Related Experiment Video
Updated: Aug 9, 2026
07:11
CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Bioinformatics--principles and potential of a new multidisciplinary tool
1National Center for Human Genome Research, National Institutes of Health, Bethesda, MD 20892-6050, USA. benton@extra,nchgr.nih.gov
Trends in Biotechnology
|August 1, 1996
Summary
Bioinformatics utilizes biological data and computational methods to advance fields like genomics and drug design. Robust data infrastructure is crucial for biotechnology, though bioinformatics faces challenges during maturation.
Area of Science:
- Bioinformatics
- Computational Biology
- Biotechnology
Background:
- Explosive growth in biological data necessitates advanced computational techniques.
- Bioinformatics methods are integral to structural biology, genomics, drug design, and molecular evolution.
- A strong biological data infrastructure is vital for maximizing biotechnology advancements.
Purpose of the Study:
- To highlight the essential role of bioinformatics in modern biological research.
- To underscore the importance of computational methods and data infrastructure in biotechnology.
- To identify the challenges faced by the maturing field of bioinformatics.
Main Methods:
- Application of diverse computational techniques to biological data analysis.
- Development of novel algorithms and methodologies.
- Establishment and maintenance of robust biological data infrastructure.
Main Results:
- Bioinformatics has become indispensable for research progress in key biological areas.
- Significant advancements have been made through the integration of computational methods.
- The field of bioinformatics is maturing and encountering new challenges.
Conclusions:
- Bioinformatics is a critical and rapidly evolving field.
- Continued development of computational methods and data infrastructure is essential for future biotechnological innovation.
- Addressing the challenges of maturation will be key to bioinformatics' continued success.
More Related Videos
08:51Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
Published on: September 20, 2024
05:08Application 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
Related Concept Videos
02:02Genomics
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...
02:26Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
02:54Evolutionary Relationships through Genome Comparisons
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...
03:36Genome Annotation and Assembly
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
01:33Proteomics
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
01:29Modern Molecular Taxonomy
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...