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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...
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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...
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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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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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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 Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: Jul 5, 2026

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

Computer-assisted reading of DNA sequences.

Huong Le1, Marcus Hinchcliffe, Bing Yu

  • 1Department of Molecular and Clinical Genetics, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia.

Methods in Molecular Medicine
|May 6, 2008
PubMed
Summary
This summary is machine-generated.

DNA sequencing is vital for medical diagnostics and research, but manual trace checking creates lab bottlenecks. Applied Biosystems SeqScape software (version 2.5) offers sophisticated tools for faster DNA variant identification and quality assessment.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Medical Diagnostics

Background:

  • DNA sequencing is integral to medical diagnostics and research, driven by technological advancements and cost reductions.
  • Increased demand for DNA sequencing has led to laboratory workload challenges, particularly in visually inspecting sequencing profiles.
  • Existing informatics tools for DNA sequence trace interpretation are insufficient, necessitating advanced software solutions.

Purpose of the Study:

  • To describe the Applied Biosystems SeqScape software program (version 2.5).
  • To evaluate how SeqScape assists in interpreting DNA sequencing data within a diagnostic laboratory setting.
  • To highlight the need for sophisticated software in identifying DNA variants and assessing sequence quality.

Main Methods:

  • The study focuses on the application and features of Applied Biosystems SeqScape software (version 2.5).
  • The methodology involves utilizing SeqScape for the interpretation of DNA sequencing traces.
  • The software's role in identifying known and unknown DNA variants and assessing sequence quality is examined.

Main Results:

  • SeqScape software facilitates quicker identification of DNA variants, both known and unknown.
  • The program provides an objective assessment of the quality of generated DNA sequences.
  • SeqScape has demonstrably assisted in streamlining DNA sequencing interpretation in a clinical diagnostic laboratory.

Conclusions:

  • Sophisticated software, such as SeqScape, is essential for efficient DNA sequencing interpretation in diagnostic laboratories.
  • SeqScape improves the speed and objectivity of variant identification and quality assessment.
  • The adoption of advanced bioinformatics tools is crucial for managing the increasing demands of DNA sequencing in healthcare.