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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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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.
Mismatch Repair01:20

Mismatch Repair

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Overview
Proofreading01:31

Proofreading

Synthesis of new DNA molecules is carried out by the enzyme DNA polymerase, which adds nucleotides on the daughter strand complementary to the template DNA strand. DNA polymerase has a higher affinity to add the correct base and ensures fidelity during DNA replication. Furthermore,  it exhibits proofreading activity during replication, using an exonuclease domain that cuts off incorrect nucleotides from the nascent DNA strand.
Errors During Replication are Corrected by the DNA Polymerase Enzyme
Proofreading01:43

Proofreading

Synthesis of new DNA molecules starts when DNA polymerase links nucleotides together in a sequence that is complementary to the template DNA strand. DNA polymerase has a higher affinity for the correct base to ensure fidelity in DNA replication. The DNA polymerase furthermore proofreads during replication, using an exonuclease domain that cuts off incorrect nucleotides from the nascent DNA strand.Errors during Replication Are Corrected by the DNA Polymerase EnzymeGenomic DNA is synthesized in...

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Updated: Jun 4, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

Using gaps and gap penalties to optimize pairwise sequence alignments.

David W Mount

    CSH Protocols
    |March 2, 2011
    PubMed
    Summary
    This summary is machine-generated.

    Including gaps and gap penalties is essential for optimizing DNA and protein sequence alignments. These methods improve accuracy by accounting for insertions and deletions in sequence variations.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics

    Background:

    • Sequence alignment is crucial for understanding biological relationships.
    • Traditional alignment methods often struggle with insertions and deletions.
    • Accurate scoring of matches and mismatches is vital for protein sequence analysis.

    Purpose of the Study:

    • To explain the necessity of incorporating gaps in sequence alignments.
    • To discuss the role of gap penalties in optimizing alignment accuracy.
    • To provide methods for improving pairwise sequence alignment using gaps.

    Main Methods:

    • Utilizing gap penalties to penalize insertions and deletions.
    • Applying scoring systems for matches and mismatches in DNA and protein sequences.
    • Discussing mathematical approaches to achieve optimal global and local alignments.

    Main Results:

    • Gaps are necessary for achieving the best possible sequence alignments.
    • Gap penalties help account for sequence variations like insertions and deletions.
    • Optimized alignments are mathematically challenging but achievable with proper gap handling.

    Conclusions:

    • Gaps and gap penalties are fundamental to accurate pairwise sequence alignment.
    • Effective use of these tools enhances the analysis of DNA and protein sequences.
    • This approach is key to understanding evolutionary relationships and protein function.