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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,...
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...
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Genome Annotation and Assembly03:36

Genome 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.

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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

Standards, databases, and modeling tools in systems biology.

Michael Kohl1

  • 1Medizinisches Proteom-Center, Ruhr-Universität Bochum, Bochum, Germany.

Methods in Molecular Biology (Clifton, N.J.)
|November 11, 2010
PubMed
Summary
This summary is machine-generated.

Integrating multi-omics data (Genomics, Transcriptomics, Proteomics, Metabolomics) requires standardized formats and public repositories for biological systems modeling. This facilitates data sharing and rapid model development using available software tools.

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Area of Science:

  • Systems biology
  • Computational biology
  • Bioinformatics

Background:

  • Biological systems modeling integrates multi-omics data (Genomics, Transcriptomics, Proteomics, Metabolomics).
  • Sharing large, heterogeneous, and distributed experimental data is challenging.
  • Standardization and public repositories are crucial for effective data and model sharing.

Purpose of the Study:

  • To present common standard formats for biological model encoding.
  • To introduce major public databases for biological modeling data.
  • To discuss features of available modeling software and propose applications.

Main Methods:

  • Review of standard data formats for biological models.
  • Survey of prominent public biological databases.
  • Analysis of features in current biological modeling software packages.

Main Results:

  • Identified common standard formats for encoding biological models.
  • Cataloged major public databases relevant to biological modeling.
  • Discussed key features of existing modeling software.

Conclusions:

  • Standardized formats and public repositories are essential for integrating multi-omics data in systems biology.
  • Accessible software tools accelerate biological model development and application.