Overview

Welcome to our platform! Here, we offer a diverse range of web-based Bioinformatics analysis and visualization applications. Whether you prefer running apps online or downloading them to run on your local machine, we provide both options.

The field of high-throughput sequencing is continually evolving, resulting in a rapid increase in both the quantity and diversity of sequence-based data. This growth necessitates the development of new software libraries and tools for effective data analysis and visualization. However, utilizing these tools often requires computational skills beyond the expertise of the average researcher.

To address this challenge, we introduce NASQAR, a dynamic web-based platform designed to lower the computational barrier. NASQAR features an intuitive interface that enables users to easily and efficiently explore their data interactively. Our platform integrates popular tools tailored for various applications, including Transcriptome Data Preprocessing, RNAseq Analysis (including Single-cell RNAseq), Metagenomics, and Gene Enrichment. Explore your data seamlessly and unlock insights with NASQAR.

Citation

When incorporating any of the apps from our portal into a publication, kindly ensure to include the proper citation for NASQAR, as detailed below:

Additionally, please remember to include the appropriate citation for the open-source apps hosted on our platform, which are prominently displayed on the individual app pages or GitHub repositories.

NASQAR2 Updates:

R version: 4.2.3

GeneCountMerger:

• Added Wormbase ID to SYMBOL mapping.

DEseq2shiny:

• Volcano plot
• Venn Diagram
• Input data now takes gene.id and gene.name together with Gene count data

ClusterProfShinyORA:

• Selective selection of interested pathways for plotting

These updates bring exciting new features and improvements to NASAQ2, enhancing its capabilities and usability.

Data Privacy

Although data uploaded for analysis on the online instance of NASQAR (at http://nasqar.abudhabi.nyu.edu/ (opens in a new tab)) is by default discarded after a users session ends, this does not guarantee total data privacy. In cases where data privacy is a concern (e.g. patient or pilot data), it is recommended that NASQAR is deployed on a local intranet for private users, or on a personal computer. A Docker image of NASQAR is publicly available through DockerHub and can be used to deploy the application seamlessly on any system with Docker installed, whether a local computer, a public internet server, or a private server (e.g. research institutions intranet).