Evidence map›Paper›PMID 37955770›Full record

ArticleAdvances in anatomy, embryology, and cell biology2023

Roles of Skeletal Muscle in Development: A Bioinformatics and Systems Biology Overview.

Jean-Sebastien Milanese, Richard Marcotte, Willard J Costain, Boris Kablar, Simon Drouin

Abstract read
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In one paragraph

Article in Advances in anatomy, embryology, and cell biology, 2023. 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

5 authors.

Jean-Sebastien MilaneseHuman Health Therapeutics, National Research Council of Canada , Montreal, QC, Canada.
Richard MarcotteHuman Health Therapeutics, National Research Council of Canada , Montreal, QC, Canada.
Willard J CostainHuman Health Therapeutics, National Research Council of Canada, Ottawa, ON, Canada.
Boris KablarDepartment of Medical Neuroscience, Anatomy and Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.
Simon DrouinHuman Health Therapeutics, National Research Council of Canada , Montreal, QC, Canada. Simon.Drouin@cnrc-nrc.gc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to assess various cellular events consequent to perturbations, such as genetic mutations, disease states and therapies, has been recently revolutionized by technological advances in multiple "omics" fields. The resulting deluge of information has enabled and necessitated the development of tools required to both process and interpret the data. While of tremendous value to basic researchers, the amount and complexity of the data has made it extremely difficult to manually draw inference and identify factors key to the study objectives. The challenges of data reduction and interpretation are being met by the development of increasingly complex tools that integrate disparate knowledge bases and synthesize coherent models based on current biological understanding. This chapter presents an example of how genomics data can be integrated with biological network analyses to gain further insight into the developmental consequences of genetic perturbations. State of the art methods for conducting similar studies are discussed along with modern methods used to analyze and interpret the data.

Indexed as

Computational BiologySystems BiologyGenomicsKnowledge BasesMuscle, SkeletalBioinformaticsGenomicsMicroarrayNetwork analysisSequencingSystems biology

Identifiers

What Socratic 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 Socratic graph.