Evidence map›Paper›PMID 38355833›Full record

ReviewNature protocols2024

Web-based multi-omics integration using the Analyst software suite.

Jessica D Ewald, Guangyan Zhou, Yao Lu, Jelena Kolic, Cara Ellis, James D Johnson, Patrick E Macdonald, Jianguo Xia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
38.8field-weighted citation impact, top 1% of its field
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

109 citing papers in PubMed, 166 citations in OpenAlex.

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49 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

8 authors at 3 institutions in 1 country.

Jessica D EwaldInstitute of Parasitology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-7555-736X
Guangyan ZhouInstitute of Parasitology, McGill University, Montreal, Quebec, Canada.
Yao LuDepartment of Microbiology and Immunology, McGill University, Montreal, Quebec, Canada.
Jelena KolicLife Sciences Institute, Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Cara EllisDepartment of Pharmacology, University of Alberta, Edmonton, Alberta, Canada.
James D JohnsonLife Sciences Institute, Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Patrick E MacdonaldDepartment of Pharmacology, University of Alberta, Edmonton, Alberta, Canada.
Jianguo XiaInstitute of Parasitology, McGill University, Montreal, Quebec, Canada. jeff.xia@mcgill.ca.ORCID 0000-0003-2040-2624
McGill University · CAUniversity of Alberta · CAUniversity of British Columbia · CA

Funding

Canadian HIV Trials Network, Canadian Institutes of Health Research (Réseau canadien pour les essais VIH des IRSC) TG 179092Diabetes Canada (DC) 5-SRA-2021-1149-S-BGouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) TG 179092Juvenile Diabetes Research Foundation Canada (JDRF Canada) 5-SRA-2021-1149-S-B
6 · The paper itself

Abstract

The growing number of multi-omics studies demands clear conceptual workflows coupled with easy-to-use software tools to facilitate data analysis and interpretation. This protocol covers three key components involved in multi-omics analysis, including single-omics data analysis, knowledge-driven integration using biological networks and data-driven integration through joint dimensionality reduction. Using the dataset from a recent multi-omics study of human pancreatic islet tissue and plasma samples, the first section introduces how to perform transcriptomics/proteomics data analysis using ExpressAnalyst and lipidomics data analysis using MetaboAnalyst. On the basis of significant features detected in these workflows, the second section demonstrates how to perform knowledge-driven integration using OmicsNet. The last section illustrates how to perform data-driven integration from the normalized omics data and metadata using OmicsAnalyst. The complete protocol can be executed in ~2 h. Compared with other available options for multi-omics integration, the Analyst software suite described in this protocol enables researchers to perform a wide range of omics data analysis tasks via a user-friendly web interface.

Indexed as

InternetMetabolomicsProteomicsSoftwareComputational BiologyGenomicsHumansIslets of LangerhansLipidomicsMultiomics

Identifiers

PMID38355833
OpenAlexW4391807885

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.