BioinformaticsBioinformaticsPeer-reviewed journal article
SoS Notebook: An Interactive Multi-Language Data Analysis Environment
Bo PengiD, Gao T. WangiD, Jun MaiD, Man Chong LeongiD, Chris WakefieldiD, James M. MelottiD, Yulun Chiu, Di DuiD, John N. WeinsteiniD
Abstract
MotivationComplex bioinformatic data analysis workflows involving multiple scripts in different languages can be difficult to consolidate, share, and reproduce. An environment that streamlines the entire processes of data collection, analysis, visualization and reporting of such multi-language analyses is currently lacking.\n\nResultsWe developed Script of Scripts (SoS) Notebook, a web-based notebook environment that allows the use of multiple scripting language in a single notebook, with data flowing freely within and across languages. SoS Notebook enables researchers to perform sophisticated bioinformatic analysis using the most suitable tools for different parts of the workflow, without the limitations of a particular language or complications of cross-language communications.\n\nAvailabilitySoS Notebook is hosted at http://vatlab.github.io/SoS/ and is distributed under a BSD license.\n\nContactbpeng@mdanderson.org
- Citations
- 9
- FWCI
- 2.13
- Field percentile
- top 9%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Reproducible Bioconductor Workflows Using Browser-Based Interactive Notebooks And Containers
Reem Almugbel, Ling‐Hong Hung, … Ka Yee Yeung·Journal of the American Medical Informatics AssociationPeer-reviewed·Sep 28, 2017
- BioJupies: Automated Generation of Interactive Notebooks for RNA-seq Data Analysis in the Cloud
Denis Torre, Alexander Lachmann, Avi Ma’ayan·Cell SystemsPeer-reviewed·Nov 1, 2018
- BioSAILs: versatile workflow management for high-throughput data analysis
Jillian D Rowe, Nizar Drou, … Kristin C. Gunsalus·bioRxiv·Jan 2, 2019
- MetaR: simple, high-level languages for data analysis with the R ecosystem
Fabien Campagne, William ER Digan, Manuele Simi·bioRxiv·Mar 17, 2016
- Genomics to Notebook (g2nb): extending the electronic notebook to address the challenges of bioinformatics analysis
Michael M. Reich, Thorin T. Tabor, … Jill P. Mesirov·Journal of Bioinformatics and Systems BiologyPeer-reviewed·Jan 1, 2025
- Bioconda: A sustainable and comprehensive software distribution for the life sciences
Björn Grüning, Ryan Dale, … Matthew L. Workentine·Nature MethodsPeer-reviewed·Jun 25, 2018