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Related Concept Videos

Genomics02:02

Genomics

41.7K
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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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...
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Related Experiment Video

Updated: Mar 25, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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A case study for cloud based high throughput analysis of NGS data using the globus genomics system.

Krithika Bhuvaneshwar1, Dinanath Sulakhe2, Robinder Gauba1

  • 1Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC 20007, USA.

Computational and Structural Biotechnology Journal
|March 1, 2016
PubMed
Summary

Next generation sequencing (NGS) generates massive data. Globus Genomics offers a cloud-based solution for efficient NGS data management and analysis, simplifying complex workflows.

Keywords:
Cloud computingGalaxyNext generation sequencingTranslational research

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Next generation sequencing (NGS) generates vast datasets.
  • Managing and analyzing NGS data requires significant computational resources and expertise.
  • Existing bioinformatics tools can be challenging to scale for large-scale translational research.

Purpose of the Study:

  • To present a practical solution for managing and analyzing terabyte-scale NGS data.
  • To introduce Globus Genomics as a service simplifying NGS data handling and analysis.
  • To address the end-to-end NGS analysis requirements in translational genomics.

Main Methods:

  • Implementation of Globus Genomics, an enhanced Galaxy workflow system as a service.
  • Leveraging Amazon's cloud computing infrastructure for elastic scaling of compute resources.
  • Utilizing parallel processing capabilities for running multiple workflows concurrently.

Main Results:

  • Simplified terabyte-scale data handling for NGS.
  • Provided advanced tools for efficient NGS data analysis.
  • Enabled reliable and quick data processing and transfer.

Conclusions:

  • Globus Genomics provides a scalable and accessible solution for NGS data challenges.
  • The system facilitates efficient translational genomics research by meeting scale-out analysis needs.
  • Cloud-based services like Globus Genomics are crucial for advancing genomic data analysis.