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Related Concept Videos

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
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Gene Evolution - Fast or Slow?02:05

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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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

Using progressive methods for global multiple sequence alignment.

David W Mount

    Cold Spring Harbor Protocols
    |February 12, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Global optimal sequence alignment for multiple sequences is challenging. This study introduces three programs using progressive alignment, an approximate method, to address this difficulty in bioinformatics.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics

    Background:

    • Optimal global sequence alignment for multiple sequences (more than two) is computationally complex.
    • Traditional dynamic programming methods are limited to a few short sequences.
    • Approximate methods are essential for large-scale multiple sequence alignment.

    Purpose of the Study:

    • To introduce novel computational tools for multiple sequence alignment.
    • To present programs utilizing progressive alignment methodology.
    • To facilitate the analysis of complex sequence variations.

    Main Methods:

    • Progressive alignment approach for multiple sequence alignment.
    • Development and implementation of three distinct alignment programs.
    • Focus on handling matches, mismatches, and gaps across all sequences.

    Main Results:

    • The introduced programs effectively apply progressive alignment.
    • These tools enable the alignment of larger and more diverse sequence sets.
    • The methodology addresses the challenge of simultaneous variation analysis.

    Conclusions:

    • Progressive alignment offers a viable solution for complex multiple sequence alignment.
    • The presented programs provide valuable tools for bioinformatics research.
    • Efficient multiple sequence alignment is crucial for understanding biological sequences.