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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.5K
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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Karyotyping01:17

Karyotyping

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Overview
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Crossing Over01:34

Crossing Over

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Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Nov 9, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

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

Published on: May 6, 2010

410.3K

Computational methods for chromosome-scale haplotype reconstruction.

Shilpa Garg1

  • 1Department of Biology, University of Copenhagen, Copenhagen, Denmark. shilpa.garg@bio.ku.dk.

Genome Biology
|April 13, 2021
PubMed
Summary
This summary is machine-generated.

Generating chromosome-scale haplotype sequences is crucial for understanding genetic variation in various genomes. Recent advancements in sequencing and computational methods are improving whole-chromosome haplotype reconstruction.

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Last Updated: Nov 9, 2025

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Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Chromosome-scale haplotype sequences are vital for studying genetic variation in diploid, polyploid, and metagenomic samples.
  • Short-read sequencing alone cannot provide whole-chromosome haplotype information, necessitating computational assembly.
  • Challenges in haplotype reconstruction include short fragment lengths and high variability in genomes.

Purpose of the Study:

  • To review recent advancements in sequencing technologies and computational methods for haplotype reconstruction.
  • To discuss the progress and future perspectives in obtaining chromosome-scale haplotype sequences.

Main Methods:

  • Review of long-read sequencing technologies.
  • Review of chromosome-scale sequencing technologies.
  • Review of computational innovations for haplotype assembly and reconstruction.

Main Results:

  • Advancements in long-read and chromosome-scale sequencing are enhancing haplotype reconstruction.
  • Computational innovations are crucial for assembling shorter haplotype fragments into chromosome-scale sequences.

Conclusions:

  • Improved methods are making chromosome-scale haplotype reconstruction more feasible.
  • Future research will likely focus on further refining these technologies and computational approaches.