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Related Concept Videos

Protein Networks02:26

Protein 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,...
Protein Networks02:26

Protein 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,...
Genomics02:02

Genomics

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...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Proteomics01:33

Proteomics

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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary 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...

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Updated: May 24, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Bioinformatics and systems biology.

Prahlad T Ram1, John Mendelsohn, Gordon B Mills

  • 1Department of Systems Biology, Institute for Personalized Cancer Therapy, The University of Texas, MD Anderson Cancer Center, Houston, TX 77054, USA. pram@mdanderson.org

Molecular Oncology
|March 2, 2012
PubMed
Summary
This summary is machine-generated.

Personalized cancer therapy uses tumor genetic data to improve treatment outcomes. Converting complex genomic data into actionable insights remains a key bioinformatics challenge for clinical application.

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Last Updated: May 24, 2026

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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Area of Science:

  • Oncology
  • Bioinformatics
  • Systems Biology

Background:

  • Personalized therapeutic options for cancer patients, guided by tumor-specific genetic and molecular aberrations, hold significant promise for improving treatment outcomes.
  • Advances in biotechnology enable comprehensive multi-omic data measurement (DNA, RNA, protein, metabolomics) from single tumor biopsies.
  • This high-throughput data generation is feasible within clinical decision-making timelines.

Purpose of the Study:

  • To address the challenge of converting extensive multi-omic data into clinically actionable information and knowledge.
  • To explore the bioinformatics and systems biology approaches required for personalized cancer therapy.

Main Methods:

  • Measurement of tens of thousands of 'omic' data points across multiple biological levels (DNA, RNA, protein, metabolomics).
  • Analysis of data from single tumor biopsy samples.

Main Results:

  • The study highlights the potential of multi-omic data in cancer therapy.
  • It identifies the conversion of this data into knowledge as a critical challenge.

Conclusions:

  • Translating multi-omic tumor data into actionable knowledge is essential for advancing personalized cancer therapy.
  • Bioinformatics and systems biology are crucial for realizing the potential of precision oncology.