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Genomics02:02

Genomics

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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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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.
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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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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.
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Updated: Dec 29, 2025

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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Organizing genome engineering for the gigabase scale.

Bryan A Bartley1, Jacob Beal2, Jonathan R Karr3

  • 1Raytheon BBN Technologies, Cambridge, MA, 02138, USA.

Nature Communications
|February 6, 2020
PubMed
Summary
This summary is machine-generated.

Genome-scale engineering advances DNA synthesis for megabase genomes. Gigabase genome engineering requires better workflow integration, data management, research, and collaboration infrastructure to overcome current challenges.

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Area of Science:

  • Synthetic biology
  • Genomics
  • Bioengineering

Background:

  • Recent advances in DNA synthesis enable megabase genome manipulation.
  • Genome-scale engineering offers significant potential across science, industry, and medicine.
  • Coordinating large-scale genome engineering projects presents substantial workflow and team integration challenges.

Purpose of the Study:

  • To address the challenges in coordinating gigabase genome engineering.
  • To propose a framework for advancing large-scale genome engineering.
  • To identify key areas for development in genome-scale engineering.

Main Methods:

  • Reviewing current practices and limitations in genome-scale engineering.
  • Proposing extensions to existing data and workflow representations.
  • Identifying needs for new technologies in data curation and quality control.
  • Highlighting the necessity for fundamental research in genome-scale modeling and design.
  • Recommending the development of legal and contractual frameworks for collaboration.

Main Results:

  • A multi-faceted approach is required to enable gigabase genome engineering.
  • Standardized representations for designs, assembly plans, samples, data, and workflows are crucial.
  • Advanced data curation and quality control technologies are needed.
  • Fundamental research in genome-scale modeling and design is essential.
  • New legal and contractual infrastructure is necessary to facilitate large-scale collaborative efforts.

Conclusions:

  • Overcoming challenges in gigabase genome engineering requires a holistic strategy.
  • Integrating technological, research, and infrastructural advancements is key.
  • The proposed framework provides a roadmap for future large-scale genome engineering endeavors.