Evidence map›Paper›PMID 33583104›Full record

ArticleCurrent protocols2021

Using Galaxy to Perform Large-Scale Interactive Data Analyses-An Update.

Alexander Ostrovsky, Jennifer Hillman-Jackson, Dave Bouvier, Dave Clements, Enis Afgan, Daniel Blankenberg, Michael C Schatz, Anton Nekrutenko, James Taylor, The Galaxy Team and 1 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Omics Analyses: How to Navigate Through a Constant Data Deluge.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Alexander OstrovskyJohns Hopkins University, Baltimore, Maryland.
Jennifer Hillman-JacksonPenn State University, University Park, Pennsylvania.
Dave BouvierPenn State University, University Park, Pennsylvania.
Dave ClementsJohns Hopkins University, Baltimore, Maryland.
Enis AfganJohns Hopkins University, Baltimore, Maryland.
Daniel BlankenbergCleveland Clinic, Lerner Research Institute, Cleveland, Ohio.
Michael C SchatzJohns Hopkins University, Baltimore, Maryland.
Anton NekrutenkoPenn State University, University Park, Pennsylvania.
James TaylorJohns Hopkins University, Baltimore, Maryland.
The Galaxy TeamJohns Hopkins University, Baltimore, Maryland.
Delphine LarivierePenn State University, University Park, Pennsylvania.

Funding

Democratization of Data Analysis in Life Sciences Through GalaxyU41HG006620 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, SCHATZ, MICHAEL · 2012 to 2020
$14.4M
Turning big data analysis infrastructure for HIV researchR01AI134384 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON, POND, SERGEI L KOSAKOVSKY · 2017 to 2021
$4.2M
NHGRI NIH HHS U41 HG006620NIAID NIH HHS R01 AI134384NSF 1661497
6 · The paper itself

Abstract

Modern biology continues to become increasingly computational. Datasets are becoming progressively larger, more complex, and more abundant. The computational savviness necessary to analyze these data creates an ongoing obstacle for experimental biologists. Galaxy (galaxyproject.org) provides access to computational biology tools in a web-based interface. It also provides access to major public biological data repositories, allowing private data to be combined with public datasets. Galaxy is hosted on high-capacity servers worldwide and is accessible for free, with an option to be installed locally. This article demonstrates how to employ Galaxy to perform biologically relevant analyses on publicly available datasets. These protocols use both standard and custom tools, serving as a tutorial and jumping-off point for more intensive and/or more specific analyses using Galaxy. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Finding human coding exons with highest SNP density Basic Protocol 2: Calling peaks for ChIP-seq data Basic Protocol 3: Compare datasets using genomic coordinates Basic Protocol 4: Working with multiple alignments Basic Protocol 5: Single cell RNA-seq.

Indexed as

Data AnalysisSoftwareComputational BiologyGenomeGenomicsHumanscomputational biologyGalaxyweb application

Identifiers

PMID33583104

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.