Evidence map›Paper›PMID 30447998›Full record

ArticleCell systems2018

BioJupies: Automated Generation of Interactive Notebooks for RNA-Seq Data Analysis in the Cloud.

Denis Torre, Alexander Lachmann, Avi Ma'ayan

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 184 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
184citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

184 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. bioRxiv : the preprint server for biology · 2026
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  15. ATF4 in proximal tubules modulates kidney function and modifies the metabolome.Journal of molecular medicine (Berlin, Germany) · 2025
    Article
  16. Article
  17. lncRNAlyzr: Enrichment Analysis for lncRNA Sets.Journal of molecular biology · 2025
    Article
  18. Article
  19. Article
  20. Article

124 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Denis TorreDepartment 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.
Alexander LachmannDepartment 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.
Avi Ma'ayanDepartment 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. Electronic address: avi.maayan@mssm.edu.

Funding

Data Coordination and Integration Center for LINCS-BD2KU54HL127624 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SCHURER, STEPHAN C · 2014 to 2019
$23.5M
User Interface PortalU54CA189201 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DUDLEY, JOEL THOMAS, MA'AYAN, AVI · 2014 to 2017
$1.9M
Knowledge Management Center for Illuminating the Druggable GenomeU24CA224260 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2018 to 2023
$1.5M
Development and Implementation Plan for Community Supported FAIR Guidelines and MetricsOT3OD025467 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI · 2017 to 2018
$1.2M
NCI NIH HHS U24 CA224260NCI NIH HHS U54 CA189201NHLBI NIH HHS U54 HL127624NIH HHS OT3 OD025467
6 · The paper itself

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.

Indexed as

SoftwareAnimalsComputational BiologyHigh-Throughput Nucleotide SequencingHumansMiceSequence Analysis, RNAbioinformaticsData Commonsdata visualizationenrichment analysisJupyter NotebookpipelineRNA-seqsystems biology

Identifiers

PMID30447998
PMCPMC6265050

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.