Evidence map›Paper›PMID 42680963›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2026

Practicing Data Science in Interactive Notebooks.

Jasmine Chong, Susan McClatchy, Joshua Mitchell, Shuzhao Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jasmine ChongThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Susan McClatchyThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Joshua MitchellThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Shuzhao LiThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA. Shuzhao.Li@jax.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Jupyter Notebook is a platform for interactive computing that displays code and results in the same browser, making it valuable for teaching, prototyping, data analysis, and collaboration. Its explicit and transparent structure greatly reproducibility while its backend server supports flexible deployment. In the past few years, Jupyter notebooks and similar tools have become increasingly popular. In this chapter, we will review key aspects of data analysis in a cloud environment and demonstrate common tasks for analyzing metabolomics data using template notebooks. This is an accompaniment to the basic bioinformatics tools and essential data science toolkit introduced in the first edition.

Indexed as

Computational BiologyData ScienceMetabolomicsSoftwareHumansUser-Computer InterfaceData analysisData scienceJupyterMetabolomicsNotebooksPythonR

Identifiers

What OpenQuestion holds

Textmetadata
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.