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Related Concept Videos

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...
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Genome Annotation and Assembly03:36

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.
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.

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

The case for cloud computing in genome informatics.

Lincoln D Stein1

  • 1Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada. lincoln.stein@gmail.com

Genome Biology
|May 6, 2010
PubMed
Summary
This summary is machine-generated.

The cost of DNA sequencing is decreasing rapidly. Genome informatics may soon move to cloud computing due to these advancements.

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • DNA sequencing costs are declining faster than data storage and computational power.
  • This trend presents new opportunities for managing and analyzing large genomic datasets.

Purpose of the Study:

  • To explore the feasibility and implications of migrating genome informatics to cloud computing platforms.
  • To assess the potential benefits of cloud-based solutions for genomic data analysis.

Main Methods:

  • Comparative analysis of sequencing costs versus data storage and computation expenses.
  • Review of current cloud computing capabilities for handling large-scale biological data.
  • Discussion of potential architectural shifts in genome informatics.

Main Results:

  • The decreasing cost of DNA sequencing makes cloud migration economically viable.
  • Cloud platforms offer scalable solutions for the growing volume of genomic data.
  • Potential for enhanced accessibility and collaborative research through cloud infrastructure.

Conclusions:

  • The current economic and technological landscape favors the migration of genome informatics to the cloud.
  • Cloud computing can address the challenges of storing, processing, and analyzing vast genomic datasets.
  • This shift could accelerate genomic research and its applications.