • Continued development in data management and analytical tools is critical for future genomic research.