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DNA as a Genetic Template

DNA as a Genetic Template

Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...

DNA as a Genetic Template

DNA as a Genetic Template

From DNA to Protein

From DNA to Protein

The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...

The Central Dogma

The Central Dogma

The Central Dogma

The Central Dogma

The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: May 3, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Codon-based encoding for DNA sequence analysis.

Byeong-Soo Jeong¹, A T M Golam Bari¹, Mst Rokeya Reaz¹

¹Department of Computer Engineering, Kyung Hee University, 1-Seocheon-dong, Yongin-si 446-701, Gyeonggi-do, Republic of Korea.

Methods (San Diego, Calif.)

|February 18, 2014

Summary

This summary is machine-generated.

We developed a novel DNA sequence encoding method to accurately measure species similarity. This approach preserves key biological information, outperforming existing methods in similarity analysis.

Keywords:

Codon DNA visulization Encoding DNA sequence Sequence similarity

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Analyzing and Building Nucleic Acid Structures with 3DNA

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Published on: April 26, 2013

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Biological sequence data, including DNA and protein sequences, is growing exponentially.
DNA sequence analysis is crucial for understanding species features, functions, structures, and evolution.
Encoding DNA sequences is a key method for feature extraction, visualization, and similarity analysis.

Purpose of the Study:

To propose a novel and more accurate DNA sequence encoding approach.
To enhance the measurement of similarity and dissimilarity between different species.
To address the need for more elegant encoding methods in DNA sequence analysis.

Main Methods:

Developed a new encoding approach for DNA sequences.
The method preserves physiochemical properties of nucleotides.
The method preserves positional information and codon usage bias.

Main Results:

The proposed encoding approach demonstrated higher accuracy in measuring similarity.
The approach effectively captures essential characteristics of DNA sequences.
Performance studies confirmed the superiority over existing encoding methods.

Conclusions:

The novel encoding method offers improved accuracy for DNA sequence analysis.
This approach provides a more effective tool for comparative genomics and evolutionary studies.
The method's ability to preserve biological information is key to its enhanced performance.