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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...
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...
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.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 18, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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Genomics software: The view from 10,000 feet.

Michael E Weale1

  • 1Department of Medical and Molecular Genetics, King's College London, Guy's Hospital, London, UK. michael.weale@kcl.ac.uk

Human Genomics
|December 3, 2009
PubMed
Summary
This summary is machine-generated.

Genomics and

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Area of Science:

  • Genomics and bioinformatics
  • Computational biology
  • Data science in life sciences

Background:

  • The rapid advancement of 'omics technologies generates vast datasets.
  • Existing computational analysis software faces challenges in processing this data deluge.
  • There is a growing need for scalable and efficient bioinformatics tools.

Purpose of the Study:

  • To review the current landscape of genomics and 'omics analysis software.
  • To identify key challenges and limitations in existing bioinformatics tools.
  • To highlight emerging trends and potential solutions in the field.

Main Methods:

  • Literature review of recent publications and software releases.
  • Analysis of software capabilities and performance benchmarks.
  • Identification of common bottlenecks in 'omics data processing pipelines.

Main Results:

  • The field of 'omics data analysis is characterized by rapid innovation but also significant software limitations.
  • 'Omics analysis software often struggles to keep pace with the increasing volume and complexity of biological data.
  • Key areas for improvement include algorithm efficiency, scalability, and user-friendliness.

Conclusions:

  • Continuous development of advanced bioinformatics software is crucial for scientific progress.
  • Addressing the software gap in 'omics research requires interdisciplinary collaboration.
  • Future software solutions must prioritize performance, scalability, and integration capabilities.