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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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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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Updated: Dec 17, 2025

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NASQAR: a web-based platform for high-throughput sequencing data analysis and visualization.

Ayman Yousif1, Nizar Drou1, Jillian Rowe1

  • 1NYU Abu Dhabi Center for Genomics & Systems Biology, Division of Biological Sciences, Abu Dhabi, United Arab Emirates.

BMC Bioinformatics
|July 1, 2020
PubMed
Summary

NASQAR (Nucleic Acid SeQuence Analysis Resource) is a web platform simplifying complex sequence data analysis for researchers. It provides interactive tools for transcriptomics, metagenomics, and RNA-seq analysis, lowering computational barriers.

Keywords:
Exploratory data analysisGraphical user interfaceInteractive visualizationTranscriptomics

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput sequencing generates vast amounts of diverse data.
  • Analyzing this sequence data requires advanced computational skills.
  • A need exists for accessible tools for sequence data analysis and visualization.

Purpose of the Study:

  • To develop a dynamic web-based platform to address the computational barrier in sequence data analysis.
  • To provide researchers with intuitive tools for interactive data exploration and visualization.
  • To support various applications including transcriptomics and metagenomics.

Main Methods:

  • Developed NASQAR (Nucleic Acid SeQuence Analysis Resource), a web platform.
  • Integrated custom and public open-source R packages for analysis.
  • Made the platform publicly accessible via a website and Docker image.

Main Results:

  • NASQAR provides a collection of interactive web applications for data analysis.
  • The platform offers tools for Transcriptome Data Preprocessing, RNA-seq Analysis (including Single-cell RNA-seq), Metagenomics, and Gene Enrichment.
  • Open-source code is available on GitHub, and the system is accessible as a Docker image.

Conclusions:

  • NASQAR empowers non-programming experts to analyze and visualize transcriptomics data.
  • The platform offers a versatile and intuitive toolbox for efficient data exploration.
  • It supports a range of popular bioinformatics applications, enhancing research accessibility.