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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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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.
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Related Experiment Video

Updated: Dec 26, 2025

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
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Guidelines for systematic reporting of sequence alignments.

Mauno Vihinen1

  • 1Department of Experimental Medical Science, Lund University, Lund, Sweden.

Biology Methods & Protocols
|March 13, 2020
PubMed
Summary
This summary is machine-generated.

Researchers need clear bioinformatics reporting guidelines for reproducible computational studies. Making sequence alignment data available enhances scientific understanding and verification.

Keywords:
guidelinesreproducibilitysequence alignmentsystematic reporting of results

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Area of Science:

  • Bioinformatics and Computational Biology
  • Genomics and Proteomics

Background:

  • High-throughput technologies generate vast datasets requiring sophisticated bioinformatics analysis.
  • Published research often lacks sufficient detail for computational study replication.
  • Sequence alignment is a fundamental bioinformatics technique with specific reporting needs.

Purpose of the Study:

  • To address the need for standardized reporting of bioinformatics studies.
  • To improve the reproducibility and comprehensibility of computational research.
  • To provide guidelines for reporting sequence alignment results.

Main Methods:

  • Development of guidelines for reporting bioinformatics studies.
  • Compilation of a concise checklist for essential data items.
  • Emphasis on making sequence alignment data publicly available.

Main Results:

  • Guidelines facilitate detailed and systematic description of bioinformatics analyses.
  • Checklists ensure necessary details are provided for study replication.
  • Availability of alignment data aids scientific community evaluation.

Conclusions:

  • Adherence to reporting guidelines enhances the value of scientific publications.
  • Standardized reporting improves the ability to evaluate, understand, and verify research.
  • Making bioinformatics data accessible promotes scientific progress and collaboration.