Evidence map›Paper›PMID 36894939›Full record

ArticleGenome biology2023

The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks.

Marouen Ben Guebila, Tian Wang, Camila M Lopes-Ramos, Viola Fanfani, Des Weighill, Rebekka Burkholz, Daniel Schlauch, Joseph N Paulson, Michael Altenbuchinger, Katherine H Shutta and 15 more

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. PARROT: Phase-Altering Regulatory Rewiring Over Time.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. SPONGE: simple prior omics network GEnerator.Bioinformatics (Oxford, England) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

25 authors.

Marouen Ben GuebilaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Tian WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Camila M Lopes-RamosDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Viola FanfaniDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Des WeighillDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Rebekka BurkholzDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Daniel SchlauchDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Joseph N PaulsonDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Michael AltenbuchingerDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Katherine H ShuttaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Abhijeet R SonawaneChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
James LimDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.
Genis CaldererCenter for Molecular Medicine Norway, Nordic EMBL Partnership, University of Oslo, Oslo, Norway.
David G P van IJzendoornDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Daniel MorganChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Alessandro MarinExpert Analytics AS, Oslo, Norway.
Cho-Yi ChenDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Qi SongChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Enakshi SahaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Megha PadiDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.
John PlatigChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Marieke L KuijjerCenter for Molecular Medicine Norway, Nordic EMBL Partnership, University of Oslo, Oslo, Norway.
Kimberly GlassDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
John QuackenbushDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. johnq@hsph.harvard.edu.ORCID 0000-0002-2702-5879

Funding

Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SILVERMAN, EDWIN K · 2013 to 2025
$24.9M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
Leveraging Variant-perturbed Gene Regulation to Support Precision Medicine in COPDR01HL155749 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Kimberly Renee Glass · 2022 to 2026
$4.2M
WebMeV: A Robust Platform for Intuitive Genomic Data AnalysisU24CA231846 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2019 to 2023
$3.2M
Networks Tools to Understand Sex- and Gender-Specific Drivers of DiseaseR01HG011393 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L, QUACKENBUSH, JOHN · 2021 to 2024
$2.1M
Unraveling the regulatory circuits that drive Merkel cell carcinomaR01CA251729 · NCI · UNIVERSITY OF ARIZONA · PI PADI, MEGHA · 2021 to 2025
$1.7M
Context matters: Network modeling of COPD regulatory variants across tissues and exposuresK25HL140186 · NHLBI · UNIVERSITY OF VIRGINIA · PI PLATIG, JOHN · 2018 to 2022
$926k
NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA251729NCI NIH HHS R35 CA197449NCI NIH HHS R35 CA220523NCI NIH HHS U24 CA231846NHGRI NIH HHS R01 HG011393NHLBI NIH HHS K25 HL140186NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL155749NHLBI NIH HHS T32 HL007427
6 · The paper itself

Abstract

Inference and analysis of gene regulatory networks (GRNs) require software that integrates multi-omic data from various sources. The Network Zoo (netZoo; netzoo.github.io) is a collection of open-source methods to infer GRNs, conduct differential network analyses, estimate community structure, and explore the transitions between biological states. The netZoo builds on our ongoing development of network methods, harmonizing the implementations in various computing languages and between methods to allow better integration of these tools into analytical pipelines. We demonstrate the utility using multi-omic data from the Cancer Cell Line Encyclopedia. We will continue to expand the netZoo to incorporate additional methods.

Indexed as

Gene Regulatory NetworksNeoplasmsAlgorithmsComputational BiologyHumansMultiomicsSoftwareGene regulationMulti-omic analysisNetwork biologyOpen-source software

Identifiers

PMID36894939
PMCPMC9999668

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.