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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
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...
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Genomic DNA in Eukaryotes00:58

Genomic DNA in Eukaryotes

Eukaryotes have large genomes compared to prokaryotes. To fit their genomes into a cell, eukaryotic DNA is packaged extraordinarily tightly inside the nucleus. To achieve this, DNA is tightly wound around proteins called histones, which are packaged into nucleosomes that are joined by linker DNA and coil into chromatin fibers. Additional fibrous proteins further compact the chromatin, which is recognizable as chromosomes during certain phases of cell division.

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Related Experiment Video

Updated: May 29, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Robust relative compression of genomes with random access.

Sebastian Deorowicz1, Szymon Grabowski

  • 1Institute of Informatics, Silesian University of Technology, 44-100 Gliwice, Poland. sebastian.deorowicz@polsl.pl

Bioinformatics (Oxford, England)
|September 8, 2011
PubMed
Summary

A new LZ77-style compression method significantly improves genomic data storage by achieving over 1000x compression ratios for multiple human genomes, enabling efficient database maintenance.

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Metagenomic Analysis of Silage
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Metagenomic Analysis of Silage

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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

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Related Experiment Videos

Last Updated: May 29, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Area of Science:

  • Bioinformatics
  • Genomics
  • Data Compression

Background:

  • Genomic data storage and transfer face challenges due to rapid DNA sequencing advancements.
  • Efficient compression with random access is crucial for managing large genomic datasets.

Purpose of the Study:

  • To develop an efficient compression scheme for multiple genomes of the same species.
  • To enable fast random access to sequence snippets within compressed genomic data.

Main Methods:

  • Implementation of an LZ77-style compression algorithm tailored for relative genome compression.
  • Differential encoding of multiple genomes to enhance compression ratios.

Main Results:

  • Achieved compression ratios exceeding 400x (fast compression) and 1000x (slow compression) for 69 human genomes.
  • Fast random access to sequence snippets reduced compression ratios to approximately 300x.
  • Demonstrated compression speeds over an order of magnitude faster than existing methods.

Conclusions:

  • The proposed compression scheme offers superior compression ratios and speed for genomic data.
  • Efficient compression and random access are vital for managing the growing volume of sequencing data.
  • This method facilitates the maintenance and transfer of large genomic databases.