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Related Concept Videos

Genomics02:02

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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...
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Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
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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.
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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Mining the draft human genome.

E Birney1, A Bateman, M E Clamp

  • 1The European Bioinformatics Institute, Hinxton, Cambridge, UK. birney@ebi.ac.uk

Nature
|March 10, 2001
PubMed
Summary
This summary is machine-generated.

The human genome sequence presents challenges for gene identification. Current methods struggle with the complexity of larger genomes, especially in vertebrates.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The availability of the draft human genome sequence has increased interest in its application.
  • There is an overestimation of the ease with which new genome sequences can be translated into gene lists.
  • Vertebrate genomes, in particular, pose significant analytical challenges due to their size and complexity.

Purpose of the Study:

  • To highlight the challenges in analyzing vertebrate genomes.
  • To assess the limitations of current gene prediction methodologies.
  • To emphasize the need for improved understanding and tools for genome analysis.

Main Methods:

  • Review of current gene prediction methods.
  • Analysis of the complexity associated with larger genome datasets.
  • Discussion of the scale of vertebrate genome analysis.

Main Results:

  • Gene prediction from newly available genome sequences is more complex than anticipated.
  • Existing gene prediction tools have limitations when dealing with complex genomes.
  • The analysis of vertebrate genomes is a significant computational and biological challenge.

Conclusions:

  • A greater appreciation of the scale and complexity of vertebrate genome analysis is required.
  • Current gene prediction methods are insufficient for comprehensive analysis of complex genomes.
  • Further advancements in bioinformatics and understanding of genomic structures are necessary.