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Related Concept Videos

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...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
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 Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...

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Related Experiment Video

Updated: Jun 22, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Computational identification of protein-coding sequences by comparative analysis.

Arnaud Fontaine1, Hélène Touzet

  • 1LIFL-UMR CNRS 8022 University Lille 1, INRIA Lille Nord Europe, France. arnaud.fontaine@lifl.fr

International Journal of Data Mining and Bioinformatics
|June 13, 2009
PubMed
Summary

We developed PROTEA, a new computational method for identifying conserved protein-coding sequences in genomes using comparative genomics. PROTEA leverages substitution patterns and reading frame consistency for accurate gene prediction.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Gene prediction is crucial for understanding newly sequenced genomes.
  • Comparative genomics offers a promising approach for gene finding.
  • Existing methods rely on homology search or statistical properties.

Purpose of the Study:

  • To present a novel method for identifying evolutionarily conserved protein-coding sequences.
  • To introduce the PROTEA software for gene prediction.

Main Methods:

  • Utilizing the specific substitution patterns of coding sequences.
  • Ensuring consistency of reading frames for accurate identification.
  • Implementing the method in a software tool named PROTEA.

Main Results:

  • Demonstrated good results through large-scale experimentation.
  • Showcased PROTEA's effectiveness in identifying conserved coding sequences.

Conclusions:

  • PROTEA provides a novel approach to gene prediction.
  • PROTEA serves as a valuable complement to existing gene finding tools.