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Evolutionary Relationships through Genome Comparisons

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...

Genome Annotation and Assembly

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.

Genomics

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...

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...

Comparing Copy Number Variations and SNPs

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

Genetic Variation

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...

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Related Experiment Video

Updated: Sep 24, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Computational Approaches for Understanding Sequence Variation Effects on the 3D Genome Architecture.

Pavel Avdeyev¹, Jian Zhou¹

¹Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA;

Annual Review of Biomedical Data Science

|May 10, 2022

Summary

Understanding how genomic sequence variations impact 3D genome architecture is key for trait and disease research. Computational methods, especially deep learning, are advancing the study of these sequence-genome interactions.

Keywords:

chromatin organization machine learning sequence variations sequence-based models

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Last Updated: Sep 24, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

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3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells

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Area of Science:

Genomics
Computational Biology
Bioinformatics

Background:

Genomic sequence and its variations influence 3D genome architecture, affecting gene function and disease.
Advanced techniques now measure 3D genome organization across scales, enabling deeper insights.
Computational methods are crucial for analyzing sequence-based effects on genome structure.

Purpose of the Study:

To review computational approaches for detecting and modeling sequence variation effects on 3D genome architecture.
To highlight opportunities presented by deep learning in studying sequence-genome interplay.

Main Methods:

Focus on computational methods, including deep learning sequence models.
Analysis of techniques for measuring 3D genome architecture.
Review of approaches for detecting and modeling sequence variation impacts.

Main Results:

Computational methods are essential tools for understanding sequence-driven 3D genome organization.
Deep learning models offer new avenues for exploring sequence variation and genome architecture.
The interplay between genomic sequence and 3D structure is increasingly decipherable.

Conclusions:

Computational approaches are vital for decoding the relationship between genomic sequence, variations, and 3D architecture.
Future research can leverage these methods to understand trait and disease genetics.
Deep learning holds significant promise for advancing this field.