Related Experiment Video
Updated: Feb 2, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
BioJupies: Automated Generation of Interactive Notebooks for RNA-Seq Data Analysis in the Cloud
Denis Torre1, Alexander Lachmann1, Avi Ma'ayan1
1Department of Pharmacological Sciences, BD2K-LINCS Data Coordination and Integration Center (DCIC), Mount Sinai Center for Bioinformatics, Knowledge Management Center (KMC) for Illuminating the Druggable Genome (IDG), Team Nitrogen of the NIH Data Commons Pilot Project Consortium (DCPPC), Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
Abstract:
BioJupies is a web application that enables the automated creation, storage, and deployment of Jupyter Notebooks containing RNA-seq data analyses. Through an intuitive interface, novice users can rapidly generate tailored reports to analyze and visualize their own raw sequencing files, gene expression tables, or fetch data from >9,000 published studies containing >300,000 preprocessed RNA-seq samples. Generated notebooks have the executable code of the entire pipeline, rich narrative text, interactive data visualizations, differential expression, and enrichment analyses. The notebooks are permanently stored in the cloud and made available online through a persistent URL. The notebooks are downloadable, customizable, and can run within a Docker container. By providing an intuitive user interface for notebook generation for RNA-seq data analysis, starting from the raw reads all the way to a complete interactive and reproducible report, BioJupies is a useful resource for experimental and computational biologists. BioJupies is freely available as a web-based application from http://biojupies.cloud.
Related Concept Videos
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Analysis of Population Pharmacokinetic Data
Overview of Microsoft Excel as a Data Analysis Tool
Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Statistical Software for Data Analysis and Clinical Trials
piRNA - Piwi-interacting RNAs

