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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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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

Using the NCBI Map Viewer to browse genomic sequence data.

Tyra G Wolfsberg

    Current Protocols in Bioinformatics
    |April 23, 2008
    PubMed
    Summary
    This summary is machine-generated.

    Explore the NCBI Map Viewer for genome analysis. Learn text searches, navigation, and sequence analysis tools like BLAST for human genome queries and gene family identification.

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    Last Updated: Jul 5, 2026

    An Integrated Approach for Microprotein Identification and Sequence Analysis
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    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
    09:37

    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

    Published on: August 15, 2019

    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • The National Center for Biotechnology Information (NCBI) provides essential tools for biological data analysis.
    • Effective navigation and querying of large genomic datasets are crucial for research.
    • Understanding gene context and family relationships aids in biological discovery.

    Purpose of the Study:

    • To introduce users to the NCBI Map Viewer for exploring genome annotations.
    • To demonstrate various sequence analysis tools available through the Map Viewer.
    • To provide practical examples of genome querying using specific protocols.

    Main Methods:

    • Utilizing the NCBI Map Viewer for text-based searches of genome annotations.
    • Navigating and manipulating genomic views, including zooming and displaying/hiding information.
    • Employing linked NCBI sequence analysis tools for specific queries.

    Main Results:

    • Successful retrieval of genomic context for genes.
    • Demonstration of chromosome navigation and interactive map adjustments.
    • Interpretation of BLAST search results against the human genome.
    • Identification of genes within specific genomic regions (between STS markers).
    • Discovery of all annotated members of a given gene family.

    Conclusions:

    • The NCBI Map Viewer is a versatile tool for exploring genomic data.
    • Integrated sequence analysis tools enhance the utility of the Map Viewer for complex queries.
    • The described protocols offer practical methods for gene and genome analysis.