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Overview of Transposition and Recombination02:13

Overview of Transposition and Recombination

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Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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Algorithmic Advances and Applications from RECOMB 2017

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    |September 29, 2017
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    Summary
    This summary is machine-generated.

    This summary covers 32 computational molecular biology papers from a 2017 conference. Research spans cancer genomics, metagenomics, and single-cell data analysis, highlighting key advancements.

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    Area of Science:

    • Computational molecular biology
    • Genomics
    • Bioinformatics

    Background:

    • The 2017 Research in Computational Molecular Biology (RECOMB) conference featured cutting-edge research.
    • A selection of 32 papers from the regular track were summarized.
    • These summaries offer insights into the state of the field.

    Purpose of the Study:

    • To provide accessible summaries of selected RECOMB 2017 papers.
    • To categorize research into key areas of computational molecular biology.
    • To highlight advancements in various sub-disciplines.

    Main Methods:

    • Summaries were invited from authors of accepted RECOMB 2017 papers.
    • Papers were categorized by the editors into predefined research areas.
    • The summaries cover a range of computational biology topics.

    Main Results:

    • 32 papers were summarized, representing a significant portion of the conference's regular track.
    • Research was categorized into 10 distinct areas: cancer genomics, genetics, mass spectrometry, metagenomics, network analysis, phylogenetics, sequence annotation, sequence informatics, single-cell data analysis, and structural biology.
    • The summaries provide a snapshot of current research trends.

    Conclusions:

    • The collection offers a valuable overview of computational molecular biology research in 2017.
    • The categorized summaries facilitate understanding across diverse sub-fields.
    • This work serves as a resource for researchers and students in computational biology.