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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...
Genome Annotation and Assembly03:36

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.
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
Sanger Sequencing01:57

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: Jun 12, 2026

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
12:33

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Comparative assessment of methods for aligning multiple genome sequences.

Xiaoyu Chen1, Martin Tompa

  • 1Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.

Nature Biotechnology
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

Assessing whole-genome multiple sequence alignments reveals significant challenges. Pecan alignment demonstrates superior accuracy and comparable coverage across diverse species, highlighting its effectiveness in this complex computational task.

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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

Related Experiment Videos

Last Updated: Jun 12, 2026

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
12:33

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

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

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Multiple sequence alignment (MSA) is a computationally intensive task crucial for comparative genomics.
  • Assessing the quality and comparing different whole-genome alignment tools is essential for reliable downstream analyses.
  • The ENCODE project provides large-scale datasets for evaluating alignment methodologies.

Purpose of the Study:

  • To assess and compare four whole-genome multiple sequence alignments generated by the ENCODE project.
  • To evaluate the agreement, coverage, and accuracy of these alignments across 28 vertebrate species.
  • To identify the most effective alignment tool for whole-genome comparisons.

Main Methods:

  • Analysis of four ENCODE whole-genome alignments, each comprising 28 vertebrate species and 554 Mbp of sequence.
  • Quantitative measurement of inter-alignment agreement, coverage, and accuracy.
  • Comparative assessment of alignment performance across different species and genomic regions.

Main Results:

  • A significant lack of agreement was observed among the tested alignments, even for closely related species like the mouse.
  • Pecan alignment consistently achieved the highest or near-highest accuracy across all species and genomic locations.
  • Pecan alignment provided coverage comparable to or exceeding other methods in placental mammals.

Conclusions:

  • Constructing accurate whole-genome multiple sequence alignments remains a substantial computational challenge.
  • Noncoding regions and distantly related species present particular difficulties for accurate alignment.
  • Pecan emerges as a highly accurate and effective tool for whole-genome multiple sequence alignment.